# chatgptplugins.directory > An independent directory of ChatGPT plugins (532), apps (4070) and MCP servers (192), with install instructions, tutorials and news. Every page is available as Markdown by appending .md to its URL or sending Accept: text/markdown. Agents can also query the directory over MCP at https://chatgptplugins.directory/api/mcp (tools: search, fetch, list_listings) or read JSON from https://chatgptplugins.directory/api/v1/listings. ## Directory - [ChatGPT Plugins](https://chatgptplugins.directory/plugins.md): Plugins bundle apps, skills and MCP servers into one install for ChatGPT and Codex. Since July 2026 they're what ChatGPT's Plugin Directory lists. - [ChatGPT Apps](https://chatgptplugins.directory/apps.md): Apps run inside a ChatGPT conversation: book, shop, design and work without leaving the chat. Each one is an MCP server, often with an interactive UI. - [MCP Servers](https://chatgptplugins.directory/mcp.md): Connect ChatGPT developer mode, Codex and the OpenAI API to your tools and data. Every server comes with a config you can copy instead of piecing it together from a README. - [Development](https://chatgptplugins.directory/category/development.md): 695 listings - [DevOps & Cloud](https://chatgptplugins.directory/category/devops-and-cloud.md): 119 listings - [Data & Analytics](https://chatgptplugins.directory/category/data-and-analytics.md): 453 listings - [Productivity](https://chatgptplugins.directory/category/productivity.md): 796 listings - [Business](https://chatgptplugins.directory/category/business.md): 710 listings - [Finance](https://chatgptplugins.directory/category/finance.md): 548 listings - [Sales & CRM](https://chatgptplugins.directory/category/sales-and-crm.md): 106 listings - [Marketing](https://chatgptplugins.directory/category/marketing.md): 205 listings - [Design](https://chatgptplugins.directory/category/design.md): 414 listings - [Writing](https://chatgptplugins.directory/category/writing.md): 65 listings - [Research](https://chatgptplugins.directory/category/research.md): 233 listings - [Education](https://chatgptplugins.directory/category/education.md): 360 listings - [Travel](https://chatgptplugins.directory/category/travel.md): 460 listings - [Shopping](https://chatgptplugins.directory/category/shopping.md): 128 listings - [Food & Delivery](https://chatgptplugins.directory/category/food-and-delivery.md): 71 listings - [Media & Entertainment](https://chatgptplugins.directory/category/media-and-entertainment.md): 426 listings - [Health & Fitness](https://chatgptplugins.directory/category/health-and-fitness.md): 144 listings - [Security](https://chatgptplugins.directory/category/security.md): 75 listings - [Communication](https://chatgptplugins.directory/category/communication.md): 208 listings - [Lifestyle](https://chatgptplugins.directory/category/lifestyle.md): 144 listings - [AI & ML](https://chatgptplugins.directory/category/ai-and-ml.md): 178 listings - [Real Estate](https://chatgptplugins.directory/category/real-estate.md): 120 listings ## Tutorials - [Build your first ChatGPT app with an MCP server and a UI widget](https://chatgptplugins.directory/tutorials/build-your-first-chatgpt-app.md): Build a minimal ChatGPT app in TypeScript: an MCP server with one tool and an MCP Apps widget, tested in MCP Inspector and connected through developer mode. - [How to add a custom MCP server to ChatGPT with developer mode](https://chatgptplugins.directory/tutorials/add-mcp-server-to-chatgpt.md): Connect your own remote MCP server to ChatGPT using developer mode: requirements, auth options, step-by-step setup, refreshing tools and fixing common errors. - [How to install, use and remove plugins in ChatGPT](https://chatgptplugins.directory/tutorials/install-plugins-in-chatgpt.md): Find plugins in ChatGPT's Plugin Directory, connect your accounts, call them with @ in a chat, and disconnect or uninstall them on web, desktop and mobile. - [How to package and publish a ChatGPT plugin](https://chatgptplugins.directory/tutorials/publish-a-chatgpt-plugin.md): Package skills and an MCP server as a plugin with plugin.json, test it from a local marketplace, then upload, pass review and publish it to the directory. - [Test and debug an MCP server with MCP Inspector](https://chatgptplugins.directory/tutorials/test-mcp-server-with-inspector.md): Debug an MCP server before you connect it to ChatGPT: MCP Inspector web UI and CLI, tunnels, logs, schema and annotation checks, and OAuth debugging. - [Use plugins and MCP servers in Codex](https://chatgptplugins.directory/tutorials/use-plugins-in-codex.md): Install plugins in the Codex CLI with /plugins or codex plugin add, add marketplaces, enable plugins per project, and connect MCP servers through config.toml. - [Use remote MCP servers in the OpenAI API and Agents SDK](https://chatgptplugins.directory/tutorials/mcp-in-the-openai-api.md): Call remote MCP servers from the OpenAI Responses API with the mcp tool type: server_url, allowed_tools, approvals and authorization, plus Agents SDK examples. - [Write an Agent Skill for ChatGPT and Codex](https://chatgptplugins.directory/tutorials/write-a-skill-for-chatgpt-and-codex.md): Write a skill with SKILL.md, scripts and references, load it in Codex, test when it triggers, and bundle it in a plugin so it also works in ChatGPT. ## Blog - [ChatGPT plugin for Excel & Google Sheets (2026 guide)](https://chatgptplugins.directory/blog/chatgpt-for-excel-and-google-sheets-guide.md): How to install and use ChatGPT for Excel and Google Sheets: plans, setup steps, prompts, skills, apps, Codex, limits, privacy and the best alternatives. - [Governing AI agents: the Blueprint Alliance whitepaper, summarized](https://chatgptplugins.directory/blog/blueprint-alliance-governing-agentic-execution.md): A summary of the Blueprint Alliance whitepaper on securing enterprise AI agents: six principles, four pillars, the MCP controls it calls for and where to start. - [How to set up the Exa MCP server: a hands-on guide](https://chatgptplugins.directory/blog/how-to-set-up-exa-mcp-server.md): Connect Exa's hosted MCP server to Claude Code, Cursor, VS Code, Codex or ChatGPT, pick an auth mode, enable advanced tools, and debug it with curl. - [The best ChatGPT plugins for everyday work and life (October 2026)](https://chatgptplugins.directory/blog/best-chatgpt-plugins-for-everyday-work.md): 12 ChatGPT plugins and apps for email, calendars, documents, PDFs, design, travel, dining, groceries, music, home search and learning, and what each one does. - [ChatGPT plugin and MCP server security checklist](https://chatgptplugins.directory/blog/chatgpt-plugin-security-checklist.md): Check these before installing a ChatGPT plugin or MCP server: publisher, OAuth scopes, write actions, prompt injection, data retention and admin controls. - [The best ChatGPT plugins for developers (October 2026)](https://chatgptplugins.directory/blog/best-chatgpt-plugins-for-developers.md): 12 ChatGPT and Codex plugins and MCP servers worth installing as a developer: GitHub, Linear, Sentry, Vercel, Supabase, Stripe, Figma, Context7 and more. - [DevDay 2026: what it means for plugin builders](https://chatgptplugins.directory/blog/devday-2026-what-it-means-for-plugin-builders.md): Plugin Extensions, MCP Events, Sign in with ChatGPT, dots and new admin controls: the DevDay 2026 announcements that matter if you build or use plugins. - [Plugins vs apps vs MCP servers vs skills: what's the difference?](https://chatgptplugins.directory/blog/plugins-vs-apps-vs-mcp-servers-vs-skills.md): How ChatGPT plugins, apps, MCP servers and skills relate, with a comparison table and a quick guide to which one you need as a user or a builder. - [What happened to ChatGPT plugins?](https://chatgptplugins.directory/blog/what-happened-to-chatgpt-plugins.md): ChatGPT plugins shut down in 2024, gave way to GPTs, connectors and apps, and came back in 2026 as something new. The full 2023-2026 timeline. - [The ChatGPT App Directory is now the Plugin Directory](https://chatgptplugins.directory/blog/app-directory-is-now-the-plugin-directory.md): On July 9, 2026 OpenAI replaced the ChatGPT App Directory with the Plugin Directory. What changed, what stayed the same, and what users and builders should do. ## Optional - [Full text of all tutorials and posts](https://chatgptplugins.directory/llms-full.txt) - [All listings as JSON](https://chatgptplugins.directory/api/v1/listings) - [For agents: MCP, API and Markdown access](https://chatgptplugins.directory/agents.md) - [RSS feed](https://chatgptplugins.directory/rss.xml) # ChatGPT plugin for Excel & Google Sheets (2026 guide) > How to install and use ChatGPT for Excel and Google Sheets: plans, setup steps, prompts, skills, apps, Codex, limits, privacy and the best alternatives. Published: 2026-10-22 · By: Divy Chaurasia · Tags: spreadsheets, productivity, getting-started The official way to use ChatGPT in a spreadsheet is **ChatGPT for Excel and Google Sheets**, OpenAI's add-in that runs as a sidebar inside your workbook. In Excel, install it from **Home > Add-ins** by searching for "ChatGPT". In Google Sheets, install it from the Google Workspace Marketplace and open it from the **Extensions** menu. Sign in with your ChatGPT account and ask in plain language: build a budget, explain a formula, fix an error, clean a sheet or run scenarios. It is available worldwide on every ChatGPT plan, Free included, though Free and Go get limited usage ([OpenAI Help Center](https://help.openai.com/en/articles/20001063-chatgpt-for-excel-and-google-sheets)). People often search for a "ChatGPT plugin for Excel". Strictly, the spreadsheet tool is an Office add-in and a Google Sheets add-on, not a plugin from the ChatGPT Plugin Directory. Several directory plugins and apps also work with spreadsheets, though. This guide covers both, plus where each one fits. ## Which option should you use? | You want to | Use | Where it runs | | --- | --- | --- | | Work inside an open Excel workbook | ChatGPT for Excel add-in | Excel desktop or web | | Work inside an open Google Sheet | ChatGPT for Google Sheets add-on | Google Sheets | | Have an agent edit an open Excel file using code and local files | Codex with the Excel add-in | ChatGPT desktop app | | Create or edit a Sheet from a ChatGPT chat | ChatGPT Work with the [Google Drive](/plugins/google-drive) plugin | ChatGPT web and desktop | | Find and summarize workbooks in SharePoint or OneDrive | [SharePoint](/apps/sharepoint) app | ChatGPT | | Analyze a one-off CSV or .xlsx file | Upload the file in a ChatGPT chat | ChatGPT | | Run bulk row-by-row jobs on a Google Sheet | [Autosheet](/apps/autosheet) app | ChatGPT, with the agent working in Sheets | | Edit .xlsx files from a local agent without Excel installed | [Excel MCP server](/mcp/excel) | Codex or another local MCP client | ## What happened to the old ChatGPT Excel plugins? In 2023, several third-party "ChatGPT plugins" offered spreadsheet help. All of them stopped working when OpenAI closed the original plugin store: no new installs after March 19, 2024, and existing plugin conversations ended on April 9, 2024 ([full timeline](/blog/what-happened-to-chatgpt-plugins)). Guides and videos from that period describe tools that no longer exist. The current tool is a different product. OpenAI launched **ChatGPT for Excel** in beta on March 5, 2026, running on GPT‑5.4. **ChatGPT for Google Sheets** joined it in beta on April 22, 2026, along with support for skills and apps in both. On May 5, 2026 both became generally available across all plans, now powered by GPT‑5.5 ([OpenAI announcement](https://openai.com/index/chatgpt-for-excel/)). | Date | What changed | | --- | --- | | March 5, 2026 | ChatGPT for Excel beta (GPT‑5.4), alongside new financial data apps | | April 22, 2026 | ChatGPT for Google Sheets beta; skills and apps added to both | | May 5, 2026 | General availability on all plans, powered by GPT‑5.5 | | June 2, 2026 | Free preview for Business, Enterprise, Edu and K-12 ends; usage moves to plan credits | ## Who can use it and what it costs According to OpenAI's [help article](https://help.openai.com/en/articles/20001063-chatgpt-for-excel-and-google-sheets), the add-in is available globally to Free, Go, Plus, Pro, Business, Enterprise, Edu and K-12 users. - **Free and Go:** limited usage. - **Plus and Pro:** included, subject to your plan's agentic usage limit. That limit is shared with ChatGPT's other agentic features. - **Business, Enterprise, Edu and K-12:** a free preview ran until June 2, 2026. Since then, usage follows each plan's credits. Admins can monitor usage and buy more credits. Installing it costs nothing extra. Bigger workbooks, multi-step edits and complex analysis use more of your limit, so a quick formula question costs far less than rebuilding a model. > **Note:** Older reports from the beta say it was limited to paid plans or to certain countries. That stopped being true at general availability in May 2026. ## How to install ChatGPT in Excel 1. Open Microsoft Excel on desktop or on the web. 2. Go to **Home > Add-ins**. 3. Search for **ChatGPT** and add it. 4. Open **ChatGPT** from the ribbon. 5. Sign in with the ChatGPT account that has your plan. If you belong to a workspace, pick it. If your organization blocks the Microsoft Store add-in, a Microsoft 365 admin can deploy it internally instead. Download the manifest XML linked from OpenAI's help article. In the Microsoft 365 admin center, go to **Integrated apps > Deploy Add-in > Upload custom apps**, upload the file and assign it to the right users or groups. ## How to install ChatGPT in Google Sheets 1. Install **ChatGPT** from the [Google Workspace Marketplace](https://workspace.google.com/marketplace/app/chatgpt/870214997678). The listing is published by OpenAI and showed more than 3 million installs as of October 2026. 2. Open a spreadsheet in Google Sheets. 3. Go to **Extensions > ChatGPT** to open the sidebar. 4. Sign in with the ChatGPT account that has your plan. On install, the add-on asks for permission to view and manage spreadsheets it is installed in and to see your email address. Read the consent screen before you accept, especially on a work account. ## Admin setup for Business, Enterprise and Edu In workspaces that use role-based access control, users may see the add-in but be unable to sign in until an admin enables it: 1. Open **Workspace settings**. 2. Select **Permissions & roles**. 3. Select **ChatGPT for Excel and Google Sheets**. 4. Turn on **Enable ChatGPT for Excel and Sheets**. One setting covers both Excel and Google Sheets. Admins also control which apps are available inside the add-in. The add-in supports workspace controls such as data and inference residency where available, Enterprise Key Management and role-based access, and its prompts and responses appear in the Compliance API. If Windows Excel shows "This add-in could not be started" during single sign-on, OpenAI says this can happen when an older SSO callback URL redirects to its current endpoint. A global admin fixes it by copying the ACS URL from **OpenAI Admin Portal > Identity > SSO > Manage SSO** and making it the default in the identity provider. ## What it can do ChatGPT in the sidebar can read the whole workbook, including large multi-tab files, and change it directly. OpenAI lists these uses: - Building trackers, budgets, plans and templates from scratch - Cleaning messy sheets: formatting, labels, duplicates and broken formulas - Explaining an unfamiliar spreadsheet: its assumptions, drivers and key formulas - Updating a model when inputs change, then summarizing what changed - Running scenarios and sensitivity tables - Reviewing reporting, KPI, planning and forecasting work It also searches the web to pull data into a workbook. It links answers to the exact cells it read or changed, and it asks permission before editing so you can review each step and undo changes ([OpenAI](https://openai.com/index/chatgpt-for-excel/)). Calculations still run in Excel or Sheets, so you can audit the formulas it writes like any others. ### Prompts to try | Task | Prompt | | --- | --- | | Build | "Build a formatted monthly budget with categories, totals and a chart of spending by category." | | Debug | "Why am I getting an error in cell B145? Explain the formula chain and propose a fix." | | Explain | "Walk me through this model. Which inputs drive the revenue line on the Summary tab?" | | Clean | "Standardize formatting, fix inconsistent labels and remove duplicate rows on the Leads tab." | | Update | "Update the Inputs tab with these new assumptions, then list exactly which cells changed." | | Scenarios | "Create a new tab that compares base, upside and downside cases for next year." | | Summarize | "Summarize trends across the Q1, Q2 and Q3 tabs and call out anything unusual." | | Research | "Look up the latest population of each city in column A and add it to column B with sources." | Type `@` and pick a sheet name to focus a prompt on one tab, for example "@Inputs only: change the growth rate to 4%." ## Skills and apps inside the sidebar Since April 2026 the add-in supports the same building blocks as ChatGPT itself ([what these terms mean](/blog/plugins-vs-apps-vs-mcp-servers-vs-skills)): - **Skills** are reusable playbooks for spreadsheet work: workflows, formatting standards and output structures, so you don't rewrite the same long prompt each time. Two come built in, for **financial modeling** and **corporate finance formatting**. Select **+** to browse them, or type `@` and the skill name. - **Apps** let the sidebar use data from services connected to your ChatGPT account. Select **+**, then open apps. Apps you have connected in ChatGPT carry over, subject to admin settings and your permissions in each service. The financial data apps announced with the Excel launch are the obvious match. With [FactSet AI-Ready Data](/apps/factset-ai-ready-data), [Daloopa](/plugins/daloopa), [Moody's](/apps/moodys) or [Wisesheets](/apps/wisesheets) connected, you can pull company figures straight into a model. Some of these need an existing subscription with the provider. > **Tip for app builders:** OpenAI says MCP tools meant for the spreadsheet sidebar should be annotated as read-only and non-destructive. Tools without explicit annotations may be handled conservatively and may not show up there. If you publish an MCP app and want it to work in Excel and Sheets, set those annotations accurately ([how `readOnlyHint` works](/tutorials/build-your-first-chatgpt-app)). ## Use Excel with Codex in the ChatGPT desktop app If you work in the ChatGPT desktop app, Codex can drive an open Excel workbook through the add-in. It can inspect and update sheets, formulas, values, formatting and charts. It can also use code and local files as part of the job, such as reconciling a workbook against a CSV export in a project folder. This works with Microsoft Excel only, not Google Sheets. 1. Install ChatGPT for Excel and sign in with the **same** ChatGPT account and workspace you use in Codex. 2. Open the workbook in Excel and keep the add-in pane open. 3. In the ChatGPT desktop app, select **Codex** and mention `@Microsoft Excel`, or ask Codex to work with the open workbook. 4. Review the changes before you save or share. If Codex can't find the workbook, check three things: both are signed in to the same account and workspace, **Allow Codex control** is on in the add-in's **•••** menu, and the workbook and pane are still open. Codex doesn't use direct Excel control for every spreadsheet request. New to Codex? Start with [Use plugins in Codex](/tutorials/use-plugins-in-codex). ## Other ways to use ChatGPT with spreadsheets The add-in works inside one open workbook. For anything else, these options cover the gaps. ### Create or edit Google Sheets from a chat ChatGPT Work can create and edit native Google Docs, Sheets and Slides once the Google Workspace app is connected, and it asks you to choose the file and approve each action ([OpenAI Help Center](https://help.openai.com/en/articles/20001278-creating-and-editing-documents-spreadsheets-and-presentations-with-chatgpt-work)). OpenAI's Google Drive plugin bundles skills for Docs, Sheets, Slides and Drive comments, so a prompt like "Update the Q3 tracker sheet with these numbers" works from a normal chat. You can also save a workbook as a template and reuse its structure for new spreadsheets. > **plugin:** [Google Drive](https://chatgptplugins.directory/plugins/google-drive): Drive, Docs, Sheets or Slides ### Find workbooks in SharePoint and OneDrive Microsoft 365 users can connect OpenAI's SharePoint app to find, summarize and organize files across SharePoint sites and OneDrive, workbooks included. To edit a workbook's cells, open it in Excel and use the add-in. > **app:** [SharePoint](https://chatgptplugins.directory/apps/sharepoint): Find and summarize SharePoint and OneDrive files ### Upload a file for one-off analysis For a quick answer you don't need anything installed. Attach a CSV or .xlsx file to a chat and ask for summaries, charts or a cleaned copy. ChatGPT analyzes a copy, so nothing changes in your original file. That makes it a safe first step with a sensitive workbook, provided you're comfortable sharing the data with ChatGPT. ### Spreadsheet apps and plugins in the directory Third-party developers publish ChatGPT apps for spreadsheet jobs the official add-in doesn't target. Each app has its own account, pricing and privacy terms, so check them before you connect ([security checklist](/blog/chatgpt-plugin-security-checklist)). **Autosheet** runs its own spreadsheet agent on a Google Sheet. You give ChatGPT a prompt and a Sheets URL. It handles formulas, charts, pivot tables and formatting, and bulk row-by-row jobs such as enriching leads or categorizing a product catalog, which it says run at up to 1,000 rows per minute. Long jobs keep running on its servers. > **app:** [Autosheet](https://chatgptplugins.directory/apps/autosheet): Work in Google Sheets **Formula Genius** generates, explains and debugs Excel and Google Sheets formulas, and also writes SQL, regex, VBA macros and Google Apps Script. It is useful for the macro work the official add-in may not fully support. > **app:** [Formula Genius](https://chatgptplugins.directory/apps/formula-genius): Excel, Sheets, SQL, and regex **Julius** analyzes Excel and CSV files with Python: cleaning and combining datasets, regressions, forecasts, charts, dashboards and PowerPoint output. Files live in your Julius library rather than in your workbook. > **app:** [Julius: Excel & Data Analysis](https://chatgptplugins.directory/apps/julius-excel-data-analysis): Analyze data and build reports **Spreadsheet Human UX** is a skill-only plugin for reviewing a workbook's usability: input flow, clarity, accessibility and auditability. > **plugin:** [Spreadsheet Human UX](https://chatgptplugins.directory/plugins/spreadsheet-human-ux): Human spreadsheets ### MCP servers for developers If you build agents or use Codex, MCP servers let you script spreadsheet work: - The community **Excel MCP server** creates, reads and edits .xlsx files without Excel installed: ranges, formatting, charts, tables and conditional formatting, limited to folders you allow. It runs locally over stdio, so it fits Codex and other local MCP clients. - The community **Google Workspace MCP** server covers Sheets alongside Gmail, Drive, Calendar, Docs and more. - Google's official Workspace MCP servers, which include one for Sheets, were in a developer preview at the time of writing. > **MCP server:** [Excel](https://chatgptplugins.directory/mcp/excel): Create, read and edit Excel workbooks without Microsoft Excel > **MCP server:** [Google Workspace MCP (community)](https://chatgptplugins.directory/mcp/google-workspace-mcp): 120+ tools across Gmail, Drive, Calendar, Docs, Sheets, Slides, Chat, and more To connect a remote MCP server to ChatGPT itself, see [How to add an MCP server to ChatGPT](/tutorials/add-mcp-server-to-chatgpt). ## Limitations to know From OpenAI's help article and launch post: - **Separate chat history.** Spreadsheet chats don't sync with your main ChatGPT history, so a conversation started in the sidebar won't appear in ChatGPT, and the other way round. - **No memory.** The sidebar can't use ChatGPT memory. Put standing instructions in a skill or repeat them in the prompt. - **VBA and macros** may not be fully supported. - **Complex formulas** and edge cases may still need manual work, and output may need cleanup to match your formatting conventions. - **Big jobs take longer.** During the beta, OpenAI warned that some responses could be slow. Large workbooks and multi-step edits also use more of your usage limit. - **Mistakes happen.** Review formulas, calculations, citations and changed cells before sharing. OpenAI also notes that ChatGPT is not a financial, legal or tax advisor. ## Privacy and data handling What OpenAI says happens to your data: - ChatGPT processes your prompt, attachments and the relevant spreadsheet context. - Your data is stored locally in the product, and you can download or delete it from the add-in's **Settings**. - Some data logs may be kept by OpenAI for 30 days for safety and integrity. - The add-in runs inside Microsoft's or Google's product, so your agreement with them applies too. Under Microsoft's Add-in Marketplace terms, Microsoft may be able to read your workbook content, attachments and prompts. For confidential models, check whether your company allows the add-in before you use it with real data. Work on a copy until you trust the results. ## Tips for better results - **Say what to leave alone.** "Update assumptions on the Inputs tab only. Don't change formatting. Summarize changes." - **Ask for a plan before big edits.** "Before editing, list exactly which tabs and ranges you'll modify." - **Duplicate important files first** so you can roll back. OpenAI recommends this too. - **Make it show its work.** Ask which cells it read and changed, then spot-check them. - **Turn repeat requests into a skill.** If you format every monthly report the same way, a skill saves rewriting the prompt ([how to write one](/tutorials/write-a-skill-for-chatgpt-and-codex)). - **Use the right tool for the job.** The add-in for work inside a workbook, Codex when local files or code are involved, and a chat with Google Drive when the spreadsheet is one step in a bigger task. ## FAQ ### Is there an official ChatGPT plugin for Excel? Yes, though it is an Excel add-in rather than a ChatGPT Plugin Directory plugin. **ChatGPT for Excel** is made by OpenAI and installs from **Home > Add-ins** in Excel. ### Is ChatGPT for Excel and Google Sheets free? Installing it is free, and Free and Go users get limited usage. Plus and Pro use count toward the plan's agentic usage limit. Business, Enterprise, Edu and K-12 use is billed through the plan's credits. ### Does it work in Excel for the web and on Mac? OpenAI's install steps cover Excel desktop and Excel on the web. Office add-ins generally run in Excel for Windows, Mac and the web. OpenAI's article doesn't list supported versions separately, so if the add-in doesn't appear, check for Excel updates and your organization's add-in policy. ### Can ChatGPT edit my spreadsheet directly? Yes. The add-in writes values, formulas, formatting and charts into the workbook and asks for permission before it makes changes. A file uploaded to a regular chat is a copy, so edits there produce a new file rather than changing yours. ### Can ChatGPT write VBA macros or Apps Script? ChatGPT can write VBA or Apps Script code for you to paste in, but OpenAI says the add-in may not fully support VBA and macros. Formula Genius, in the plugin directory, also targets macro and script generation. ### Which model does it use? GPT‑5.5 since general availability in May 2026. The beta launched on GPT‑5.4. ### Does my data train OpenAI's models? For ChatGPT Enterprise, OpenAI says shared data is not used for training by default ([OpenAI](https://openai.com/index/chatgpt-for-excel/)). On other plans, check your ChatGPT data controls and your workspace's terms. Either way, Microsoft's or Google's terms for the host app also apply. Looking for more tools for everyday work? See [The best ChatGPT plugins for everyday work](/blog/best-chatgpt-plugins-for-everyday-work), or browse spreadsheet and data tools in [/plugins](/plugins) and [/apps](/apps). ## Listings in this post - [Google Drive](https://chatgptplugins.directory/plugins/google-drive.md): Drive, Docs, Sheets or Slides - [SharePoint](https://chatgptplugins.directory/apps/sharepoint.md): Find and summarize SharePoint and OneDrive files - [Autosheet](https://chatgptplugins.directory/apps/autosheet.md): Work in Google Sheets - [Formula Genius](https://chatgptplugins.directory/apps/formula-genius.md): Excel, Sheets, SQL, and regex - [Julius: Excel & Data Analysis](https://chatgptplugins.directory/apps/julius-excel-data-analysis.md): Analyze data and build reports - [Spreadsheet Human UX](https://chatgptplugins.directory/plugins/spreadsheet-human-ux.md): Human spreadsheets - [Excel](https://chatgptplugins.directory/mcp/excel.md): Create, read and edit Excel workbooks without Microsoft Excel - [Google Workspace MCP (community)](https://chatgptplugins.directory/mcp/google-workspace-mcp.md): 120+ tools across Gmail, Drive, Calendar, Docs, Sheets, Slides, Chat, and more --- Source: https://chatgptplugins.directory/blog/chatgpt-for-excel-and-google-sheets-guide · Index: https://chatgptplugins.directory/llms.txt · Independent and community-run. Not affiliated with or endorsed by OpenAI. ChatGPT is a trademark of OpenAI. # Governing AI agents: the Blueprint Alliance whitepaper, summarized > A summary of the Blueprint Alliance whitepaper on securing enterprise AI agents: six principles, four pillars, the MCP controls it calls for and where to start. Published: 2026-10-22 · By: Divy Chaurasia · Tags: security, mcp, explainer The Blueprint Alliance's whitepaper, *Governing Agentic Execution* ([PDF](https://blueprintalliance.ai/blueprint-alliance-whitepaper.pdf)), is an open, multi-vendor reference architecture for securing AI agents inside large organizations. Its central claim is simple: an agent is a security principal in its own right. It is not a script and it is not a borrowed human login, so it needs the same identity, access, monitoring and offboarding controls we already apply to employees and service accounts. The paper organizes those controls around four questions: **Where are my agents? What can they do? What are they doing? How do I respond?** It is written for CISOs, CIOs, CTOs and security architects. But if you connect MCP servers, skills or plugins to work systems, you will recognize every problem it describes. This post summarizes each section and then lists the takeaways I think matter most. ## Why the paper exists The paper opens with a Gartner prediction: by 2028 the average global Fortune 500 company will run more than 150,000 agents, up from fewer than 15 in 2025. It also says only 13% of organizations believe they have the right agent governance in place. The authors call the result an identity, security and governance gap: shadow agents multiply, credentials get inherited across trust boundaries, and execution goes uncontained. Old controls don't fit because agents break the split between human identities (SSO, MFA) and machine identities (service accounts, API keys). The paper contrasts the two: | Traditional software | Agentic AI | | --- | --- | | Runs explicit, step-by-step code paths | Takes high-level intent and plans its own multi-step execution | | Uses static, predefined permissions | Picks APIs and apps at runtime, using token vaults, credential brokers and delegated sessions | | Limited to hardcoded integrations | Calls tools via MCP and spawns sub-agents | | Runs inside an authenticated user session | Runs asynchronously, often after the human has logged off | The conclusion is that security can't be bolted on at the model or network layer. It has to live in an agentic control plane that governs visibility, connectivity and execution continuously. ## The five questions boards are asking The paper lists five questions that security and compliance committees keep raising: 1. Where are our AI agents, and who owns them? 2. How do we restrict what agents can execute and keep them on task? 3. Can we audit and explain autonomous decisions after the fact? 4. What is our data exposure and third-party risk across the agent supply chain? 5. Do we have a verified kill switch and rollback plan if an agent goes rogue? These map onto the four pillars: discovery and identity answer question 1, access management answers 2, runtime monitoring answers 3 and 4, and containment answers 5. The authors stress these are a diagnostic, not a checklist: a read-only assistant doesn't need the containment controls of an agent that moves money. ## Six principles Everything in the architecture rests on six principles that extend zero trust to agents: - **Every hosted agent is a distinct identity.** Agents are provisioned, authenticated and deprovisioned like employees, pilots included. - **Access is scoped to the task, not standing.** The paper admits fully task-scoped grants are aspirational; in practice you pair short-lived grants with a baseline set of permissions. - **Delegation is traceable end to end.** When a human delegates to an agent and that agent spawns a sub-agent, every action should trace back to whoever authorized it. Again, the paper is candid that multi-hop delegation is a target that today's tooling only partly supports. - **Runtime is isolated and monitored, not just provisioned.** What an agent was granted at setup is necessary but not sufficient. You also need behavioral baselines from real runs. - **Containment is instant and reversible.** Every agent, from any vendor, needs a targeted kill switch that can suspend, quarantine or terminate it, and a clear way back. - **Governance adapts at the speed of AI.** Static permission ceilings are combined with dynamic, context-aware scoping. ## The four pillars The reference architecture arranges its components under the four questions, on top of a shared telemetry and risk-signal layer. ### Pillar 1: Where are my agents? You can't govern what you can't see, so the first pillar is discovery, posture and identity. **Discovery** covers agents your teams build, agents imported from vendors and registries, and shadow AI. For imported agents, the paper suggests asking three questions: who built it (first-party, SaaS, local or orchestration platform), who it serves (employees, businesses, consumers or an individual), and how it arrived (agent gateway, vendor catalog, or MCP and skill registry). Shadow AI discovery spans cloud, network egress, endpoints, browsers, OT hardware and even mail and calendar traffic, within privacy and employment rules. One idea here is worth highlighting: the **governed execution path as a detection surface**. If every sanctioned agent runs through a central control plane, then any agentic process running outside it is a shadow AI signal by definition. You don't need a separate detection rule for each environment. **Agent security posture management (AIASPM)** evaluates what discovery finds: vulnerabilities, signed provenance for code and model weights, misconfigurations such as hardcoded credentials, and adversarial testing in disposable sandboxes. It also includes **tool and skill supply-chain scanning**, which inspects MCP tool schemas and skills, including entries pulled from public registries, for hidden code and unauthorized egress before they are registered. **The Agent Directory** is where a discovered agent becomes a governed one. Each hosted agent gets a verified profile, a cryptographic identity, an accountable owner and recorded relationships. The paper defines classes from autonomous and on-behalf-of agents to orchestrators, sub-agents and guardian security agents, which need stricter attestation because they hold containment powers. Two practical notes stand out. Registration should be lightweight, or teams will route around it with shared human credentials. And sub-agents must run inside isolated execution boundaries that structurally enforce their inherited scope, because task boundaries enforced inside the model can fail. Across organizations, identity travels via standards such as OAuth Token Exchange and HTTP Message Signatures. ### Pillar 2: What can they do? This pillar defines what a registered agent may read, write or execute. Policies layer from coarse-grained roles to fine-grained rules tied to data classification, relationship-based access (who spawned this agent, who it acts for), intent-based checks on the agent's plan, time-bound grants, and hard guardrails that override the agent's reasoning entirely. Two rules are worth remembering: - **A sub-agent's effective permissions are the intersection** of its own entitlements and those of whoever delegated to it. This prevents confused-deputy escalation. Policy should also cap how wide and deep delegation can fan out. - **Expiry alone is weak.** Auto-approved, auto-expiring grants add little on their own; pair them with anomaly detection. Governance brings familiar identity practices to agents: human review above set thresholds (the paper's example is a purchase over $1,000, even if the agent has permission), continuous access reviews, separation of duties (no agent both creates and approves a payment), and joiner-mover-leaver processes for owner changes and model upgrades. ### Pillar 3: What are they doing? Identity and policy mean little without runtime enforcement. The paper describes five gateway types, each owning a different control point: - **AI/LLM gateway** for model API traffic, token counts and rate limits. - **MCP gateway** for tool and context traffic to MCP servers. - **Security gateway** for inline inspection: prompt injection, jailbreaks, malicious payloads and outbound redaction. - **Agent gateway** that binds identity to every request, maintains the tool and MCP registry agents draw from, and injects short-lived credentials at call time so agents never hold standing API keys. - **API gateway** that still performs its own final authorization on every call, rather than trusting that upstream gateways caught everything. Monitoring adds sandboxing, anomaly detection, prompt-injection scanning, output DLP, tracing of sub-agent calls, cost tracking for runaway loops, and pause points for human sign-off. The paper then goes a step further with **continuous intent and alignment enforcement**. Initial policy decides what an agent may access; this layer checks whether its behavior still matches the delegated task as it runs. It compares planned tool calls with actual ones to catch drift, injection-driven detours and confused-deputy behavior, and records why each material action was allowed, changed or blocked. **Purpose-aware data security** applies controls at the moment data is *used*, not only when it is accessed. Classification tells you what data is; purpose-aware controls decide whether this particular summary, export or message to a third-party agent is appropriate for the task at hand. ### Pillar 4: How do I respond? Containment should be proportional. The paper prefers the least disruptive response that works, such as throttling, then token or session revocation, network quarantine and environment suspension, with process or platform termination as a last resort. Termination destroys in-memory forensic data, so suspension is preferred. One warning stands out: a kill switch only works if the runtime can pause one agent without collateral damage. Without that support, API-driven containment only looks like control. The paper also insists on the second half of the loop: **access recovery**. A contained agent returns only after re-attestation against a known-good baseline, staged re-enrollment (read before write, sandbox before production), a documented root cause, and a closed audit record linking the incident from start to finish. ### The cross-cutting layer Under all four pillars sit two shared components. **Execution context and risk signals** correlate individually low-risk events into toxic combinations (for example, a prompt injection followed by an attempt to pull financial data) and trigger enforcement automatically, using open standards such as the Shared Signals Framework and CAEP. **Telemetry and logging**, normalized with OCSF, form the base layer. Crucially, telemetry should be captured at the execution boundary rather than self-reported by the agent, so a compromised agent can't edit its own record. ## Making it real: the operating model The paper argues that an architecture without an operating model becomes shelfware within a year. It frames this section around global system integrators, though it says internal teams or managed providers can do the same work. The most useful part is the suggested ownership split: security engineering owns gateways and monitoring, IAM owns the directory and policies, the SOC owns response, and platform engineering owns sandboxes and runtimes. It also covers risk tiering, regulatory mapping and sector playbooks. ## Where to start The paper closes with the sequence it says Alliance member deployments actually followed: 1. **Stand up unified logging and telemetry first.** Everything else depends on it. 2. **Start with discovery, not policy.** Most teams find more agents than they expected. 3. **Register before you restrict.** A policy on an unregistered agent governs nothing. 4. **Layer authorization.** Fine-grained and relationship-based controls must exist before intent-based policies can narrow them. 5. **Instrument runtime before automating response.** Automated containment on noisy data produces false positives that erode trust. 6. **Pressure-test the kill switch.** As the paper puts it, "a kill switch you've never tested is a hypothesis, not a control." 7. **Treat governance as continuous**, on the same cadence as human identity governance. ## Key takeaways **Agents are identities, so manage them like identities.** The most useful shift in the paper is moving agent security out of "AI safety" and into identity and access management, a discipline with mature processes for onboarding, reviews and offboarding. **Don't let the model enforce its own boundaries.** Sub-agent scope, isolation and guardrails are enforced structurally, outside the model's reasoning. Prompts are not a security boundary. **MCP servers and skill registries are supply chain.** The paper treats every tool schema or skill pulled from a registry as untrusted input that needs scanning before use, and calls out registries as an injection vector. **Get credentials out of the agent's hands.** Gateways that inject short-lived credentials at call time remove the standing API keys that make a compromised agent so damaging. **Check behavior, not just permissions.** Comparing an agent's plan with its actual actions, and applying data controls at the moment of use, closes the gap between authorized and safe. **Plan the way back.** Proportional containment plus a documented recovery path makes it realistic to pull the switch without fearing an outage. **Match controls to risk.** Heavy controls on a read-only assistant slow adoption and push people toward shadow AI, which is the problem the paper starts with. ## What the paper doesn't settle yet It is a reference architecture, not a standard. Several key pieces, including task-scoped access, multi-hop delegation and automated recovery, are labeled aspirational. The founding members aren't named in the PDF, and the interoperability results it promises haven't been published yet. Its five example scenarios are composites, not case studies. And it is long on taxonomy and short on concrete policy examples or formats. Read it as a shared vocabulary and a map of the controls to aim for, not as a spec you can certify against today. ## What this means if you use MCP servers and plugins You don't need an enterprise control plane to apply the core ideas. Know which MCP servers and plugins are connected and who owns each one. Prefer OAuth with narrow scopes over personal API keys in config files. Review tool definitions before trusting a server you found in a registry. Require confirmation for write actions, especially when an agent also reads untrusted content like email or web pages. And disconnect what you no longer use. Our [plugin and MCP security checklist](/blog/chatgpt-plugin-security-checklist) covers these steps in detail, and the [MCP directory](/mcp) shows which servers come from the vendor that runs the service. --- Source: https://chatgptplugins.directory/blog/blueprint-alliance-governing-agentic-execution · Index: https://chatgptplugins.directory/llms.txt · Independent and community-run. Not affiliated with or endorsed by OpenAI. ChatGPT is a trademark of OpenAI. # How to set up the Exa MCP server: a hands-on guide > Connect Exa's hosted MCP server to Claude Code, Cursor, VS Code, Codex or ChatGPT, pick an auth mode, enable advanced tools, and debug it with curl. Published: 2026-10-13 · By: Divy Chaurasia · Tags: mcp, developers, web-search To set up the Exa MCP server, point your MCP client at `https://mcp.exa.ai/mcp`. In Claude Code that is one command: `claude mcp add --transport http exa https://mcp.exa.ai/mcp`. No API key is needed to start. You get two read-only tools, `web_search_exa` and `web_fetch_exa`, under free rate limits. Sign in with OAuth (`?login`) or send an `x-api-key` header when you need higher limits or the `agent_run` research tool, and add `?tools=` to opt into `web_search_advanced_exa`. That is the whole happy path. The rest of this guide covers what the docs leave implicit: what the server says on the wire, which auth mode fits which setup, the `?tools=` mistake that silently removes your search tool, how to keep keys out of config files, and how to stop web search from flooding your context window. Everything below was checked against the live server (`exa-search-server` 3.4.2) in October 2026. > **MCP server:** [Exa](https://chatgptplugins.directory/mcp/exa): AI-native web search, page fetching and multi-step research via Exa ## What you get: the four Exa MCP tools Exa runs the server for you. Your client speaks [Streamable HTTP](https://modelcontextprotocol.io/specification/2025-06-18/basic/transports) to a single endpoint, and the server calls Exa's search index, content extraction and agent APIs on your behalf. You don't install or update anything, and one URL works in every client that supports remote MCP. ![Diagram: MCP clients such as Claude Code, Cursor and Codex send JSON-RPC over HTTPS to mcp.exa.ai/mcp, which exposes four tools backed by Exa search, live crawl and the Exa Agent](/blog/how-to-set-up-exa-mcp-server/exa-mcp-architecture.svg "The client talks to one hosted endpoint. Exa handles retrieval, crawling and billing behind it.") | Tool | Enabled | What it does | Key arguments | | --- | --- | --- | --- | | `web_search_exa` | By default | Web search that returns clean text and highlights from the top results | `query`, `objective` (both required), `numResults` (default 10) | | `web_fetch_exa` | By default | Reads one or more known URLs as clean markdown | `urls` (array), `maxCharacters` (default 3000 per page) | | `web_search_advanced_exa` | Opt-in via `?tools=` | Search with filters for domains, dates, text, categories, highlights, summaries and subpages | `includeDomains`, `startPublishedDate`, `maxAgeHours`, `enableHighlights`, `subpages` and about 20 more | | `agent_run` | With OAuth or API key only | Runs the Exa Agent for multi-step research, list-building and structured output | `outputSchema`, `systemPrompt`, `effort`, `previousRunId` | The search and fetch tools are annotated `readOnlyHint: true` and `openWorldHint: true`. They can't change anything, but everything they return comes from the open web. Keep that second hint in mind; it comes up again in the security section. ## Before you start: pick an auth mode All three modes use the same endpoint. The difference is who you are to Exa, which decides your rate limits, who gets billed and whether `agent_run` is available. ![Comparison of Exa MCP keyless, OAuth and API key modes by endpoint, tools, limits, billing and best use](/blog/how-to-set-up-exa-mcp-server/exa-mcp-auth-modes.svg "Start keyless, move to OAuth for daily use, and use an API key where no browser sign-in is possible.") My defaults: - **Keyless** while you check that a client config works. It is the fastest way to rule out auth as the cause of a problem. - **OAuth** for interactive use. Claude Code, Cursor, VS Code and Codex all support MCP OAuth, so no secret is stored on disk and you can revoke access from your Exa account. - **API key** for CI, headless agents, the OpenAI API, and clients that don't support MCP OAuth. Create one at [dashboard.exa.ai/api-keys](https://dashboard.exa.ai/api-keys). New accounts get free credits. ## Step 1: Smoke-test the endpoint with curl Before you touch a client config, confirm you can reach the server and see what it returns. Thirty seconds of curl rules out network, proxy and TLS problems, and it shows you what your client actually does when it connects. ![Sequence diagram of the MCP handshake: initialize returns a session id, notifications/initialized returns 202, tools/list returns the tools, and tools/call returns search results](/blog/how-to-set-up-exa-mcp-server/exa-mcp-handshake.svg "Four POSTs to one URL. Steps 2-4 must echo the Mcp-Session-Id header from step 1.") Open the session. Streamable HTTP requires the `Accept` header to list both JSON and SSE, and the server may answer in either format: ```bash curl -sS -D headers.txt https://mcp.exa.ai/mcp \ -H 'Content-Type: application/json' \ -H 'Accept: application/json, text/event-stream' \ -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-06-18","capabilities":{},"clientInfo":{"name":"curl","version":"1.0"}}}' export SID=$(awk -F': ' 'tolower($1)=="mcp-session-id"{print $2}' headers.txt | tr -d '\r') ``` You should get `200` with `content-type: text/event-stream`, an `mcp-session-id` header and a body like this: ```text event: message data: {"result":{"protocolVersion":"2025-06-18","capabilities":{"tools":{"listChanged":true},...},"serverInfo":{"name":"exa-search-server","title":"Exa","version":"3.4.2",...}},"jsonrpc":"2.0","id":1} ``` Finish the handshake and list the tools: ```bash H=(-H 'Content-Type: application/json' -H 'Accept: application/json, text/event-stream' \ -H "Mcp-Session-Id: $SID" -H 'MCP-Protocol-Version: 2025-06-18') curl -sS https://mcp.exa.ai/mcp "${H[@]}" -o /dev/null -w '%{http_code}\n' \ -d '{"jsonrpc":"2.0","method":"notifications/initialized"}' # 202 curl -sS https://mcp.exa.ai/mcp "${H[@]}" \ -d '{"jsonrpc":"2.0","id":2,"method":"tools/list"}' | sed -n 's/^data: //p' | jq '.result.tools[].name' ``` Keyless, that prints `"web_search_exa"` and `"web_fetch_exa"`. Now run a real search: ```bash curl -sS https://mcp.exa.ai/mcp "${H[@]}" -d '{ "jsonrpc":"2.0","id":3,"method":"tools/call", "params":{"name":"web_search_exa","arguments":{ "query":"specification page for the Model Context Protocol streamable HTTP transport", "objective":"Find the official MCP spec page; modelcontextprotocol.io first", "numResults":2}}}' | sed -n 's/^data: //p' | jq -r '.result.content[0].text' | head -5 ``` The result is plain text, already formatted for a model. Each result is a block of `Title`, `URL`, `Published`, `Author` and `Highlights`: ```text Title: Streamable HTTP - Model Context Protocol URL: https://modelcontextprotocol.io/specification/2026-07-28/basic/transports/streamable-http Published: 2026-07-28T00:00:00.000Z Author: N/A Highlights: ``` If all three calls work, the server is fine. Any later failure is in your client config or your auth. > **Tip:** Prefer a UI? The [MCP Inspector](/tutorials/test-mcp-server-with-inspector) does the same handshake: run `npx @modelcontextprotocol/inspector`, choose Streamable HTTP, and paste the URL. ## Step 2: Connect your client Every client below needs the same URL. What changes is the file location and, frustratingly, the name of the URL key. ### Claude Code ```bash claude mcp add --transport http exa https://mcp.exa.ai/mcp ``` That adds the server to your local scope (this project, only you). Add `--scope user` to make it available in every project, or `--scope project` to write a `.mcp.json` that you can commit for your team. If you also want Exa's bundled `search` and `exa-agent` skills, install the official plugin instead: ```bash claude plugin install exa@claude-plugins-official ``` To sign in, use `https://mcp.exa.ai/mcp?login` as the URL, then run `/mcp` in a session, select **exa** and authenticate in the browser. ### Cursor Install from the Cursor marketplace, or add this to `~/.cursor/mcp.json` (global) or `.cursor/mcp.json` (per project): ```json { "mcpServers": { "exa": { "url": "https://mcp.exa.ai/mcp" } } } ``` ### VS Code VS Code uses `servers`, not `mcpServers`, and needs an explicit `type`. In `.vscode/mcp.json`: ```json { "servers": { "exa": { "type": "http", "url": "https://mcp.exa.ai/mcp" } } } ``` ### Codex ```bash codex mcp add exa --url https://mcp.exa.ai/mcp codex mcp login exa # optional: OAuth in the browser codex mcp list ``` This writes to `~/.codex/config.toml`, which the Codex CLI, IDE extension and app share. In ChatGPT and Codex you can also install the [Exa plugin](https://chatgpt.com/plugins/exa), which bundles the server and both skills with nothing to configure. Start a new session after installing. ### ChatGPT developer mode To add the server by URL in ChatGPT, turn on developer mode, create an app with `https://mcp.exa.ai/mcp`, and choose **OAuth** (or **No Authentication** for keyless). The full walkthrough is in [Add a custom MCP server to ChatGPT](/tutorials/add-mcp-server-to-chatgpt). ### Everything else | Client | Config location | URL key | | --- | --- | --- | | Windsurf | `~/.codeium/windsurf/mcp_config.json`, under `mcpServers` | `serverUrl` | | Gemini CLI | `~/.gemini/settings.json`, under `mcpServers` | `httpUrl` | | Zed | `settings.json`, under `context_servers` | `url` | | OpenCode | `opencode.json`, under `mcp`, with `"type": "remote"` | `url` | | Kiro | `~/.kiro/settings/mcp.json`, under `mcpServers` | `url` | | Claude Desktop | **+** > **Add connector** > search "Exa" | n/a | For a client that only supports local stdio servers, bridge with `mcp-remote`: ```json { "mcpServers": { "exa": { "command": "npx", "args": ["-y", "mcp-remote", "https://mcp.exa.ai/mcp"] } } } ``` There is also a local package, `exa-mcp-server` on npm (MIT, [source on GitHub](https://github.com/exa-labs/exa-mcp-server)). Run it with `npx -y exa-mcp-server` and an `EXA_API_KEY` environment variable. I only use it when a network policy blocks the hosted endpoint or I need to pin a version. Otherwise the hosted server is less to maintain. ## Step 3: Authenticate without leaking your key When OAuth works in your client, use it. When you need an API key, the server accepts it in an `x-api-key` header or as `Authorization: Bearer `. The README also documents an `?exaApiKey=` query parameter. Avoid it: URLs end up in shell history, logs and screenshots far more often than headers do. The bigger risk is committing a key in a config file. Each client has a way to keep the secret in the environment instead. **Claude Code** expands environment variables in `.mcp.json`, so a project-scoped config is safe to commit: ```json { "mcpServers": { "exa": { "type": "http", "url": "https://mcp.exa.ai/mcp", "headers": { "x-api-key": "${EXA_API_KEY}" } } } } ``` **Codex** reads the token from a variable you name and sends it as a Bearer header: ```bash codex mcp add exa --url https://mcp.exa.ai/mcp --bearer-token-env-var EXA_API_KEY ``` **VS Code** can prompt for the key once and store it in its secret storage: ```json { "inputs": [ { "type": "promptString", "id": "exa-key", "description": "Exa API key", "password": true } ], "servers": { "exa": { "type": "http", "url": "https://mcp.exa.ai/mcp", "headers": { "x-api-key": "${input:exa-key}" } } } } ``` **OpenAI Responses API**: pass the key in the `mcp` tool's `authorization` field and allow only the tools you need: ```python import os from openai import OpenAI client = OpenAI() resp = client.responses.create( model="gpt-6-astra", tools=[{ "type": "mcp", "server_label": "exa", "server_url": "https://mcp.exa.ai/mcp", "authorization": os.environ["EXA_API_KEY"], "allowed_tools": ["web_search_exa", "web_fetch_exa"], "require_approval": "never", }], input="What changed in the latest MCP spec revision? Cite sources.", ) print(resp.output_text) ``` `require_approval: "never"` is reasonable here only because both tools are read-only. More on the API side in [Use MCP in the OpenAI API](/tutorials/mcp-in-the-openai-api). ## Step 4: Choose your tools with ?tools= The `tools` query parameter is how you opt into `web_search_advanced_exa` and `agent_run`. It is also where most broken setups come from, because **an explicit list replaces the defaults**. It does not add to them. ![Three tool lists: no parameter gives search and fetch; ?tools=web_search_advanced_exa gives only the advanced tool; listing all three gives all three](/blog/how-to-set-up-exa-mcp-server/exa-mcp-tools-parameter.svg "Name every tool you want, including the defaults.") What you usually want: ```text https://mcp.exa.ai/mcp?tools=web_search_exa,web_fetch_exa,web_search_advanced_exa ``` With OAuth, combine both parameters and add the agent: ```text https://mcp.exa.ai/mcp?login&tools=web_search_exa,web_fetch_exa,web_search_advanced_exa,agent_run ``` Two things to watch: - **`agent_run` without credentials fails the whole connection.** Including it in `?tools=` on a keyless connection doesn't just hide the tool. The server rejects `initialize` with `401 "Authentication required. Use OAuth or provide an API key."` plus a `WWW-Authenticate` header that points to `/.well-known/oauth-protected-resource/mcp`. Clients that support OAuth use that header to start sign-in. Clients that don't just show the server as failed. - **Restart after changing the URL.** Most clients cache the tool list per session. If a new tool doesn't appear, start a fresh session or reconnect from the client's MCP panel. Is the advanced tool worth it? Yes, for coding agents. `includeDomains` restricted to official docs, `startPublishedDate` set to the last release, and `maxAgeHours` for fresh content are the controls that stop an agent from citing a 2023 blog post about an API that has since changed. The trade-off is a larger tool schema (28 parameters) in every request's context, so leave it off in clients where you only ask casual questions. ## Step 5: Get good results from the agent The server works. Whether the model uses it well depends on two things: how it phrases queries, and how much text it pulls back. **Describe the page, not keywords.** The tool's own description tells the model to write something like "blog post comparing React and Vue performance" rather than "React vs Vue". Models mostly follow this. If yours writes keyword soup, put the same instruction in your `CLAUDE.md`, `AGENTS.md` or system prompt. The `objective` argument is required, and it is where the model says which pages should rank first and which facts to extract. Adding `category:company` or `category:people` to the query searches company pages and LinkedIn profiles. **Search wide, fetch narrow.** Search returns highlights, not full pages. That is deliberate, and it is the main reason this server is cheap on context. ![Flow: prompt calls web_search_exa for highlights; if enough, answer with citations; otherwise web_fetch_exa reads the best URLs as markdown before answering](/blog/how-to-set-up-exa-mcp-server/exa-mcp-search-fetch-loop.svg "Highlights answer most questions. Fetch only the two or three pages that matter.") A well-behaved run looks like this in the tool log: ```json { "name": "web_search_exa", "arguments": { "query": "official changelog for Next.js 16 caching APIs", "objective": "Release notes and docs from nextjs.org first; list breaking changes", "numResults": 5 } } { "name": "web_fetch_exa", "arguments": { "urls": ["https://nextjs.org/blog/...", "https://nextjs.org/docs/..."], "maxCharacters": 8000 } } ``` Context use is controlled by two numbers. `numResults` defaults to 10, and five is usually enough for a focused question. `maxCharacters` defaults to 3000 per page, which cuts off long API references, so ask for 8000 to 15000 when you need the whole page. You can steer both in plain language ("fetch the full changelog page") because they are ordinary tool arguments. Prompts that use the tools well: - "Search for the current rate limits in the Stripe API docs, fetch the page, and quote the exact numbers with the URL." - "Using advanced search restricted to `github.com` and published after 2026-06-01, find open-source MCP servers for Postgres. Compare their auth options." - "Run an Exa agent task: build a table of the 10 most-starred Rust web frameworks with license and latest release date." (needs `agent_run`) ## Step 6: Verify it in your client Check that the client is connected before you blame the model for not using the tools: | Client | Check | | --- | --- | | Claude Code | `claude mcp list` should show `exa` as connected. Inside a session, `/mcp` shows status and tools | | Codex | `codex mcp list`; in the TUI, `/mcp` | | Cursor | Cursor Settings, MCP section: `exa` is enabled and lists its tools | | VS Code | Run **MCP: List Servers** from the Command Palette | Then ask something the model can't know from training data, such as "What is the latest stable release of Bun? Search the web and cite the source." You should see a `web_search_exa` call, and the answer should cite the URL. ## Troubleshooting | Symptom | Cause | Fix | | --- | --- | --- | | `429 Too Many Requests` | You hit the free keyless limit | Sign in with `?login` or add an API key, then reconnect | | Server fails with `401 Authentication required` | `agent_run` is in `?tools=` but you sent no credentials | Remove `agent_run`, or authenticate | | `web_search_exa` missing after adding `?tools=` | An explicit list replaces the defaults | List every tool you want | | New tools don't appear | The client cached the old tool list | Restart the session or reconnect the server | | Config ignored or JSON parse error | Trailing comma (the README sample has one), or the wrong URL key for the client | Validate the JSON; use `serverUrl` for Windsurf and `httpUrl` for Gemini CLI | | `406 Not Acceptable: Client must accept both application/json and text/event-stream` | A hand-rolled client or curl sent only one content type | Send `Accept: application/json, text/event-stream` | | OAuth window never opens | The client doesn't support MCP OAuth | Use an `x-api-key` header instead | | Answers cite outdated pages | Default search has no date or domain filters | Enable `web_search_advanced_exa` and ask for `startPublishedDate` or `includeDomains` | ## Security and cost notes - **Treat results as untrusted input.** `openWorldHint: true` means the tool returns content written by strangers, and a page can contain text aimed at your agent. The Exa tools themselves are read-only, so the risk is in what else your agent can do in the same session. Don't let an agent that just read the open web push to `main` or send email without review. Our [MCP security checklist](/blog/chatgpt-plugin-security-checklist) covers this pattern. - **Queries leave your machine.** Search queries and fetched URLs go to Exa. If an agent is working in a private codebase, it can put internal names in a query. Decide whether that is acceptable before you enable the server for a team. - **Keyless is free, `agent_run` is not.** Search and fetch run under the free limits, or your plan's limits when authenticated. `agent_run` always bills to the authenticated team and reports usage in its result. Long runs return `status: "running"` with an `id`, which you pass back as `runId` to resume. - **Scope configs deliberately.** A user-scoped server shows up in every repo. If only one project needs web search, use project scope and commit a `.mcp.json` that reads the key from the environment. ## FAQ ### Is the Exa MCP server free? Yes, to start. The hosted endpoint works without an account under free rate limits, and new Exa accounts get free credits. Higher limits and `agent_run` are billed to your Exa team through OAuth or an API key. ### Do I need an Exa API key? No. Keyless mode needs nothing. Use OAuth for interactive clients, and an API key for CI, the OpenAI API or clients without MCP OAuth support. ### What's the difference between web_search_exa and web_search_advanced_exa? `web_search_exa` takes a natural-language query and an objective and returns highlights, which covers most questions. `web_search_advanced_exa` adds about two dozen controls: domain include and exclude lists, published and crawl date ranges, text filters, categories, summaries, highlight tuning and subpage crawling. It is off by default to keep the tool schema small. ### Can I run the Exa MCP server locally? Yes. Run `npx -y exa-mcp-server` with `EXA_API_KEY` set, as a stdio server. The source is MIT-licensed. For most teams the hosted endpoint is simpler because there is nothing to update. ### How does Exa MCP compare to other search MCP servers? Exa returns highlights and clean page text and supports semantic queries, which suits agents that research before they write code. If you mostly need library documentation, [Context7](/mcp/context7) is more targeted. For crawling whole sites or scraping structured data, look at [Firecrawl](/mcp/firecrawl). [Tavily](/mcp/tavily) is the closest general-purpose alternative. Our [MCP directory](/mcp) lists the rest. ## Listings in this post - [Exa](https://chatgptplugins.directory/mcp/exa.md): AI-native web search, page fetching and multi-step research via Exa - [Context7](https://chatgptplugins.directory/mcp/context7.md): Pull up-to-date, version-specific library docs into your coding agent - [Tavily](https://chatgptplugins.directory/mcp/tavily.md): Real-time web search, extraction, site mapping and crawling for agents - [Firecrawl](https://chatgptplugins.directory/mcp/firecrawl.md): Scrape, search, crawl and interact with live web pages for LLMs --- Source: https://chatgptplugins.directory/blog/how-to-set-up-exa-mcp-server · Index: https://chatgptplugins.directory/llms.txt · Independent and community-run. Not affiliated with or endorsed by OpenAI. ChatGPT is a trademark of OpenAI. # The best ChatGPT plugins for everyday work and life (October 2026) > 12 ChatGPT plugins and apps for email, calendars, documents, PDFs, design, travel, dining, groceries, music, home search and learning, and what each one does. Published: 2026-10-04 · By: Divy Chaurasia · Tags: roundup, productivity For everyday work, the most useful ChatGPT plugins are **Gmail**, **Google Calendar**, **Notion** and **Adobe Acrobat** for email, scheduling, notes and PDFs, and **Canva** for quick design. Outside work, **Expedia** and **Booking.com** cover trips, **OpenTable** and **Instacart** cover food, **Spotify** handles music, **Zillow** helps with home searches and **Coursera** with learning. Each one installs from the Plugins tab in ChatGPT, connects your account if needed, and then works from a normal chat message. Here is what each one does well, and where its limits are. ## How to use these 1. Open the **Plugins** tab in ChatGPT on the web, desktop or mobile, search for the name, and select the plus button. 2. Connect your account when asked. Some plugins ask at install, others the first time you use them. 3. In a new chat, ask for what you want ("find a free hour with Sam next week"), or type `@` and pick the plugin to call it directly. Full walkthrough: [How to install plugins in ChatGPT](/tutorials/install-plugins-in-chatgpt). Availability depends on your plan, region and, for work accounts, your admin's settings, so a plugin listed here may not appear for everyone. ## The list at a glance | Pick | Category | Use it to | Try asking | | --- | --- | --- | --- | | Gmail | Email | Summarize threads, draft replies | "Summarize unread threads from today" | | Google Calendar | Scheduling | Check availability, create and update events | "Brief me on my next meeting" | | Notion | Notes and docs | Search pages, create docs and databases | "Find our latest pricing decision" | | Adobe Acrobat | PDFs | Merge, split, convert, redact, OCR | "Combine these reports into one PDF" | | Canva | Design | Decks, social posts, resizing | "Resize this poster for Instagram" | | Expedia | Travel | Compare flights and hotels | "Family-friendly resorts in Cancun" | | Booking.com | Travel | Find stays, cars and attractions | "Things to do in Amsterdam" | | OpenTable | Dining | Find restaurant tables | "Tables for two tonight near me" | | Instacart | Groceries | Turn meal plans into a cart | "Ingredients for three weeknight dinners" | | Spotify | Music | Playlists, podcasts, audiobooks | "A playlist for a rainy Sunday" | | Zillow | Home search | Browse homes for sale | "3-bedroom homes in Denver" | | Coursera | Learning | Find courses and practise skills | "A beginner course on data analysis" | ## Work ### 1. Gmail OpenAI's Gmail plugin summarizes your inbox, drafts replies and helps process threads. Good prompts: "Summarize unread threads from today" or "Draft a polite, firm reply to the latest email from finance." ChatGPT prepares drafts; review anything before it is sent. > **plugin:** [Gmail](https://chatgptplugins.directory/plugins/gmail): Read and manage Gmail ### 2. Google Calendar Also built by OpenAI, the Google Calendar plugin checks availability, briefs you on upcoming meetings and can create, update or delete events. Try "Find a free 30-minute slot with Sam next week" or "Build a realistic plan for tomorrow around my meetings." Pair it with Gmail for scheduling that starts in an email thread. > **plugin:** [Google Calendar](https://chatgptplugins.directory/plugins/google-calendar): Manage Google Calendar events ### 3. Notion Notion's app searches and references your pages and can create docs, tasks and databases. Ask "Find the latest decision on pricing for this project, with page links," or have it set up a roadmap database. The [Notion plugin](/plugins/notion) adds skills for meeting prep, research documentation and turning specs into tasks, if you want ChatGPT to follow a consistent process. > **app:** [Notion](https://chatgptplugins.directory/apps/notion): Search, create and update Notion pages and databases ### 4. Adobe Acrobat Adobe Acrobat for ChatGPT edits, reorders, rotates, splits and merges PDF pages, converts PDFs to other formats, redacts sensitive details, runs OCR on scans and compresses files. "Combine these reports into one PDF" and "Redact the account numbers in this statement" are typical uses. Check redactions in the final file before you share it. > **app:** [Adobe Acrobat](https://chatgptplugins.directory/apps/adobe-acrobat): Edit, merge, convert and organize PDFs ### 5. Canva Canva turns a brief, outline or notes into presentations, docs, posters, social posts and resumes, and can resize designs for different platforms or give design feedback. At DevDay 2026, Canva was one of the first plugins to use OpenAI's new sidebar extensions ([what that means](/blog/devday-2026-what-it-means-for-plugin-builders)). If you prefer Adobe's tools, [Adobe Express](/apps/adobe-express) covers similar templates. > **app:** [Canva](https://chatgptplugins.directory/apps/canva): Create, resize, edit and review Canva designs from a chat ## Travel ### 6. Expedia Expedia searches flights and hotels in plain language and shows real-time prices, availability and photos in the chat. You can compare options, see hotels on a map and link your Expedia account for member deals, then finish booking on Expedia. Expedia was a launch partner for both the original 2023 plugins and the 2025 apps ([history](/blog/what-happened-to-chatgpt-plugins)). > **app:** [Expedia](https://chatgptplugins.directory/apps/expedia): Search and compare flights and hotels with real-time prices ### 7. Booking.com Booking.com's app explores hotels, homes, rental cars and attractions. Results link out to Booking.com to complete the booking. It is handy for "car rental in Amsterdam Oost" or "things to do near my hotel." For flight-only comparisons, [Skyscanner](/apps/skyscanner) searches across airlines and travel providers. > **app:** [Booking.com](https://chatgptplugins.directory/apps/booking-com): Find stays, rental cars and attractions for your next trip ## Food and errands ### 8. OpenTable OpenTable's app finds restaurant availability from inside ChatGPT: "What's available near me tonight for four?" or "Italian place Saturday at 7pm." In Europe, [TheFork](/apps/thefork) does the same job. > **app:** [OpenTable](https://chatgptplugins.directory/apps/opentable): Find and reserve restaurant tables ### 9. Instacart Instacart's app goes from meal ideas to a grocery cart: "Plan three weeknight dinners and add the ingredients to my cart." It launched in December 2025 as the first app with Instant Checkout in ChatGPT; checkout details may have changed since, so check the final step in the app. [DoorDash](/apps/doordash) offers a similar recipe-to-cart flow. > **app:** [Instacart](https://chatgptplugins.directory/apps/instacart): Plan meals and shop groceries end to end inside ChatGPT ## Music, home and learning ### 10. Spotify Spotify's app finds songs, artists, playlists, podcasts and audiobooks and opens them in Spotify. Premium listeners can describe a mood and get a matching playlist, and recommendations can draw on your listening history. Prefer Apple's service? [Apple Music](/apps/apple-music) builds playlists too. > **app:** [Spotify](https://chatgptplugins.directory/apps/spotify): Find music, podcasts and audiobooks and build playlists inside ChatGPT ### 11. Zillow Zillow shows homes for sale with photos, maps, prices and broker details in the conversation, from questions like "3-bedroom homes under $600k in Denver with a big backyard." It was the first real estate app in ChatGPT and launched for logged-in U.S. users. [Redfin](/apps/redfin) is an alternative. > **app:** [Zillow](https://chatgptplugins.directory/apps/zillow): Search homes for sale with listings, photos and maps in chat ### 12. Coursera Coursera Learning finds courses, videos and guided projects, explains concepts in interactive sessions and lets you practise skills: "Find a beginner course on data analysis," then "Quiz me on what I just learned." For flashcards, see [Quizlet](/apps/quizlet). > **app:** [Coursera Learning](https://chatgptplugins.directory/apps/coursera): Discover courses and videos and practice skills interactively ## A few habits that help - **Name the plugin when it matters.** If you have both Expedia and Booking.com installed, say which one you want, or use `@`. - **Keep confirmations on.** Some of these can send, create, change or delete things in your accounts. Since June 2026 you can choose when connected apps ask for permission: always, before making changes, or only before important changes ([OpenAI changelog](https://developers.openai.com/plugins/changelog)). For email and calendars, "before making changes" is a sensible minimum. - **Connect only what you use.** Every connection gives a third-party service some access to your data. Disconnect what you stop using. Our [security checklist](/blog/chatgpt-plugin-security-checklist) explains what to look at before you connect. - **Bookings usually finish on the partner's site.** Several travel apps link out to complete the purchase, so the partner's terms and prices apply. Looking for coding tools instead? See [The best ChatGPT plugins for developers](/blog/best-chatgpt-plugins-for-developers). Browse everything at [/apps](/apps) and [/plugins](/plugins). ## Listings in this post - [Gmail](https://chatgptplugins.directory/plugins/gmail.md): Read and manage Gmail - [Google Calendar](https://chatgptplugins.directory/plugins/google-calendar.md): Manage Google Calendar events - [Notion](https://chatgptplugins.directory/apps/notion.md): Search, create and update Notion pages and databases - [Adobe Acrobat](https://chatgptplugins.directory/apps/adobe-acrobat.md): Edit, merge, convert and organize PDFs - [Canva](https://chatgptplugins.directory/apps/canva.md): Create, resize, edit and review Canva designs from a chat - [Expedia](https://chatgptplugins.directory/apps/expedia.md): Search and compare flights and hotels with real-time prices - [Booking.com](https://chatgptplugins.directory/apps/booking-com.md): Find stays, rental cars and attractions for your next trip - [OpenTable](https://chatgptplugins.directory/apps/opentable.md): Find and reserve restaurant tables - [Instacart](https://chatgptplugins.directory/apps/instacart.md): Plan meals and shop groceries end to end inside ChatGPT - [Spotify](https://chatgptplugins.directory/apps/spotify.md): Find music, podcasts and audiobooks and build playlists inside ChatGPT - [Zillow](https://chatgptplugins.directory/apps/zillow.md): Search homes for sale with listings, photos and maps in chat - [Coursera Learning](https://chatgptplugins.directory/apps/coursera.md): Discover courses and videos and practice skills interactively --- Source: https://chatgptplugins.directory/blog/best-chatgpt-plugins-for-everyday-work · Index: https://chatgptplugins.directory/llms.txt · Independent and community-run. Not affiliated with or endorsed by OpenAI. ChatGPT is a trademark of OpenAI. # Build your first ChatGPT app with an MCP server and a UI widget > Build a minimal ChatGPT app in TypeScript: an MCP server with one tool and an MCP Apps widget, tested in MCP Inspector and connected through developer mode. Published: 2026-10-04 · By: Divy Chaurasia · Level: intermediate · Time: 45 min · Tags: apps-sdk, mcp, typescript A ChatGPT app is an MCP server. It exposes tools the model can call and, optionally, a small web UI that ChatGPT renders inline when a tool runs. ChatGPT implements the open **MCP Apps** UI standard, so the same widget can also run in other hosts that support it. OpenAI's Apps SDK documentation now lives under the Plugins docs at `developers.openai.com/plugins`, because apps are distributed inside [plugins](/plugins). In this tutorial you'll build a dice roller: one `roll_dice` tool, plus a widget that draws the dice. Then you'll test it locally, put it on a public URL, and use it in ChatGPT. ## Before you start - **Node.js 20 or newer** (the MCP Inspector CLI used later needs 22.19 or newer). - **A ChatGPT plan with developer mode**: Plus, Pro, Business, Enterprise or Education, on the web. - **A tunnel tool**: [ngrok](https://ngrok.com) or Cloudflare's `cloudflared`. ## 1. Set up the project ```bash mkdir dice-app && cd dice-app npm init -y npm pkg set type=module npm install @modelcontextprotocol/sdk@^1.29.0 @modelcontextprotocol/ext-apps@^1.7.5 zod@^3.25.76 npm install -D tsx typescript @types/node mkdir public ``` Three packages do the work: - `@modelcontextprotocol/sdk`: the official TypeScript MCP SDK (`McpServer`, transports). - `@modelcontextprotocol/ext-apps`: MCP Apps helpers. Its `/server` entry point provides `registerAppResource`, `registerAppTool` and the `RESOURCE_MIME_TYPE` constant. - `zod`: input and output schemas. > **Note:** The versions are pinned on purpose. `ext-apps` 2.x targets the new split MCP SDK v2 packages (`@modelcontextprotocol/server` and friends), while OpenAI's quickstart uses `@modelcontextprotocol/sdk` 1.x with `ext-apps` 1.x. The code below is for the 1.x pair. The wire protocol is the same in both, so ChatGPT doesn't care which you use. ## 2. Write the widget The widget is a single HTML file. ChatGPT loads it in a sandboxed iframe and talks to it with JSON-RPC messages over `postMessage`. The widget sends `ui/initialize`, confirms with `ui/notifications/initialized`, and then receives `ui/notifications/tool-result` each time the model calls the tool. Create `public/dice-widget.html`: ```html
Waiting for a roll…
``` The widget only reads `structuredContent`. That is the machine-readable half of a tool result; the `content` text is what the model reads. ## 3. Write the MCP server Create `server.ts`: ```typescript import { createServer } from "node:http"; import { readFileSync } from "node:fs"; import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js"; import { StreamableHTTPServerTransport } from "@modelcontextprotocol/sdk/server/streamableHttp.js"; import { registerAppResource, registerAppTool, RESOURCE_MIME_TYPE, } from "@modelcontextprotocol/ext-apps/server"; import { z } from "zod"; const WIDGET_URI = "ui://widget/dice.html"; const widgetHtml = readFileSync("public/dice-widget.html", "utf8"); function createDiceServer() { const server = new McpServer({ name: "dice-roller", version: "0.1.0" }); // 1. The UI resource ChatGPT renders in an iframe. registerAppResource(server, "dice-widget", WIDGET_URI, {}, async () => ({ contents: [{ uri: WIDGET_URI, mimeType: RESOURCE_MIME_TYPE, text: widgetHtml }], })); // 2. A tool linked to that UI through _meta.ui.resourceUri. registerAppTool( server, "roll_dice", { title: "Roll dice", description: "Use this when the user wants to roll one or more dice, e.g. 2d6.", inputSchema: { count: z.number().int().min(1).max(10).describe("Number of dice"), sides: z.number().int().min(2).max(100).describe("Sides per die"), }, outputSchema: { rolls: z.array(z.number()), total: z.number(), }, annotations: { readOnlyHint: true }, _meta: { ui: { resourceUri: WIDGET_URI } }, }, async ({ count, sides }) => { const rolls = Array.from({ length: count }, () => 1 + Math.floor(Math.random() * sides)); const total = rolls.reduce((a, b) => a + b, 0); return { content: [{ type: "text", text: `Rolled ${count}d${sides}: ${rolls.join(", ")} (total ${total})` }], structuredContent: { rolls, total }, }; } ); return server; } const port = Number(process.env.PORT ?? 8787); createServer(async (req, res) => { const url = new URL(req.url ?? "/", `http://${req.headers.host ?? "localhost"}`); // Health check on "/", 404 for everything else (including OAuth discovery // routes you don't use yet), so ChatGPT doesn't surface 502 errors. if (url.pathname !== "/mcp") { res.writeHead(url.pathname === "/" ? 200 : 404).end(url.pathname === "/" ? "ok" : "Not Found"); return; } if (req.method === "OPTIONS") { res.writeHead(204, { "Access-Control-Allow-Origin": "*", "Access-Control-Allow-Methods": "POST, GET, DELETE, OPTIONS", "Access-Control-Allow-Headers": "content-type, mcp-session-id, mcp-protocol-version", "Access-Control-Expose-Headers": "Mcp-Session-Id", }).end(); return; } res.setHeader("Access-Control-Allow-Origin", "*"); res.setHeader("Access-Control-Expose-Headers", "Mcp-Session-Id"); // Stateless mode: a fresh server and transport per request. const server = createDiceServer(); const transport = new StreamableHTTPServerTransport({ sessionIdGenerator: undefined, enableJsonResponse: true, }); res.on("close", () => { transport.close(); server.close(); }); try { await server.connect(transport); await transport.handleRequest(req, res); } catch (err) { console.error("MCP request failed:", err); if (!res.headersSent) res.writeHead(500).end("Internal server error"); } }).listen(port, () => console.log(`Dice MCP server on http://localhost:${port}/mcp`)); ``` What matters here: - **`registerAppResource`** serves the HTML at a `ui://` URI with the MCP Apps MIME type (`text/html;profile=mcp-app`). - **`registerAppTool`** registers a normal MCP tool and adds `_meta.ui.resourceUri`, which tells ChatGPT which widget to render for its results. - **`readOnlyHint: true`** marks the tool as read-only, so ChatGPT won't ask for confirmation each time. Only set it on tools that change nothing. - **Stateless transport**: `sessionIdGenerator: undefined` means no session state between requests, which keeps the server simple to deploy. ## 4. Run it and test with MCP Inspector Start the server: ```bash npx tsx server.ts # Dice MCP server on http://localhost:8787/mcp ``` In a second terminal, open the Inspector web UI: ```bash npx @modelcontextprotocol/inspector@latest ``` Choose **Streamable HTTP**, enter `http://localhost:8787/mcp`, and connect. List the tools, call `roll_dice` with `count: 2, sides: 6`, and check that the result has both `content` and `structuredContent`. For a quick check from the shell, use the Inspector CLI: ```bash npx @modelcontextprotocol/inspector --cli --transport http \ --server-url http://localhost:8787/mcp \ --method tools/call --tool-name roll_dice \ --tool-args-json '{"count":2,"sides":6}' --format json ``` The output includes an `appInfo` object with `"hasApp": true` and your `resourceUri`, which confirms the widget is wired to the tool. More checks are in [Test and debug an MCP server](/tutorials/test-mcp-server-with-inspector). ## 5. Put it on a public URL ChatGPT can't reach `localhost`. Open a tunnel to port 8787: ```bash ngrok http 8787 # or cloudflared tunnel --url http://localhost:8787 ``` Copy the HTTPS URL it prints and add `/mcp`, for example `https://abc123.ngrok.app/mcp`. Tunnels are fine for development. A public plugin needs a stable HTTPS deployment. ## 6. Connect it in ChatGPT 1. In ChatGPT, open **Settings** > **Security and login** and turn on **Developer mode**. 2. Go to `chatgpt.com/plugins` and select the plus button. 3. Paste your tunnel URL with `/mcp`, give it a name ("Dice roller") and a short description, choose **No Authentication**, and select **Create**. 4. Open a new chat, select the plugin from the plus menu (under **More** or **Developer mode**, depending on your rollout), and ask: "Roll 3d6." You should see the tool call (expand it to view the JSON) and, below it, the widget showing three dice and the total. The full walkthrough of developer mode is in [How to add a custom MCP server to ChatGPT](/tutorials/add-mcp-server-to-chatgpt). ## 7. Iterate - **Refresh after changes.** When you change tools, descriptions or the widget, restart the server, open the plugin at `chatgpt.com/plugins`, select **Refresh**, and start a new chat. - **Version the widget URI** (for example `ui://widget/dice-v2.html`) when you make changes that could break a cached copy. - **Declare external domains.** If the widget calls APIs or loads scripts, styles or images from other origins, list them in the resource's `_meta.ui.csp` (`connectDomains` for API requests, `resourceDomains` for assets). Plugin review checks this policy against what the widget actually loads. - **Keep tools useful without UI.** The model should be able to finish the task from `content` alone. - **ChatGPT-only features** such as checkout, file upload, modals and widget state are available through `window.openai`. Add them after the standard MCP Apps flow works. ## Troubleshooting | Problem | Fix | | --- | --- | | `ERR_REQUIRE_ESM` or import errors | Make sure `"type": "module"` is in `package.json`. | | Tool works but no widget appears | Check `_meta.ui.resourceUri` matches the resource URI exactly, and that the resource uses `RESOURCE_MIME_TYPE`. | | Widget shows "Waiting for a roll…" forever | The bridge didn't initialize. Open the browser console on the chat page and look for errors from the iframe. | | Changes don't show up | Select **Refresh** on the plugin page and open a new chat. | | Peer dependency errors on install | You installed `ext-apps` 2.x with `sdk` 1.x. Use the pinned versions above. | > **app:** [MCP App Basics (Apps SDK example)](https://chatgptplugins.directory/apps/apps-sdk-mcp-app-basics): Eleven interactive widgets that each teach one MCP Apps API ## Next steps - Study OpenAI's example apps, including Pizzaz (lists, carousels, maps), in the `openai/openai-apps-sdk-examples` repository. - Add OAuth when your tools need user accounts (see OpenAI's auth guide under `developers.openai.com/plugins/build/auth`). - Package and submit it with [Publish a ChatGPT plugin](/tutorials/publish-a-chatgpt-plugin). - See what others have shipped in the [apps directory](/apps). > **app:** [Pizzaz (Apps SDK example)](https://chatgptplugins.directory/apps/apps-sdk-pizzaz): Pizza-themed demo of list, carousel, map and checkout widgets If you build with Codex, the OpenAI Developers plugin (built by OpenAI) bundles skills for building and submitting ChatGPT apps: > **plugin:** [OpenAI Developers](https://chatgptplugins.directory/plugins/openai-developers): Develop AI apps, agents, and ChatGPT Apps with OpenAI best practices ## Listings in this tutorial - [MCP App Basics (Apps SDK example)](https://chatgptplugins.directory/apps/apps-sdk-mcp-app-basics.md): Eleven interactive widgets that each teach one MCP Apps API - [Pizzaz (Apps SDK example)](https://chatgptplugins.directory/apps/apps-sdk-pizzaz.md): Pizza-themed demo of list, carousel, map and checkout widgets - [OpenAI Developers](https://chatgptplugins.directory/plugins/openai-developers.md): Develop AI apps, agents, and ChatGPT Apps with OpenAI best practices --- Source: https://chatgptplugins.directory/tutorials/build-your-first-chatgpt-app · Index: https://chatgptplugins.directory/llms.txt · Independent and community-run. Not affiliated with or endorsed by OpenAI. ChatGPT is a trademark of OpenAI. # How to add a custom MCP server to ChatGPT with developer mode > Connect your own remote MCP server to ChatGPT using developer mode: requirements, auth options, step-by-step setup, refreshing tools and fixing common errors. Published: 2026-10-04 · By: Divy Chaurasia · Level: intermediate · Time: 15 min · Tags: mcp, developer-mode, chatgpt The [Plugin Directory](/plugins) only lists reviewed plugins. To use any other MCP server in ChatGPT (your company's internal server, a server you are building, or a public one that isn't listed), turn on **developer mode**. It gives ChatGPT full MCP client support, including tools that write data, and lets you add a server by URL. OpenAI labels developer mode as elevated risk. Read the safety section at the end before connecting anything you didn't build yourself. ## Before you start You need: - **An eligible account.** Developer mode is available to Plus, Pro, Business, Enterprise and Education accounts, on the web. Workspace policy can turn it off. - **A remote server.** ChatGPT connects over the network, so the server needs a public HTTPS URL. A server that only runs as a local command (stdio) won't work directly. Put it behind an HTTP endpoint, a development tunnel, or OpenAI's Secure MCP Tunnel. - **A supported transport.** Streamable HTTP or SSE. Streamable HTTP is the current standard; SSE is deprecated by the MCP project. - **The full endpoint URL**, including its path. Most servers use `/mcp`, for example `https://mcp.example.com/mcp`. - **The server's auth method.** ChatGPT supports **OAuth**, **No Authentication** and **Mixed** (described below). > **Tip:** Building a server on your laptop? Expose it with `ngrok http 8787` or `cloudflared tunnel --url http://localhost:8787` and use the HTTPS URL it prints. See [Test and debug an MCP server](/tutorials/test-mcp-server-with-inspector). ## 1. Turn on developer mode 1. Open [ChatGPT](https://chatgpt.com) on the web. 2. Go to **Settings** > **Security and login**. 3. Turn on **Developer mode**. If the toggle is missing, your plan doesn't include it or your workspace admin has disabled it. ## 2. Create the connection 1. Go to `chatgpt.com/plugins` and select the plus button. With developer mode on, this creates a developer-mode app for an MCP server. 2. Enter a name and a short description. The model reads these, so make them describe what the server does. 3. Under **Connection**, choose how ChatGPT reaches the server: - For a public endpoint, enter the server URL, including the `/mcp` path. - For a private server behind Secure MCP Tunnel, select **Tunnel**, then pick a tunnel or enter its `tunnel_id`. 4. Choose the authentication mode. 5. Select **Create**. 6. Check the tools and metadata ChatGPT discovered. If the list is empty or wrong, fix the server before going further. New connections appear under **Drafts** in your plugin settings. ### Picking an auth mode - **No Authentication**: for public, read-only servers. Fine for testing. - **OAuth**: the usual choice for hosted servers with user accounts. If you enter static client credentials, ChatGPT uses them. Otherwise it can use Client ID Metadata Documents (CIMD) when the authorization server advertises support, or Dynamic Client Registration (DCR) when configured. - **Mixed**: initialization and tool listing happen without auth, then each tool uses OAuth or no auth based on the security schemes in its metadata. Use it when some tools are public and others need a login. ## 3. Test with a server that needs no login Before debugging your own server, confirm the flow works with a known public one. DeepWiki answers questions about public GitHub repositories and needs no auth. Use `https://mcp.deepwiki.com/mcp` with **No Authentication**. > **MCP server:** [DeepWiki](https://chatgptplugins.directory/mcp/deepwiki): Ask questions about any public GitHub repo using DeepWiki's generated docs OpenAI's own quickstart uses a demo server that exposes a single read-only `roll_dice` tool: `https://tinymcp.dev/api/moldy-aloof-zettabyte/mcp`. ## 4. Use the server in a chat 1. Start a new conversation. 2. Open the plus menu in the message box, choose **Developer mode**, and select your server. (OpenAI's guides also show it under **+** > **More**, and in a **Work** chat you can type `@` and pick it. The menu layout varies between rollouts.) 3. Ask for something the server can do. Be explicit while you're testing. The model has to choose between your tools and ChatGPT's built-in ones: ```text Use the "Acme CRM" app's "update_record" tool to set the status of record 4411 to "closed". Do not use browsing or any other tools. ``` Other prompting tips from OpenAI's docs: name the tool and the input shape, tell the model which tool to prefer when two overlap, and spell out the order of calls when a workflow needs several. ## 5. Review and confirm tool calls Every tool call in the chat can be expanded with the caret to show the full JSON input and output. Use it to check that the model sent what you expected. - **Write actions need confirmation by default.** ChatGPT treats any tool without the `readOnlyHint` annotation as a write. Read the input before approving: a wrong write can destroy, change or share data. - **"Remember" applies to one conversation.** You can remember an approve or deny choice for a tool for the rest of that chat. New conversations ask again. Only remember approvals for servers you fully trust. ## 6. Manage and refresh tools Each connection has a details page in your plugin settings. From there you can: - Toggle individual tools on or off. - Select **Refresh** to pull new tools, descriptions and server instructions. After changing the server's tools, descriptions, schemas, annotations, auth or UI resources: 1. Deploy or restart the server. 2. Open the connection at `chatgpt.com/plugins` and select **Refresh**. 3. Confirm the metadata changed. 4. Start a new chat. Old chats keep the tool list they started with. ## Business, Enterprise and Edu workspaces In a company workspace an admin usually has to allow custom MCP connectors before members see the toggle. The Help Center describes this under **Workspace settings** > **Permissions & Roles** > **Connected Data** (look for developer mode or custom MCP connectors). Labels change between releases, so ask your admin if you can't find it. Members can test servers in developer mode; publishing a plugin to the whole workspace is an admin action. ## Troubleshooting | Symptom | Likely cause and fix | | --- | --- | | "Couldn't connect" on create | URL is missing `/mcp`, isn't HTTPS, or the tunnel has stopped. Test the same URL with [MCP Inspector](/tutorials/test-mcp-server-with-inspector). | | 502 or OAuth errors on a server with no auth | Your server answers OAuth discovery routes with an error page. Return `404` for `/.well-known/...` paths you don't use. | | OAuth loop or "invalid redirect" | The redirect URI registered with your identity provider doesn't match the one shown on the connection's page. Copy it exactly. | | Tools list is empty | `tools/list` failed or returned invalid JSON Schema. Check server logs. | | New tool doesn't appear | Select **Refresh**, then start a new chat. | | Every call asks for approval | The tool lacks `readOnlyHint: true`. Add it only if the tool really changes nothing. | | Model ignores your server | Make tool descriptions start with "Use this when…", and name the tool in your prompt. | | Private server unreachable | Check the tunnel's workspace association and that `tunnel-client` is running. | ## Safety checklist > **Warning:** A connected server can read whatever the model sends it, and its tool descriptions and results go straight into the model's context. A malicious or compromised server can try to inject instructions or pull data out of your chat. - Prefer official servers run by the service itself, such as Linear's at `https://mcp.linear.app/mcp` or GitHub's, over third-party proxies. - Keep write confirmations on until you trust the server. - Don't paste secrets into chats that have untrusted servers attached. - Turn off tools you don't need on the connection's details page. - Remove connections you've stopped using. > **MCP server:** [Linear](https://chatgptplugins.directory/mcp/linear): Find, create and update Linear issues, projects and comments ## Next steps - Browse remote servers worth connecting in the [MCP directory](/mcp). - Build your own with [Build your first ChatGPT app](/tutorials/build-your-first-chatgpt-app). - Call the same servers from code with [Use remote MCP servers in the OpenAI API](/tutorials/mcp-in-the-openai-api). > **MCP server:** [GitHub](https://chatgptplugins.directory/mcp/github): Manage repos, issues, pull requests and Actions from your AI agent ## Listings in this tutorial - [DeepWiki](https://chatgptplugins.directory/mcp/deepwiki.md): Ask questions about any public GitHub repo using DeepWiki's generated docs - [Linear](https://chatgptplugins.directory/mcp/linear.md): Find, create and update Linear issues, projects and comments - [GitHub](https://chatgptplugins.directory/mcp/github.md): Manage repos, issues, pull requests and Actions from your AI agent --- Source: https://chatgptplugins.directory/tutorials/add-mcp-server-to-chatgpt · Index: https://chatgptplugins.directory/llms.txt · Independent and community-run. Not affiliated with or endorsed by OpenAI. ChatGPT is a trademark of OpenAI. # How to install, use and remove plugins in ChatGPT > Find plugins in ChatGPT's Plugin Directory, connect your accounts, call them with @ in a chat, and disconnect or uninstall them on web, desktop and mobile. Published: 2026-10-04 · By: Divy Chaurasia · Level: beginner · Time: 10 min · Tags: plugins, chatgpt, getting-started Plugins add skills and connections to other services (Google Drive, Slack, GitHub and many more) to ChatGPT. On July 9, 2026, OpenAI moved the old App Directory into the **Plugin Directory**. Apps still exist: they are the integrations that connect ChatGPT to outside data and actions. A plugin packages one or more apps, skills and app templates into something you install in one step. App connections you set up before the move keep working. This guide covers finding a plugin, connecting it, using it in a chat, and removing it again. ## Before you start - **Plan.** The directory is available on every ChatGPT plan, but what you see can vary by rollout, surface and account. Whether you can install a particular plugin depends on your plan, workspace, role, region and what the plugin contains. If a plugin from our [plugins directory](/plugins) doesn't show up for you, that is usually why. - **Where plugins work.** Chat and Work in ChatGPT on the web, desktop and mobile, plus Codex in the ChatGPT desktop app. ChatGPT and Codex share one directory, so a public plugin you find in one is also listed in the other. - **Desktop only.** Some plugins are labelled **Desktop only**. You can find them on the web, but you install and use them in the ChatGPT desktop app. They aren't available on mobile. - **An account with the service.** Most plugins connect to an outside account. Have your login ready, and in a company workspace, check that your admin allows the plugin. ## 1. Open the Plugin Directory On the web or in the desktop app, open the **Plugins** tab (or go to `chatgpt.com/plugins`). The directory is split into tabs: - **OpenAI**: plugins built by OpenAI. - **Your workspace name**: plugins your company provides (Business, Enterprise and Edu workspaces). - **Personal**: plugins from your personal marketplace, including **Created by me** and **Shared with me** when you have any. A separate **Installed** row lists what you already have. Use search or browse, then open a plugin to read its details: what it does, which service it connects to, and who publishes it. ## 2. Install the plugin 1. Open the plugin's detail page. 2. Select the plus button to install it. 3. If the plugin needs a connection to an outside service, connect when prompted. Some plugins ask you to sign in during install. Others wait until the first time you use them. 4. Start a **new** chat. Skills and tools from a plugin only appear in chats started after you install it. > **plugin:** [Google Drive](https://chatgptplugins.directory/plugins/google-drive): Drive, Docs, Sheets or Slides ### Sign in with ChatGPT Some partners (including Airtable, GitLab, HubSpot, Notion, Supabase and Vercel) offer **Sign in with ChatGPT**, which is rolling out in beta. Choosing it creates or links your account with that service and shares only your name, email address and profile picture, when available. It does not give the plugin access to your data. You still review and approve the plugin's requested permissions as a separate step. ## 3. Check permissions before you connect When a plugin connects to a service, read the consent screen from that service carefully: - **Which account.** A personal connection uses your own account. In a workspace, a plugin may reuse a shared account that an admin connected, so check which identity the connection will act as. - **What it can do.** Look at whether it asks for read access only, or also for permission to send, edit or delete. - **Whose terms apply.** When ChatGPT sends data through a connected service, that service's terms and privacy policy apply. > **Tip:** If a plugin asks for more access than the task needs, don't connect it. You can always install it later. ## 4. Use a plugin in a chat There are two ways to use an installed plugin. **Describe the task.** Ask for the outcome, for example "Summarize unread Gmail threads from today" or "Pull the latest launch notes from Google Drive". ChatGPT picks from your installed plugins. **Pick it explicitly.** Type `@` in the message box and choose the plugin, or one of the skills it bundles. Do this when several plugins could handle the request, or when you want a specific workflow. ```text @Slack summarize what happened in #launch since Monday and list open questions ``` > **plugin:** [Slack](https://chatgptplugins.directory/plugins/slack): Read and manage Slack If ChatGPT doesn't use the plugin you expected, name it with `@` and say what you want done. Some plugins only show their tools after you finish connecting the account, so check the plugin's detail page for a pending sign-in. ## 5. Desktop and mobile - **Desktop app.** Works like the web, and is the only place to install and run plugins marked **Desktop only**. In the desktop app, installed plugins also work in Codex. - **Mobile.** You can use the plugins available to your account in Chat or Work. Desktop-only plugins don't appear. If you don't see an install option on mobile, install the plugin from the web or desktop app, then use it from your phone. ## 6. Disconnect or uninstall There are two separate actions, and they do different things. **Disconnect an account** to stop a plugin acting through it: 1. Open **Settings**, then **Apps** or **Plugins** (the label depends on your rollout). 2. Select the plugin or app. 3. Select **Disconnect**. Other accounts, and connections an admin manages for the workspace, can stay active. Disconnecting the last account may also remove some related plugins from your installed list. **Uninstall the plugin** to remove the bundle itself: open it from the Plugin Directory and select **Uninstall plugin**. Read the warning first, because uninstalling can disconnect every account connected through that plugin. Plugins installed by your workspace, or installed by default, may not offer this option. Your admin controls those. > **Note:** Neither action deletes your existing conversations, saved files or memories. Review those separately, along with the account controls on the service's own site. ## Notes for workspace admins On Business, Enterprise and Edu workspaces, admins decide which plugins members can use. OpenAI's documentation currently describes the controls under **Admin** > **Plugins** (the Help Center also refers to **Workspace settings** > **Plugins**; the label may differ by rollout). From there you can: - Set an **Installation policy** per plugin and role: **Available** (members can install it) or **Installed** (installed for them). - Manage the underlying app's access and permissions from the plugin's configuration or from **Workspace settings** > **Apps**. A plugin's required apps must be enabled, and members still need access to the connected service. - Import a plugin marketplace from a GitHub repository with **Add** > **Import marketplace**. Imported marketplaces sync daily, and **Sync now** forces an update. Admins can also publish a plugin they built to the workspace: in the **Personal** tab, open the plugin's three-dot menu, select **Publish**, and choose which roles get access. This doesn't publish it to the public directory. ## Troubleshooting | Problem | What to check | | --- | --- | | Plugin isn't listed | Plan, region or workspace policy may hide it. Search the exact name. | | Install button missing | The plugin may be **Desktop only**, or managed by your admin. | | Plugin installed but never used | Start a new chat, then call it with `@`. | | Asked to sign in every time | Disconnect it in **Settings** and connect again. | | Plugin vanished from Installed | Disconnecting the last account can remove related plugins. Reconnect it. | ## Next steps - Browse the [plugins directory](/plugins) and [apps directory](/apps) for plugins worth installing. - Want to connect a server that isn't in the directory? Read [How to add a custom MCP server to ChatGPT](/tutorials/add-mcp-server-to-chatgpt). - Use the same plugins from the terminal with [Use plugins and MCP servers in Codex](/tutorials/use-plugins-in-codex). > **plugin:** [Notion](https://chatgptplugins.directory/plugins/notion): Notion workflows for specs, research, meetings, and knowledge capture ## Listings in this tutorial - [Google Drive](https://chatgptplugins.directory/plugins/google-drive.md): Drive, Docs, Sheets or Slides - [Slack](https://chatgptplugins.directory/plugins/slack.md): Read and manage Slack - [Notion](https://chatgptplugins.directory/plugins/notion.md): Notion workflows for specs, research, meetings, and knowledge capture --- Source: https://chatgptplugins.directory/tutorials/install-plugins-in-chatgpt · Index: https://chatgptplugins.directory/llms.txt · Independent and community-run. Not affiliated with or endorsed by OpenAI. ChatGPT is a trademark of OpenAI. # How to package and publish a ChatGPT plugin > Package skills and an MCP server as a plugin with plugin.json, test it from a local marketplace, then upload, pass review and publish it to the directory. Published: 2026-10-04 · By: Divy Chaurasia · Level: advanced · Time: 60 min · Tags: plugins, publishing, submission A public plugin is published once and listed in the single directory that ChatGPT and Codex share. Publishing means packaging your skills and MCP server into a ZIP, uploading it to the OpenAI Platform, clearing automated checks, passing human review, and then choosing when to go live. This guide assumes you already have a working MCP server, skills, or both. If not, start with [Build your first ChatGPT app](/tutorials/build-your-first-chatgpt-app) or [Write a skill for ChatGPT and Codex](/tutorials/write-a-skill-for-chatgpt-and-codex). ## Before you start - **Verified identity.** Complete individual or business verification in the Platform's organization settings. You can only publish under a verified name; anything else is rejected. - **Permissions.** Organization owners can submit. Other members need the **Apps Management Write** permission, which an owner grants through organization roles. - **A public HTTPS endpoint** for any MCP server, typically ending in `/mcp`. Tunnels (ngrok, Secure MCP Tunnel) are for testing only and are not accepted. - **A project with global data residency.** Projects with EU data residency can't currently submit plugins that include an MCP server. - **Policy pages.** For an MCP plugin: a website, support page, privacy policy and terms of service, all on HTTPS. - **The rules.** Read OpenAI's [plugin guidelines](https://developers.openai.com/plugins/plugin-guidelines) before you build the listing. Most rejections trace back to them. ## 1. Choose the shape | Shape | Use when | | --- | --- | | Skills only | Instructions and the model's existing tools are enough. | | MCP server only | You need tools, but no extra workflow guidance. | | Skills and MCP server | Skills should guide the model through your tools. | | MCP server with UI | A visual component clearly helps part of the workflow. | Start with the smallest shape that covers your use cases. Note one current limit: you can't add an MCP server to a plugin that was first submitted as skills-only, so include the server in your first ZIP if you'll ever need it. ## 2. Lay out the package New plugins should use the portable Agent Plugins layout: ```text acme-notes/ ├── plugin.json ├── mcp.json ├── skills/ │ └── get-started/ │ └── SKILL.md └── assets/ ├── icon.png └── logo.png ``` Keep `plugin.json`, `mcp.json`, `skills/` and `assets/` at the plugin root. Every path in the manifest is relative to that root and starts with `./`. The older Codex layout (`.codex-plugin/plugin.json` with `.mcp.json`) is still supported as a fallback, and it's what every plugin in the `openai/plugins` repository uses. Look at the Figma and Notion plugins there for complete real examples. > **plugin:** [Figma](https://chatgptplugins.directory/plugins/figma): Figma design-to-code workflows ## 3. Write plugin.json Portable identity goes at the root. Everything OpenAI-specific (listing text, icons, review material) goes under `extensions.com.openai`: ```json { "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json", "name": "acme-notes", "version": "1.0.0", "description": "Search and summarize notes from your Acme workspace.", "author": { "name": "Acme", "email": "support@example.com", "url": "https://example.com" }, "homepage": "https://example.com/notes", "license": "MIT", "extensions": { "com.openai": { "interface": { "displayName": "Acme Notes", "shortDescription": "Find and summarize your notes", "longDescription": "Search notes in your Acme workspace and summarize decisions with links to the source. Only accesses notes available to your connected account.", "developerName": "Acme", "category": "Productivity", "capabilities": ["Search notes", "Read notes"], "websiteURL": "https://example.com/notes", "supportURL": "https://example.com/support", "privacyPolicyURL": "https://example.com/privacy", "termsOfServiceURL": "https://example.com/terms", "defaultPrompt": ["Find my notes about the launch."], "composerIcon": "./assets/icon.png", "logo": "./assets/logo.png" }, "onboardingSkill": "./skills/get-started/SKILL.md", "publication": { "release_notes": "Initial release with note search and summaries." } } } } ``` Constraints that trip people up: - `name` is kebab-case and stable. Hosts use it as the plugin ID and namespace. Max 64 characters. - `version` must be semver (`1.0.0`). - `displayName` and `shortDescription` are at most 30 characters each; `longDescription` at most 4,000. - `defaultPrompt`: up to three starter prompts, 128 characters each, with no `@` mentions. - Icons must be square, at least 48×48 pixels, and PNG, JPEG, WebP or SVG up to 5 MiB. - Don't put credentials or reviewer instructions in the package. Fields named `test_credentials` and `reviewer_instructions` are rejected. ## 4. Add the MCP server and skills Declare the remote server in `mcp.json`. The portable format requires a transport `type`, so don't just rename an old `.mcp.json`: ```json { "$schema": "https://agent-plugins.org/schemas/1.0.0/mcp.schema.json", "mcpServers": { "notes": { "type": "streamable-http", "url": "https://mcp.example.com/mcp" } } } ``` A package can declare several MCP servers, but only one can be connected per plugin in the submission portal. Each skill lives in `skills//SKILL.md` with `name` and `description` in its YAML front matter. Portable packages discover skills from `skills/` automatically, so the manifest doesn't need a `skills` field. > **Warning:** ZIPs that contain app references (an `apps` field or `.app.json`) or lifecycle hooks can't currently be submitted. Those are fine for local and workspace plugins, but for public submission, declare the server URL in `mcp.json`. ### Scaffolding with plugin-creator The built-in `$plugin-creator` skill in Codex (or `@plugin-creator` in a ChatGPT Work chat) can scaffold a plugin and a local marketplace entry for testing. It generates the older `.codex-plugin/plugin.json` layout, and it can wire in an MCP server you registered in developer mode by its `plugin_asdk_app...` ID. That wiring uses `.app.json`, so convert to `mcp.json` before a public submission. ## 5. Test it from a local marketplace Install and test the complete plugin before uploading. Create `$REPO_ROOT/.agents/plugins/marketplace.json` (or `~/.agents/plugins/marketplace.json` for a personal one): ```json { "name": "local-repo", "interface": { "displayName": "Local plugins" }, "plugins": [ { "name": "acme-notes", "source": { "source": "local", "path": "./plugins/acme-notes" }, "policy": { "installation": "AVAILABLE", "authentication": "ON_INSTALL" }, "category": "Productivity" } ] } ``` `source.path` is relative to the marketplace root, not to `.agents/plugins/`. Restart the ChatGPT desktop app, pick your marketplace in the Plugin Directory, install the plugin, and run your test prompts in a new chat. After each change, restart the app so it picks up the new files. Check that each skill triggers on the right requests and stays quiet on the wrong ones, that skills call the right tools, and that sign-in works after install. The Plugin Eval plugin can help benchmark skills locally. > **plugin:** [Plugin Eval](https://chatgptplugins.directory/plugins/plugin-eval): Start from chat, then evaluate or benchmark locally ## 6. Upload the ZIP Zip the plugin folder. The archive must contain exactly one plugin root, either at the top level or in a single top-level directory with no sibling files: ```bash zip -r acme-notes.zip acme-notes -x '*.DS_Store' ``` Then: 1. Open **Plugins** on the OpenAI Platform (`platform.openai.com/plugins`) and select **Upload new or existing plugin**. 2. Choose your verified **Developer identity**. The directory shows this name. 3. Select **Upload plugin** and choose the ZIP. If validation fails, fix the reported errors and upload again. ## 7. Clear the automated checks The plugin page has two areas: - **Metadata & Skills** shows findings for the uploaded package. Use **Copy issues**, fix the package, and select **Upload plugin to fix issues**. Required skill scans must finish before you can submit. - **MCPs** is where you connect the server. Select it, choose **Connect**, confirm the URL and auth, and complete domain verification. To verify, serve the exact challenge token as plain text (not JSON) at `https:///.well-known/openai-apps-challenge`. Wait for the tool scan, then read **Issues**, fix them on your server, and select **Rescan**. ## 8. Submit for review Plugins with an MCP server need review material. You can include most of it in `plugin.json` under `extensions.com.openai.review`, or fill it in under **Review information** > **Review details**: - **Exactly five positive test cases**: prompt, expected tools, expected result. - **Exactly three negative test cases**: prompts where the plugin should decline or ask for clarification. - **A video walkthrough** URL showing the test cases. - **Release notes.** - **Reviewer credentials**, entered in the dashboard only: a demo account with sample data that works immediately, without MFA, email or SMS codes, or private network access. Then select the draft, choose **Submit for review**, and complete the policy attestations. Track progress under **Review status**; feedback arrives by email. Only one review can be active per plugin. To appeal a rejection, reply to the rejection email. ## 9. Publish and keep it current Approval doesn't publish anything. Open the approved version and select **Publish plugin**. After that: - **Server changes** are picked up automatically. OpenAI scans your MCP server daily, and eligible tool updates go live once they pass checks. Select **Rescan** to check sooner. New tools stay unavailable until approved, so keep your server compatible with the currently approved schemas. - **Metadata or skill changes** need a new ZIP with a bumped version, which goes through checks and review again. - **Changing the MCP server URL** isn't supported in the update flow; contact support. Published plugins are found by direct link or by searching their exact name. Placement on the directory's main pages is chosen by OpenAI and can't be requested. ## What gets rejected From OpenAI's guidelines and review FAQ, the common reasons are: - Reviewers can't connect, or the test credentials need MFA or have expired. - Test cases don't produce the expected results on every supported surface. - Tool results return data your privacy policy doesn't disclose, or include debug fields such as session, trace or request IDs. - `readOnlyHint`, `destructiveHint` or `openWorldHint` don't match what a tool does. Set all three explicitly on every tool. - Vague tool descriptions, or descriptions that steer the model away from other plugins. - Generic names, or names with "MCP", "MCP Server" or "Plugin" appended. - Demo or trial plugins, ads, or selling digital goods and subscriptions. - Unofficial connectors to someone else's service. - Collecting restricted data such as payment card details, health records, government IDs or passwords. > **plugin:** [Notion](https://chatgptplugins.directory/plugins/notion): Notion workflows for specs, research, meetings, and knowledge capture ## Next steps - Debug review failures with [Test and debug an MCP server](/tutorials/test-mcp-server-with-inspector). - Distribute privately to a team through a marketplace instead; see [Use plugins and MCP servers in Codex](/tutorials/use-plugins-in-codex). - Browse published examples in the [plugins directory](/plugins). ## Listings in this tutorial - [Figma](https://chatgptplugins.directory/plugins/figma.md): Figma design-to-code workflows - [Notion](https://chatgptplugins.directory/plugins/notion.md): Notion workflows for specs, research, meetings, and knowledge capture - [Plugin Eval](https://chatgptplugins.directory/plugins/plugin-eval.md): Start from chat, then evaluate or benchmark locally --- Source: https://chatgptplugins.directory/tutorials/publish-a-chatgpt-plugin · Index: https://chatgptplugins.directory/llms.txt · Independent and community-run. Not affiliated with or endorsed by OpenAI. ChatGPT is a trademark of OpenAI. # Test and debug an MCP server with MCP Inspector > Debug an MCP server before you connect it to ChatGPT: MCP Inspector web UI and CLI, tunnels, logs, schema and annotation checks, and OAuth debugging. Published: 2026-10-04 · By: Divy Chaurasia · Level: intermediate · Time: 20 min · Tags: mcp, debugging, testing When an MCP server misbehaves in ChatGPT, the chat window tells you very little. Test it outside ChatGPT first: confirm it initializes, lists valid tools, returns the right results and handles auth. Then add a tunnel and ChatGPT, one layer at a time, so you know which layer broke. The main tool for this is **MCP Inspector**, the official MCP debugging client. It comes in one package with a web UI, a CLI and a terminal UI. ## Before you start - **Node.js 22.19 or newer** for the current Inspector (v2). The older v1 line is still available as `npx @modelcontextprotocol/inspector@v1-latest`, but its CLI flags differ from the examples here. - **Your server running locally**, for example on `http://localhost:8787/mcp`. If you don't have one, follow [Build your first ChatGPT app](/tutorials/build-your-first-chatgpt-app). - **`jq`**, if you want to script assertions. > **Tip:** To check that your *client* setup works before blaming your server, point the Inspector at a known-good server. The reference "Everything" server implements every MCP feature, and DeepWiki is a public remote server with no auth (`https://mcp.deepwiki.com/mcp`). > **MCP server:** [Everything](https://chatgptplugins.directory/mcp/everything): Reference test server exercising every MCP protocol feature ## 1. Inspect it in the web UI ```bash npx @modelcontextprotocol/inspector@latest ``` This opens the Inspector in your browser. Choose **Streamable HTTP**, enter your server URL, and connect. Then work through this list: 1. **Initialization succeeds.** Note the protocol version and capabilities the server reports. 2. **Server instructions** read well. ChatGPT and Codex use the MCP `instructions` field as server-wide guidance, and Codex recommends keeping the first 512 characters self-contained. 3. **The tool list** is what you expect, with no leftovers from earlier experiments. 4. **Every tool** works with normal inputs, edge cases, missing IDs and empty results. 5. **Errors** come back as readable messages, not stack traces. 6. **Auth** is enforced for private data and write actions. For a stdio server, the Inspector can start it for you. Pass the command after the package name: ```bash npx @modelcontextprotocol/inspector node build/index.js ``` > **Note:** The Inspector stores OAuth tokens, client secrets and stdio environment values in your OS keychain when one is available, and otherwise in `~/.mcp-inspector/secrets.json`. Keep that in mind on shared machines. ## 2. Script checks with the Inspector CLI The CLI runs one MCP call per command and exits with a status code, which makes it good for repeatable checks and CI. ```bash # Connect-only probe: handshake, print server info, disconnect npx @modelcontextprotocol/inspector --cli --transport http \ --server-url http://localhost:8787/mcp --method initialize # List tools as JSON npx @modelcontextprotocol/inspector --cli --transport http \ --server-url http://localhost:8787/mcp --method tools/list --format json # Call one tool with typed arguments npx @modelcontextprotocol/inspector --cli --transport http \ --server-url http://localhost:8787/mcp \ --method tools/call --tool-name roll_dice \ --tool-args-json '{"count":2,"sides":6}' --format json ``` Prefer `--tool-args-json` over `--tool-arg key=value`. The `key=value` form parses values as JSON when it can, so an ID like `10001` arrives as a number, and a schema expecting a string will reject it. Turn checks into assertions with `jq -e`, which fails when the result is `null` or `false`: ```bash npx @modelcontextprotocol/inspector --cli --transport http \ --server-url http://localhost:8787/mcp --method tools/list --format json \ | jq -e '.result.tools | map(.name) | index("roll_dice")' > /dev/null ``` Two more flags worth knowing: - `--app-info` reports whether a tool has an MCP Apps UI and which `ui://` resource it points to, without calling the tool. It exits `2` when there is no UI. - `--strict` on `tools/list` adds `schemaFindings` for schema portability problems. In CI, pin an exact Inspector version (`npx --yes @modelcontextprotocol/inspector@ --cli ...`) so results don't change under you. ## 3. Check tool schemas and annotations Most "the model won't call my tool" problems are metadata problems. For each tool, check: - **Name**: specific and verb-first (`get_order_status`), unique within the server. - **Description**: says what it does, when to use it ("Use this when…"), and its limits. - **Input schema**: every parameter has a type and a description; use enums for fixed choices; mark required fields. Ask only for what the tool needs. - **Output schema**: if you declare `outputSchema`, `structuredContent` must match it on every call, including error cases. - **Annotations**: set `readOnlyHint`, `destructiveHint` and `openWorldHint` explicitly. ChatGPT treats a tool with no `readOnlyHint` as a write and asks for confirmation every time. OpenAI's plugin review rejects annotations that don't match behavior. - **UI link**: for app tools, `_meta.ui.resourceUri` points at a resource that exists, served with MIME type `text/html;profile=mcp-app`. ## 4. Watch the raw traffic and logs When the Inspector and your expectations disagree, go one level lower. A Streamable HTTP server is just HTTP, so you can call it with `curl`: ```bash curl -s -X POST http://localhost:8787/mcp \ -H 'Content-Type: application/json' \ -H 'Accept: application/json, text/event-stream' \ -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-06-18","capabilities":{},"clientInfo":{"name":"curl","version":"1"}}}' ``` A healthy server returns a JSON-RPC result with `serverInfo` and `capabilities`. A `406 Not Acceptable` from a server built on the official TypeScript SDK means the `Accept` header doesn't list both `application/json` and `text/event-stream`. On the server side: - Log every incoming method name, tool name and duration, plus the full error for failures. - **For stdio servers, never write logs to stdout.** Stdout carries the protocol; a stray `console.log` corrupts it. Log to stderr instead. - Don't log access tokens or sensitive tool results. ## 5. Test through a tunnel, then ChatGPT Once it works locally, expose it and repeat the same checks against the public URL: ```bash ngrok http 8787 # or cloudflared tunnel --url http://localhost:8787 ``` ```bash npx @modelcontextprotocol/inspector --cli --transport http \ --server-url https://abc123.ngrok.app/mcp --method tools/list --format json ``` If it passes here but fails in ChatGPT, the problem is in the ChatGPT setup (URL, auth mode, stale metadata), not the server. Connect it with [developer mode](/tutorials/add-mcp-server-to-chatgpt), and remember to select **Refresh** on the connection after every server change. For raw request and response logs from OpenAI's side, use the API Playground: **Tools** > **Add** > **MCP Server**, enter the HTTPS endpoint, and run test prompts. > **MCP server:** [DeepWiki](https://chatgptplugins.directory/mcp/deepwiki): Ask questions about any public GitHub repo using DeepWiki's generated docs ## 6. Debug OAuth ChatGPT follows the MCP authorization spec. Check each link in the chain: 1. **Protected resource metadata.** Your server publishes it at `/.well-known/oauth-protected-resource`, or points to it in a `WWW-Authenticate` header on `401` responses: ```bash curl -i https://mcp.example.com/.well-known/oauth-protected-resource curl -i -X POST https://mcp.example.com/mcp -H 'Content-Type: application/json' -d '{}' ``` The second call should return `401` with `WWW-Authenticate: Bearer resource_metadata="..."`. 2. **Authorization server metadata** is reachable at `/.well-known/oauth-authorization-server` or `/.well-known/openid-configuration` on your identity provider. 3. **Client registration** works: CIMD (`client_id_metadata_document_supported: true`), DCR, or static credentials entered in ChatGPT. 4. **Redirect URI** matches exactly. Copy it from the connection's page in ChatGPT; it is either `https://chatgpt.com/connector/oauth/{callback_id}` or the stable `https://chatgpt.com/connector_platform_oauth_redirect`, depending on whether your authorization server supports issuer identification. 5. **Tokens** are checked for issuer, audience, expiry and scopes. Reject bad tokens with a `401` and the `WWW-Authenticate` challenge, so the client re-authorizes. To test with the Inspector, register its callback URL with your provider (`http://localhost:6274/oauth/callback` for the web UI, `http://127.0.0.1:6276/oauth/callback` for the CLI). Then: ```bash # skip OAuth and pass a token you already have npx @modelcontextprotocol/inspector --cli --transport http \ --server-url https://mcp.example.com/mcp \ --header "Authorization: Bearer $TOKEN" --method tools/list # throw away stored tokens and log in again npx @modelcontextprotocol/inspector --cli --transport http \ --server-url https://mcp.example.com/mcp --relogin --method tools/list ``` ## Common protocol mistakes - The URL in ChatGPT is missing the `/mcp` path. - OAuth discovery routes return an HTML error page or `500` on a no-auth server. Return `404`. - CORS preflight (`OPTIONS`) isn't handled, or `Mcp-Session-Id` isn't exposed. - A stateful server loses sessions behind a load balancer. Use stateless mode or sticky sessions. - Tool results include only `content` when the widget needs `structuredContent`. - Tool results leak internal IDs, timestamps or debug payloads. - Tool names or schemas change between deploys, breaking chats that already loaded the old list. ## Next steps - Connect the working server: [How to add a custom MCP server to ChatGPT](/tutorials/add-mcp-server-to-chatgpt). - Prepare it for review: [Publish a ChatGPT plugin](/tutorials/publish-a-chatgpt-plugin). - Compare your server with others in the [MCP directory](/mcp). ## Listings in this tutorial - [Everything](https://chatgptplugins.directory/mcp/everything.md): Reference test server exercising every MCP protocol feature - [DeepWiki](https://chatgptplugins.directory/mcp/deepwiki.md): Ask questions about any public GitHub repo using DeepWiki's generated docs --- Source: https://chatgptplugins.directory/tutorials/test-mcp-server-with-inspector · Index: https://chatgptplugins.directory/llms.txt · Independent and community-run. Not affiliated with or endorsed by OpenAI. ChatGPT is a trademark of OpenAI. # Use plugins and MCP servers in Codex > Install plugins in the Codex CLI with /plugins or codex plugin add, add marketplaces, enable plugins per project, and connect MCP servers through config.toml. Published: 2026-10-04 · By: Divy Chaurasia · Level: beginner · Time: 15 min · Tags: codex, plugins, mcp Codex uses the same plugins as ChatGPT. A plugin can add skills (reusable instructions) and MCP servers (tools that reach GitHub, Linear, your browser and so on) to a Codex session. You can also connect MCP servers directly, without a plugin. This guide covers both, in the Codex CLI and in Codex inside the ChatGPT desktop app. ## Before you start Install Codex and sign in: ```bash npm install -g @openai/codex # or: brew install --cask codex codex ``` Choose **Sign in with ChatGPT** on first run. API-key sign-in also works, with limits described below. Where things work: | Surface | Plugins | MCP servers | | --- | --- | --- | | Codex CLI | Yes (`/plugins`) | Yes | | Codex in the ChatGPT desktop app | Yes (**Plugins** tab) | Yes | | IDE extension | No | Yes | All three share one MCP configuration file, `~/.codex/config.toml`, so a server you add in one shows up in the others. ### Plugin or MCP server? Install a **plugin** when one exists for the service: it bundles the MCP server with skills that tell Codex how to use it, and prompts you to connect the account when needed. Add a **bare MCP server** (step 7) when there's no plugin, when you're testing your own server, or when you want only the tools without the bundled instructions. You can use both at once. ## 1. Browse and install with /plugins Start Codex and open the plugin browser: ```text codex /plugins ``` The browser groups plugins by marketplace, with one tab per source. OpenAI's built-in marketplace is shown as **Codex official** (its internal name is `openai-curated`). From here you can: - Open a plugin to read what it contains. - Install or uninstall it. - Press Space on an installed plugin to turn it on or off. Start a **new session** after installing. Bundled skills and tools only load when a session starts. If the plugin includes an MCP server that needs a login, you'll be asked to authenticate before its tools work. > **plugin:** [GitHub](https://chatgptplugins.directory/plugins/github): Triage PRs, issues, CI, and publish flows ## 2. Install from the command line The same actions are available as subcommands, which is handy in setup scripts: ```bash # list installed plugins (add --json for machine-readable output) codex plugin list codex plugin list --marketplace openai-curated # include plugins you haven't installed yet (requires --json) codex plugin list --available --json # install: PLUGIN@MARKETPLACE, or PLUGIN with --marketplace codex plugin add linear@openai-curated codex plugin add linear --marketplace openai-curated # uninstall and remove the cached copy codex plugin remove linear@openai-curated ``` Installed copies live under `~/.codex/plugins/cache////`. > **plugin:** [Linear](https://chatgptplugins.directory/plugins/linear): Plan and build products ## 3. Add more marketplaces A marketplace is a JSON catalog of plugins, usually in a Git repository. Add one with: ```bash codex plugin marketplace add owner/repo codex plugin marketplace add owner/repo --ref main codex plugin marketplace add https://github.com/example/plugins.git --sparse .agents/plugins codex plugin marketplace add ./local-marketplace-root ``` Manage them with: ```bash codex plugin marketplace list codex plugin marketplace upgrade # refresh all codex plugin marketplace upgrade # refresh one codex plugin marketplace remove ``` Codex reads marketplace files from `.agents/plugins/marketplace.json` and, for compatibility, `.claude-plugin/marketplace.json`. That's why some community catalogs built for other agents also work. For example, Trail of Bits documents: ```bash codex plugin marketplace add trailofbits/skills codex plugin add @trailofbits ``` You can also keep a repo marketplace at `$REPO_ROOT/.agents/plugins/marketplace.json` or a personal one at `~/.agents/plugins/marketplace.json`. The format is covered in [Publish a ChatGPT plugin](/tutorials/publish-a-chatgpt-plugin). ## 4. Use a plugin in a session Once installed and enabled, you can: - **Describe the task.** "Look at the failing CI run on my open PR and propose a fix." Codex picks matching skills and tools. - **Call a bundled skill by name.** Type `$` and choose the skill, or run `/skills` to browse. - **Check MCP tools.** Run `/mcp` to list the active MCP servers, including those a plugin brought in. When a plugin's tools run in Codex, your sandbox and approval settings still apply. Connections to outside services use that service's own login and permissions. ## 5. Enable a plugin for one project Plugins from a local or repo marketplace can be switched on or off per project. In the repository's `.codex/config.toml`: ```toml [plugins."my-plugin@local-repo"] enabled = true ``` The key is `plugin-name@marketplace-name`. Set `enabled = false` to turn it off for that project without uninstalling it. Codex only loads `.codex/config.toml` for **trusted** projects. Project settings override user and system defaults, unless an admin enforces a value. Plugins your workspace admin imported through **Admin** > **Plugins** follow workspace policy instead. ## 6. Tune a plugin's MCP servers You can adjust MCP servers that come inside a plugin without editing the plugin: ```toml [plugins."my-plugin".mcp_servers.docs] enabled = true default_tools_approval_mode = "prompt" enabled_tools = ["search"] [plugins."my-plugin".mcp_servers.docs.tools.search] approval_mode = "approve" ``` `default_tools_approval_mode` accepts `auto`, `prompt`, `writes` (prompt for tools not marked read-only) and `approve`. ## 7. Add MCP servers without a plugin For a server that isn't packaged as a plugin, use `codex mcp`: ```bash # local server started as a command (stdio) codex mcp add context7 -- npx -y @upstash/context7-mcp # remote server over Streamable HTTP codex mcp add linear --url https://mcp.linear.app/mcp codex mcp login linear # runs the OAuth flow in your browser # remote server with a token from an environment variable codex mcp add example --url https://mcp.example.com/mcp --bearer-token-env-var EXAMPLE_TOKEN codex mcp list codex mcp get linear codex mcp remove linear ``` Everything after `--` is the command that starts a stdio server. Pass environment variables with repeated `--env KEY=VALUE`. > **MCP server:** [Context7](https://chatgptplugins.directory/mcp/context7): Pull up-to-date, version-specific library docs into your coding agent Or edit `~/.codex/config.toml` (or a trusted project's `.codex/config.toml`) directly: ```toml [mcp_servers.context7] command = "npx" args = ["-y", "@upstash/context7-mcp"] [mcp_servers.figma] url = "https://mcp.figma.com/mcp" bearer_token_env_var = "FIGMA_OAUTH_TOKEN" startup_timeout_sec = 20 ``` Useful keys: `startup_timeout_sec` (default 10), `tool_timeout_sec` (default 60), `enabled`, `required`, `enabled_tools` and `disabled_tools`. In the desktop app, use **Settings** > **MCP servers** > **Add server**, then **Restart**. In the IDE extension, use the gear menu > **MCP servers**, then **Restart extension**. Find servers and copy-ready config in the [MCP directory](/mcp). ## Signing in with an API key If you sign in to Codex with an OpenAI API key, you can browse and install supported OpenAI-curated plugins in the CLI and the desktop app. Some plugins aren't available this way because their connection flow needs OAuth features API-key sign-in doesn't support. Usage shows on the Platform usage page. ## Troubleshooting | Problem | Fix | | --- | --- | | No plugins in the IDE extension | Expected. Use the CLI or the desktop app. | | Installed plugin does nothing | Start a new session, then check it's toggled on in `/plugins`. | | Project `enabled = true` ignored | Trust the project; untrusted projects skip `.codex/config.toml`. | | Marketplace entry missing | Codex skips entries whose source it can't resolve. Check the path or Git ref, then run `codex plugin marketplace upgrade`. | | MCP server times out on start | Raise `startup_timeout_sec`, and run the command by hand to see errors. | | OAuth server shows as unauthenticated | Run `codex mcp login `. | ## Next steps - Install plugins in ChatGPT too: [How to install, use and remove plugins in ChatGPT](/tutorials/install-plugins-in-chatgpt). - Write your own skill: [Write a skill for ChatGPT and Codex](/tutorials/write-a-skill-for-chatgpt-and-codex). - Browse the [plugins directory](/plugins) and [MCP directory](/mcp). ## Listings in this tutorial - [GitHub](https://chatgptplugins.directory/plugins/github.md): Triage PRs, issues, CI, and publish flows - [Linear](https://chatgptplugins.directory/plugins/linear.md): Plan and build products - [Context7](https://chatgptplugins.directory/mcp/context7.md): Pull up-to-date, version-specific library docs into your coding agent --- Source: https://chatgptplugins.directory/tutorials/use-plugins-in-codex · Index: https://chatgptplugins.directory/llms.txt · Independent and community-run. Not affiliated with or endorsed by OpenAI. ChatGPT is a trademark of OpenAI. # Use remote MCP servers in the OpenAI API and Agents SDK > Call remote MCP servers from the OpenAI Responses API with the mcp tool type: server_url, allowed_tools, approvals and authorization, plus Agents SDK examples. Published: 2026-10-04 · By: Divy Chaurasia · Level: intermediate · Time: 20 min · Tags: mcp, openai-api, agents-sdk The Responses API can use any remote MCP server as a tool. You pass the server's URL in the request, and OpenAI's side lists the server's tools, lets the model call them, and puts the results back into the model's context. Your code doesn't need an MCP client. This guide covers the `mcp` tool type in the Responses API, then the same thing in the Agents SDK, with Python and TypeScript examples. ## Before you start ```bash pip install --upgrade openai # Python npm install openai # TypeScript export OPENAI_API_KEY=sk-... ``` You also need a remote MCP server that speaks Streamable HTTP or HTTP/SSE. The examples use two public servers that need no auth: OpenAI's dice demo (`https://dmcp-server.deno.dev/mcp`) and DeepWiki (`https://mcp.deepwiki.com/mcp`). The model is `gpt-6-astra`, which OpenAI's MCP guide uses; check the models page for MCP tool support if you pick another. > **Note:** You pay only for the tokens used to import tool definitions and make tool calls. There's no extra fee per MCP call. ## 1. Make your first call ```python from openai import OpenAI client = OpenAI() resp = client.responses.create( model="gpt-6-astra", tools=[ { "type": "mcp", "server_label": "dmcp", "server_description": "A Dungeons and Dragons MCP server to assist with dice rolling.", "server_url": "https://dmcp-server.deno.dev/mcp", "require_approval": "never", } ], input="Roll 2d4+1", ) print(resp.output_text) ``` ```typescript import OpenAI from "openai"; const client = new OpenAI(); const resp = await client.responses.create({ model: "gpt-6-astra", tools: [ { type: "mcp", server_label: "dmcp", server_description: "A Dungeons and Dragons MCP server to assist with dice rolling.", server_url: "https://dmcp-server.deno.dev/mcp", require_approval: "never", }, ], input: "Roll 2d4+1", }); console.log(resp.output_text); ``` The fields: | Field | Purpose | | --- | --- | | `type` | Always `"mcp"`. | | `server_label` | Required. A short name used in output items and approvals. | | `server_url` | The remote endpoint, including its path. | | `server_description` | Optional. Helps the model decide when to use the server. | | `require_approval` | `"always"`, `"never"`, or a per-tool filter (step 4). | | `allowed_tools` | Optional list that limits which tools are imported (step 3). | | `authorization` | Optional OAuth token or API key for the server (step 5). | ## 2. Read the output items MCP activity shows up as items in `resp.output`: - **`mcp_list_tools`**: the tools imported from the server, with their input schemas. The API fetches this on the first turn. As long as this item stays in the conversation context, the API won't fetch the list again on later turns, so keep it there to save latency. - **`mcp_call`**: one per tool call, with `name`, the `arguments` the model sent, the `output` the server returned, and an `error` field if something failed. - **`mcp_approval_request`**: a call waiting for your approval. ```python for item in resp.output: if item.type == "mcp_call": print(item.name, item.arguments, "->", item.output, item.error) ``` ## 3. Limit the tools with allowed_tools Servers can expose dozens of tools. Every imported definition costs tokens and gives the model more ways to go wrong. Import only what you need: ```python tool = { "type": "mcp", "server_label": "deepwiki", "server_url": "https://mcp.deepwiki.com/mcp", "allowed_tools": ["ask_question", "read_wiki_structure"], "require_approval": "never", } ``` If you use tool search, `"defer_loading": True` on the MCP tool defers loading its definitions until the model needs them. > **MCP server:** [DeepWiki](https://chatgptplugins.directory/mcp/deepwiki): Ask questions about any public GitHub repo using DeepWiki's generated docs ## 4. Handle approvals By default the API asks for your approval before sending any data to a remote MCP server. Instead of calling the tool, the response contains `mcp_approval_request` items. You review them and reply with `mcp_approval_response` items in a follow-up request: ```python tool = { "type": "mcp", "server_label": "dmcp", "server_url": "https://dmcp-server.deno.dev/mcp", "require_approval": "always", } resp = client.responses.create(model="gpt-6-astra", tools=[tool], input="Roll 2d4+1") approvals = [] for item in resp.output: if item.type == "mcp_approval_request": print(f"{item.server_label}.{item.name} wants: {item.arguments}") approvals.append({ "type": "mcp_approval_response", "approve": True, # decide per call in real code "approval_request_id": item.id, }) if approvals: resp = client.responses.create( model="gpt-6-astra", tools=[tool], previous_response_id=resp.id, input=approvals, ) print(resp.output_text) ``` ```typescript const tool = { type: "mcp" as const, server_label: "dmcp", server_url: "https://dmcp-server.deno.dev/mcp", require_approval: "always" as const, }; let resp = await client.responses.create({ model: "gpt-6-astra", tools: [tool], input: "Roll 2d4+1" }); const approvals = resp.output.flatMap((item) => item.type === "mcp_approval_request" ? [{ type: "mcp_approval_response" as const, approve: true, // decide per call in real code approval_request_id: item.id, }] : [] ); if (approvals.length > 0) { resp = await client.responses.create({ model: "gpt-6-astra", tools: [tool], previous_response_id: resp.id, input: approvals, }); } console.log(resp.output_text); ``` Once you trust a server, skip approvals for its read-only tools and keep them for everything else: ```python "require_approval": {"never": {"tool_names": ["ask_question", "read_wiki_structure"]}} ``` `"never"` skips approvals for all tools on that server. ## 5. Authenticate Most real servers need a token. Pass it in `authorization`: ```python import os resp = client.responses.create( model="gpt-6-astra", input="Create a payment link for $20", tools=[ { "type": "mcp", "server_label": "stripe", "server_url": "https://mcp.stripe.com", "authorization": os.environ["STRIPE_OAUTH_ACCESS_TOKEN"], } ], ) ``` The API doesn't store this value and doesn't echo it in the response object, so you must send it on **every** request, including approval follow-ups. Your application is responsible for getting the token, for example through the service's OAuth flow. > **MCP server:** [Stripe](https://chatgptplugins.directory/mcp/stripe): Query and act on your Stripe account and search Stripe docs from any agent ## 6. Private servers and legacy connectors - **Private or on-premises servers.** Use Secure MCP Tunnel instead of exposing the server publicly. Run OpenAI's `tunnel-client` next to the server and pass `tunnel_id` in place of `server_url`. - **Built-in connectors** (`connector_id`, for example `connector_gmail`) are deprecated for models released after September 1, 2026. Older models keep them. For new work, use the service's own remote MCP server; GitHub's, for example, is `https://api.githubcopilot.com/mcp/`. ## 7. Use MCP from the Agents SDK The Agents SDK supports two patterns. **Hosted MCP tools** send the round trip through the Responses API, exactly as above: ```python import asyncio from agents import Agent, HostedMCPTool, Runner agent = Agent( name="Repo expert", instructions="Answer questions about GitHub repositories using DeepWiki.", model="gpt-6-astra", tools=[ HostedMCPTool( tool_config={ "type": "mcp", "server_label": "deepwiki", "server_url": "https://mcp.deepwiki.com/mcp", "allowed_tools": ["ask_question"], "require_approval": "never", } ) ], ) async def main(): result = await Runner.run(agent, "How does routing work in vercel/next.js?") print(result.final_output) asyncio.run(main()) ``` ```typescript import { Agent, hostedMcpTool, run } from "@openai/agents"; const agent = new Agent({ name: "Repo expert", instructions: "Answer questions about GitHub repositories using DeepWiki.", model: "gpt-6-astra", tools: [ hostedMcpTool({ serverLabel: "deepwiki", serverUrl: "https://mcp.deepwiki.com/mcp", allowedTools: ["ask_question"], requireApproval: "never", }), ], }); const result = await run(agent, "How does routing work in vercel/next.js?"); console.log(result.finalOutput); ``` > **Note:** In the TypeScript SDK, `hostedMcpTool` defaults `requireApproval` to `"never"`, unlike the raw Responses API. Set it explicitly so the behavior is obvious to the next reader. **SDK-managed servers** connect from your own process. Use this for servers on `localhost` or a private network, where OpenAI can't reach them: ```python import asyncio from agents import Agent, Runner from agents.mcp import MCPServerStreamableHttp async def main(): async with MCPServerStreamableHttp( name="dice", params={"url": "http://localhost:8787/mcp"}, ) as server: agent = Agent(name="Dice", instructions="Use the tools to roll dice.", model="gpt-6-astra", mcp_servers=[server]) result = await Runner.run(agent, "Roll 3d6") print(result.final_output) asyncio.run(main()) ``` ```typescript import { Agent, MCPServerStreamableHttp, run } from "@openai/agents"; const server = new MCPServerStreamableHttp({ url: "http://localhost:8787/mcp", name: "dice" }); await server.connect(); try { const agent = new Agent({ name: "Dice", instructions: "Use the tools to roll dice.", model: "gpt-6-astra", mcpServers: [server] }); const result = await run(agent, "Roll 3d6"); console.log(result.finalOutput); } finally { await server.close(); } ``` `MCPServerStdio` works the same way for servers started as a local command. Tracing is on by default, so every MCP call shows up on the Platform's Traces page. ## Safety > **Warning:** Remote MCP servers aren't verified by OpenAI. A malicious server can try to pull data out of anything in the model's context, or hide instructions in tool descriptions and results. - Prefer official servers run by the service itself (Stripe's at `mcp.stripe.com`, not a third-party proxy). - Keep approvals on for anything that writes, sends or spends. - Limit tools with `allowed_tools`. - Log what you send to each server and review it. - Be careful with URLs that come back in tool output before fetching or embedding them. - Data sent to an MCP server falls under that server's retention and residency policies, not OpenAI's. ## Troubleshooting | Problem | Fix | | --- | --- | | No `mcp_list_tools` item, or an error listing tools | Check the URL and path, and that the server speaks Streamable HTTP or SSE. Test it with [MCP Inspector](/tutorials/test-mcp-server-with-inspector). | | Model never calls the tool | Add a `server_description`, improve tool descriptions, or name the tool in the prompt. | | `401` errors in `mcp_call.error` | The `authorization` value is missing or expired. Send it on every request. | | Approval loop never ends | Reuse `previous_response_id` and include every pending `approval_request_id`. | | Agents SDK can't reach `localhost` | Hosted tools run on OpenAI's side. Use `MCPServerStreamableHttp` instead. | > **MCP server:** [GitHub](https://chatgptplugins.directory/mcp/github): Manage repos, issues, pull requests and Actions from your AI agent ## Next steps - Find remote servers to call in the [MCP directory](/mcp). - Build your own server: [Build your first ChatGPT app](/tutorials/build-your-first-chatgpt-app). - Use the same servers in ChatGPT: [How to add a custom MCP server to ChatGPT](/tutorials/add-mcp-server-to-chatgpt). ## Listings in this tutorial - [DeepWiki](https://chatgptplugins.directory/mcp/deepwiki.md): Ask questions about any public GitHub repo using DeepWiki's generated docs - [Stripe](https://chatgptplugins.directory/mcp/stripe.md): Query and act on your Stripe account and search Stripe docs from any agent - [GitHub](https://chatgptplugins.directory/mcp/github.md): Manage repos, issues, pull requests and Actions from your AI agent --- Source: https://chatgptplugins.directory/tutorials/mcp-in-the-openai-api · Index: https://chatgptplugins.directory/llms.txt · Independent and community-run. Not affiliated with or endorsed by OpenAI. ChatGPT is a trademark of OpenAI. # Write an Agent Skill for ChatGPT and Codex > Write a skill with SKILL.md, scripts and references, load it in Codex, test when it triggers, and bundle it in a plugin so it also works in ChatGPT. Published: 2026-10-04 · By: Divy Chaurasia · Level: beginner · Time: 20 min · Tags: skills, codex, chatgpt A skill is a folder of instructions (plus optional scripts and reference files) that teaches ChatGPT or Codex how to do one job your way: draft release notes, review a migration, prepare a weekly report. Skills follow the open [Agent Skills](https://agentskills.io) standard, so a well-written skill can work across tools that support it. The model doesn't read every skill all the time. It starts with each skill's name and description, and loads the full instructions only when it decides a skill fits the task. That makes the description the most important line you'll write. This guide builds a `release-notes` skill, tests it in Codex, and packages it so it works in ChatGPT too. ## Before you start - **Codex** installed (`npm install -g @openai/codex`) and signed in, or the ChatGPT desktop app. - **A task you repeat** and already know how to do well. Skills capture a process; they don't invent one. > **Tip:** You don't have to write the files by hand. Run `$skill-creator` in Codex, or `@skill-creator` in a ChatGPT Work chat, and describe the workflow. It asks when the skill should trigger and whether it needs scripts, then drafts the folder. The steps below explain what it produces, so you can review and edit it. ## 1. Create the skill folder A skill is a directory with a required `SKILL.md` and optional extras: ```text release-notes/ ├── SKILL.md # required: front matter + instructions ├── scripts/ # optional: code the agent can run ├── references/ # optional: docs to read when needed ├── assets/ # optional: templates and other files └── agents/ └── openai.yaml # optional: UI metadata, invocation policy, dependencies ``` Where you put it decides where Codex finds it: | Scope | Location | Use for | | --- | --- | --- | | Repo | `.agents/skills/` in the current folder, any parent folder, or the repo root | Skills for one project, checked into Git | | User | `$HOME/.agents/skills/` | Your personal skills, in every project | | Admin | `/etc/codex/skills/` | Machine-wide defaults | | System | Bundled with Codex | Built-ins such as `skill-creator` | For this guide, create it in a repository: ```bash mkdir -p .agents/skills/release-notes/{scripts,references} ``` Codex follows symlinked skill folders, so you can keep skills in one place and link them into several repos. ## 2. Write SKILL.md `.agents/skills/release-notes/SKILL.md`: ```md --- name: release-notes description: Draft release notes from commits merged since the last Git tag. Use when the user asks for release notes, a changelog entry or a "what shipped" summary. Do not use for writing commit messages or PR descriptions. --- Draft release notes for the changes since the most recent tag. 1. Run `scripts/changes_since_tag.sh` from the repository root. It prints the last tag, then one line per commit since that tag. 2. If the script reports no tags, ask the user which commit to start from. Do not guess. 3. Group the changes under these headings, in this order: Added, Changed, Fixed, Removed. Skip empty headings. 4. Write each item as one sentence in plain language for users, not developers. Drop pure refactors, test-only and CI-only changes. 5. Follow the tone and formatting rules in `references/style.md`. 6. End with the version range, for example `v1.4.0...HEAD`. Never invent changes that aren't in the script output. If an item is unclear, list it under "Needs review" instead of guessing what it does. ``` The rules for the front matter: - `name` and `description` are both required. - **Front-load the description.** Put the job and the trigger phrases first. When many skills are installed, Codex shortens descriptions to fit its budget, so the start must stand on its own. - **Say when not to use it.** Boundaries stop the skill firing on nearby tasks. For the body: write numbered, imperative steps with clear inputs and outputs. Say what to do when information is missing. Keep it to one job; split a skill when parts of it have different triggers. ## 3. Add a script and a reference file Use `scripts/` when a step needs to be deterministic. Instructions are enough for most steps, so don't add code that the model could do reliably on its own. `.agents/skills/release-notes/scripts/changes_since_tag.sh`: ```bash #!/usr/bin/env bash set -euo pipefail last_tag=$(git describe --tags --abbrev=0 2>/dev/null || true) if [ -z "$last_tag" ]; then echo "NO_TAGS" exit 0 fi echo "LAST_TAG=$last_tag" git log --no-merges --pretty=format:'%h %s' "$last_tag"..HEAD ``` ```bash chmod +x .agents/skills/release-notes/scripts/changes_since_tag.sh ``` Use `references/` for longer material the agent should read only when it needs it, such as style guides, schemas and examples. `SKILL.md` stays short, and the reference loads only when the skill runs. `.agents/skills/release-notes/references/style.md`: ```md # Release notes style - Present tense: "Adds", "Fixes". - No internal ticket numbers or author names. - Link to docs pages when a feature has one. - Maximum 12 items; group minor fixes as "Other fixes". ``` ## 4. Optional: agents/openai.yaml This file controls how the skill appears in the ChatGPT desktop app, whether the model may pick it on its own, and which MCP tools it depends on: ```yaml interface: display_name: "Release notes" short_description: "Draft release notes since the last tag" policy: allow_implicit_invocation: false ``` `allow_implicit_invocation` defaults to `true`. Set it to `false` for skills that should only run when you ask for them by name. If a skill relies on an MCP server, declare it under `dependencies.tools` with its `type`, `value`, `transport` and `url`, and still tell the model in `SKILL.md` which tools to call and in what order. ## 5. Run it in Codex Start Codex in the repository. New and changed skills are detected automatically; restart Codex if one doesn't show up. There are two ways a skill runs: - **Explicitly:** type `$release-notes`, or run `/skills` to pick it from a list. - **Implicitly:** ask "Write release notes for this version" and Codex should choose the skill from its description. ```text $release-notes for everything since the last tag ``` Check that Codex ran the script, used the headings, and followed the style file. ## 6. Test when it triggers Run a small set of prompts and record what happens for each: | Prompt type | Example | Expected | | --- | --- | --- | | Direct | "Draft release notes" | Skill runs | | Indirect | "What shipped since v1.4?" | Skill runs | | Missing input | Repo with no tags | Asks where to start | | Negative | "Write a commit message for this diff" | Skill doesn't run | | Edge case | Only CI changes since the tag | Says there's nothing user-facing | If it fires at the wrong times, fix the **description**. If it fires correctly but the output is off, fix the **instructions**. Re-run the set after every change. > **plugin:** [Plugin Eval](https://chatgptplugins.directory/plugins/plugin-eval): Start from chat, then evaluate or benchmark locally The Plugin Eval plugin can help run this kind of evaluation locally, with reports that explain token budgets. ## 7. Use the skill in ChatGPT Where a skill works depends on how you install it: - **Standalone skill folders** work in the ChatGPT desktop app, the Codex CLI and the IDE extension. In the desktop app, open **Skills** in the sidebar to see skills from your projects. - **Skills bundled in a plugin** also work in Chat and Work in ChatGPT on the web, desktop and mobile. In ChatGPT, type `@` to pick a skill explicitly, or just describe the task and let ChatGPT match it. ## 8. Bundle it in a plugin To share a skill, or use it on ChatGPT web and mobile, package it as a plugin. A skills-only plugin needs just a manifest and a `skills/` folder: ```text release-notes-plugin/ ├── plugin.json └── skills/ └── release-notes/ ├── SKILL.md ├── scripts/changes_since_tag.sh └── references/style.md ``` ```json { "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json", "name": "release-notes-plugin", "version": "1.0.0", "description": "Draft user-facing release notes from Git history." } ``` Portable plugins find skills in `skills/` automatically. Add the plugin to a local marketplace to install it, or run `$plugin-creator` to scaffold the manifest and marketplace entry for you. A plugin can also bundle several related skills, or skills alongside an MCP server, the way the Google Drive plugin combines Drive, Docs, Sheets and Slides skills with its connector. > **plugin:** [Google Drive](https://chatgptplugins.directory/plugins/google-drive): Drive, Docs, Sheets or Slides Publishing it to the directory is covered in [Publish a ChatGPT plugin](/tutorials/publish-a-chatgpt-plugin). ## Troubleshooting | Problem | Fix | | --- | --- | | Skill doesn't appear | Check the folder location and that `SKILL.md` has both `name` and `description`. Restart Codex. | | Never triggers implicitly | Put trigger phrases at the start of the description, and check `allow_implicit_invocation`. | | Triggers too often | Add "Do not use for…" boundaries to the description. | | Two skills with the same name | Codex doesn't merge them; both appear. Rename one. | | Too many skills installed | The initial skill list is capped at about 2% of the context window, so descriptions get shortened and some skills may be left out. Disable ones you don't use. | To turn a skill off without deleting it, add this to `~/.codex/config.toml` and restart Codex: ```toml [[skills.config]] path = "/path/to/skill/SKILL.md" enabled = false ``` ## Next steps - Browse skill-based plugins in the [plugins directory](/plugins), such as Superpowers. - Install plugins in Codex: [Use plugins and MCP servers in Codex](/tutorials/use-plugins-in-codex). - Give your skill live data with an MCP server: [Build your first ChatGPT app](/tutorials/build-your-first-chatgpt-app). > **plugin:** [Superpowers](https://chatgptplugins.directory/plugins/superpowers): Plan, develop, and debug code ## Listings in this tutorial - [Google Drive](https://chatgptplugins.directory/plugins/google-drive.md): Drive, Docs, Sheets or Slides - [Plugin Eval](https://chatgptplugins.directory/plugins/plugin-eval.md): Start from chat, then evaluate or benchmark locally - [Superpowers](https://chatgptplugins.directory/plugins/superpowers.md): Plan, develop, and debug code --- Source: https://chatgptplugins.directory/tutorials/write-a-skill-for-chatgpt-and-codex · Index: https://chatgptplugins.directory/llms.txt · Independent and community-run. Not affiliated with or endorsed by OpenAI. ChatGPT is a trademark of OpenAI. # ChatGPT plugin and MCP server security checklist > Check these before installing a ChatGPT plugin or MCP server: publisher, OAuth scopes, write actions, prompt injection, data retention and admin controls. Published: 2026-10-03 · Updated: 2026-10-04 · By: Divy Chaurasia · Tags: security, mcp Before you install a ChatGPT plugin or connect an MCP server, check five things: who publishes it, what account access it asks for, which of its tools can change things, where your data goes and how long it is kept, and whether it will read untrusted content that could steer the model. Public plugins in the Plugin Directory go through OpenAI review; MCP servers you add yourself in developer mode or Codex do not, so they deserve more care. None of this is a reason to avoid plugins. It is the same diligence you would apply to any app you grant access to your email or code. Use the checklist below, then read the sections for the reasoning. ## The checklist | # | Check | Where to look | | --- | --- | --- | | 1 | The publisher is who it claims to be | Listing details, publisher domain, source repo | | 2 | You know what the plugin bundles (skills, MCP servers, hooks) | Listing details, plugin repo | | 3 | Requested OAuth scopes match what you need | The consent screen; the service's scope options | | 4 | Write and delete tools need your confirmation | ChatGPT app permissions; Codex approval settings | | 5 | Untrusted content and write tools aren't mixed without review | Your own workflow | | 6 | The privacy policy covers retention and deletion | Listing's privacy policy link | | 7 | Custom MCP servers come from a source you trust | Server URL, repo, package name | | 8 | Secrets live in env vars or OAuth, not in prompts or config files | `config.toml`, API calls | | 9 | Admins have scoped roles and actions | Workspace plugin controls | | 10 | You disconnect what you no longer use | Plugin page and app connections | ## 1. Verify the publisher In our directory, listings marked official come from the company behind the product or from OpenAI. In ChatGPT, the Plugin Directory separates plugins built by OpenAI, plugins provided by your workspace, and personal plugins ([OpenAI docs](https://learn.chatgpt.com/docs/plugins)). OpenAI's [plugin guidelines](https://developers.openai.com/plugins/plugin-guidelines) require every public submission to come from a verified individual or organization, and forbid tool descriptions that manipulate which plugin the model picks. That review covers the public directory. It does not cover: - **Community plugins from marketplaces.** Codex can add third-party marketplaces from GitHub. Read the repository first. Trail of Bits, for example, publishes security skills this way. - **MCP servers you add by URL or command.** Check that the URL belongs to the vendor (for example `mcp.sentry.dev` for Sentry) and that a local package name matches the official repo. Our [MCP directory](/mcp) flags archived and deprecated servers. > **plugin:** [Supply Chain Risk Auditor (Trail of Bits)](https://chatgptplugins.directory/plugins/trailofbits-supply-chain-risk-auditor): Audit npm, PyPI and Go dependencies for supply-chain risk ## 2. Know what you are installing A plugin can contain skills, MCP servers and hooks. Each carries a different kind of risk: - **Skills** are instructions, sometimes with helper scripts. Scripts run with whatever permissions the host gives them. - **MCP servers** call external services with your account. - **Hooks** run commands at set points in the Codex runtime. OpenAI's docs tell you to review hooks and decide whether you trust them before they run. Plugins marked **Desktop only** run in the ChatGPT desktop app, where some can reach local files or apps. Apple Messages, for instance, can read and send messages on your Mac once you grant macOS permissions. ## 3. Check permissions and OAuth scopes When a plugin asks you to connect an account, the consent screen shows what it can access. Ask whether each scope is needed for what you will use it for. Many services let you narrow access: - GitHub's [MCP server](/mcp/github) lets you enable toolsets selectively. - Supabase's [MCP server](/mcp/supabase) supports read-only mode and limiting access to one project. - Linear offers a read-only MCP endpoint; Neon supports read-only mode and project scoping. - In Codex, `codex mcp login --scopes read` requests only the scopes you list ([Codex MCP docs](https://learn.chatgpt.com/docs/extend/mcp)). > **MCP server:** [Supabase](https://chatgptplugins.directory/mcp/supabase): Manage Supabase databases, migrations, edge functions and logs Two details that often confuse people: - **Sign in with ChatGPT** shares only your name, email address and profile picture with the partner. It does not grant access to your data or approve actions; that is a separate step. - **Which identity is used.** A personal connection uses your account. In workspaces, a shared connection uses the connected account's permissions, which may be broader than yours. Check before you run actions. ## 4. Control write actions The biggest practical risk is a tool that changes something: sends an email, merges a PR, issues a refund, deletes a record. **In ChatGPT:** - Since June 2026 you can choose when connected apps ask for permission: always, before making changes, or only before important changes. Business and Enterprise admins set workspace defaults ([OpenAI changelog](https://developers.openai.com/plugins/changelog)). - In developer mode, write tools ask for confirmation by default, and any tool without a `readOnlyHint` annotation is treated as a write ([developer mode guide](https://developers.openai.com/api/docs/guides/developer-mode)). Expand a tool call to see the exact JSON it will send. - Be careful with persistent approvals. OpenAI's docs warn that choosing **Always allow sending to this chat** for Apple Messages means you no longer get a last look at each message before it goes out. **In Codex:** set approvals per server or per tool in `~/.codex/config.toml` with `default_tools_approval_mode` or `tools..approval_mode`, and limit tools with `enabled_tools` and `disabled_tools`. ```toml [mcp_servers.github] url = "https://api.githubcopilot.com/mcp/" bearer_token_env_var = "GITHUB_PAT" # token stays in your environment default_tools_approval_mode = "writes" # ask before write tools disabled_tools = ["merge_pull_request"] ``` **In the OpenAI API:** the Responses API `mcp` tool takes `require_approval` and `allowed_tools`, so only the tools you list are imported ([MCP guide](https://developers.openai.com/api/docs/guides/tools-connectors-mcp)). See [Use MCP in the OpenAI API](/tutorials/mcp-in-the-openai-api). Approvals matter more as work becomes unattended. ChatGPT Work tasks, dots and MCP Events can run tools without you watching each step ([DevDay notes](/blog/devday-2026-what-it-means-for-plugin-builders)). ## 5. Plan for prompt injection Prompt injection happens when content the model reads (an email, a web page, a GitHub issue, a document comment) contains instructions that the model follows. OpenAI's developer mode docs call out prompt injection, destructive writes and malicious servers as the main risks, and its [security guidance for builders](https://developers.openai.com/plugins/guides/security-privacy) tells them to "assume prompt injection and malicious inputs will reach your server." You can't remove the risk, but you can contain it: - **Separate reading from acting.** A session that reads your inbox and can also send email or push code is the riskiest combination. Keep confirmations on for those writes. - **Read before you approve.** A confirmation is only useful if you check the recipient, repository or amount. - **Be wary of public inputs.** Issues and pull requests on public repos, inbound support tickets and scraped web pages are all written by people you don't know. ## 6. Know where data goes and how long it stays When ChatGPT sends data through an MCP server, that service's terms and privacy policy apply ([OpenAI docs](https://learn.chatgpt.com/docs/plugins)). OpenAI requires public plugins to publish a privacy policy covering the data collected, its purposes, recipients and retention timelines, and you can review it before installing ([plugin guidelines](https://developers.openai.com/plugins/plugin-guidelines)). On the ChatGPT side, OpenAI's [admin guidance](https://learn.chatgpt.com/docs/enterprise/apps-and-connectors) distinguishes non-synced connections (data processed transiently and not indexed) from synced connections (content indexed in advance), and says information accessed through these connections is not used for model training for Business, Enterprise and Edu customers. Normal chat retention still applies, and those conversations remain available through the Compliance API. One easy-to-miss point: **uninstalling a plugin doesn't disconnect its MCP integrations.** Separately connected integrations stay connected until you disconnect them. ## 7. Treat custom MCP servers like dependencies Adding your own MCP server, through developer mode in ChatGPT or `codex mcp add`, gives you full control and full responsibility. OpenAI labels developer mode as elevated risk. - **Prefer the vendor's hosted server** with OAuth over a third-party wrapper that asks for an API key. - **Pin local servers.** `npx -y package` fetches whatever version is current each time. Pin a version for anything with access to real accounts. - **Keep secrets out of config files and prompts.** Use `bearer_token_env_var` in Codex, or OAuth with `codex mcp login`. In the Responses API, the `authorization` field is sent per request and not stored by OpenAI. - **Keep private servers private.** Secure MCP Tunnel connects an on-premises server to ChatGPT, Codex or the API without exposing it publicly ([guide](https://developers.openai.com/api/docs/guides/secure-mcp-tunnels)). - **Test before you trust.** Use [MCP Inspector](/tutorials/test-mcp-server-with-inspector) to see which tools a server exposes and what they return. Step-by-step setup: [Add an MCP server to ChatGPT](/tutorials/add-mcp-server-to-chatgpt). ## 8. For workspace admins OpenAI's admin docs describe a chain of controls: whether a plugin is available to a role, whether its MCP server is enabled, which actions are allowed, and what the connected service itself permits ([plugin controls](https://learn.chatgpt.com/docs/enterprise/apps-and-connectors)). Practical steps from that guidance: - **Start with read actions.** Where a connection supports **Action control**, allow read-only actions or an approved custom set, and decide how newly added actions are handled. - **Document each connection:** business owner, permitted data, approved actions, authentication method, and a removal contact. - **Test with a least-privilege account** before enabling writes for everyone. - **Review marketplace syncs.** A GitHub marketplace imported into the workspace syncs daily and imports new plugins automatically, so review repository changes before they merge ([plugin management](https://learn.chatgpt.com/docs/enterprise/plugin-management)). - **Set agent policies.** Agent Security, announced at DevDay 2026, controls which tools agents can use and how they access files and the network ([Agent Security](https://learn.chatgpt.com/docs/enterprise/agent-security)). For code itself, OpenAI's Codex Security plugin scans repositories and proposes fixes. > **plugin:** [Codex Security](https://chatgptplugins.directory/plugins/codex-security): Security scanning for your codebase ## Red flags Skip or investigate a plugin or server if: - The publisher name doesn't match the domain or repository. - It asks for full account access when you only need lookups. - It wants an API key pasted into chat. - Tool descriptions are vague about what they change. - There is no privacy policy, or it says nothing about retention. - A local server's package was published recently by an unknown account with a name close to a well-known one. Most of the plugins in [/plugins](/plugins) and [/apps](/apps) come from the companies whose products they connect to. With scoped access and confirmations on, they are safe to use for everyday work. To get started, see [How to install plugins in ChatGPT](/tutorials/install-plugins-in-chatgpt), or for terminology, [Plugins vs apps vs MCP servers vs skills](/blog/plugins-vs-apps-vs-mcp-servers-vs-skills). ## Listings in this post - [GitHub](https://chatgptplugins.directory/mcp/github.md): Manage repos, issues, pull requests and Actions from your AI agent - [Supabase](https://chatgptplugins.directory/mcp/supabase.md): Manage Supabase databases, migrations, edge functions and logs - [Codex Security](https://chatgptplugins.directory/plugins/codex-security.md): Security scanning for your codebase - [Supply Chain Risk Auditor (Trail of Bits)](https://chatgptplugins.directory/plugins/trailofbits-supply-chain-risk-auditor.md): Audit npm, PyPI and Go dependencies for supply-chain risk --- Source: https://chatgptplugins.directory/blog/chatgpt-plugin-security-checklist · Index: https://chatgptplugins.directory/llms.txt · Independent and community-run. Not affiliated with or endorsed by OpenAI. ChatGPT is a trademark of OpenAI. # The best ChatGPT plugins for developers (October 2026) > 12 ChatGPT and Codex plugins and MCP servers worth installing as a developer: GitHub, Linear, Sentry, Vercel, Supabase, Stripe, Figma, Context7 and more. Published: 2026-10-03 · Updated: 2026-10-04 · By: Divy Chaurasia · Tags: roundup, developers The best ChatGPT plugins for developers in October 2026 are **GitHub** and **Linear** for code and issues, **Sentry** for production errors, **Vercel**, **Supabase** and **Cloudflare** for deploying and running apps, **Stripe** for payments, **Figma** for design-to-code, **Codex Security** and **CodeRabbit** for review, plus two MCP servers that every coding agent benefits from: **Context7** for current docs and **Playwright** for browser testing. All of them work in Codex, and most also work in ChatGPT, because both products share one Plugin Directory. Below is what each one does, what it bundles, and when to pick it. ## How we picked We looked at the developer listings in our [plugin](/plugins) and [MCP](/mcp) directories and favoured: - **Official publishers.** Every pick is built by the company behind the product or by OpenAI, except where noted. - **Plugins that bundle skills with the connection.** A plugin that includes workflows (how to triage CI, how to write a migration) tends to be more useful than a bare connection. - **Clear scope.** Tools you can limit to read-only or to one project score higher. We have not run benchmarks. These are recommendations based on what each listing contains, as of October 4, 2026. ## The list at a glance | Pick | Type | Best for | Bundles | | --- | --- | --- | --- | | GitHub | Plugin | PR triage, CI failures, publishing changes | App connection, MCP config, skills | | Linear | Plugin | Issues, cycles, project updates | App connection, MCP config | | Sentry | Plugin + MCP | Investigating production errors | Skill (plugin); OAuth server (MCP) | | Vercel | Plugin | Next.js, AI SDK, deployments | Many skills, app connection | | Supabase | Plugin | Postgres, auth, edge functions | App connection, skills | | Stripe | Plugin | Payments integration and account data | App connection, skills | | Figma | Plugin | Implementing designs in code | App connection, skills | | Cloudflare | Plugin | Workers, Wrangler, MCP servers on Cloudflare | Skills, Cloudflare API MCP server | | Codex Security | Plugin | Security scans and fix proposals | Skills, app connection, MCP config | | CodeRabbit | Plugin | Reviewing local changes before a PR | Skill | | Context7 | MCP server | Up-to-date library documentation | Remote or local server | | Playwright | MCP server | Driving a real browser in tests | Local server | To install plugins, see [How to install plugins in ChatGPT](/tutorials/install-plugins-in-chatgpt) or [Use plugins in Codex](/tutorials/use-plugins-in-codex). In the Codex CLI, `/plugins` opens the plugin browser. For the two MCP servers, see [Add an MCP server to ChatGPT](/tutorials/add-mcp-server-to-chatgpt). ## 1. GitHub The GitHub plugin, built and maintained by OpenAI, combines a GitHub connection with a CLI workflow for inspecting repositories, triaging pull requests and issues, debugging CI and publishing changes. It is a good default for "why is CI failing on my branch?" or "triage the open PRs on this repo." OpenAI notes that its first-party GitHub app is required for some features, including Codex. If you want more control over exactly which tools are exposed, GitHub's own [MCP server](/mcp/github) lets you enable toolsets selectively. > **plugin:** [GitHub](https://chatgptplugins.directory/plugins/github): Triage PRs, issues, CI, and publish flows ## 2. Linear Linear's official plugin searches, creates and updates issues, projects and initiatives, and can draft PRDs and project updates. Use it to turn a bug found in a coding session into a ticket, or to ask what is in your team's current cycle. It is backed by Linear's hosted MCP server, which also offers a read-only endpoint if you only want lookups. > **plugin:** [Linear](https://chatgptplugins.directory/plugins/linear): Plan and build products ## 3. Sentry There are two ways to bring Sentry in. The **plugin** is built by OpenAI and wraps a Sentry skill for inspecting recent issues and events, which is handy for "which errors spiked after the last release?" The **[Sentry MCP server](/mcp/sentry)**, run by Sentry at `mcp.sentry.dev`, uses OAuth, can be scoped to an organization or project, and searches issues, events and traces. If you want both the workflow and Sentry's full tool set, use the two together. > **plugin:** [Sentry](https://chatgptplugins.directory/plugins/sentry): Inspect recent Sentry issues and events ## 4. Vercel Vercel's plugin is one of the largest in the catalog. It bundles skills for Next.js, the AI SDK, AI Gateway, deployments and CI/CD, environment variables, functions, storage, firewall, feature flags and Turborepo, plus the Vercel app connection. Ask it to audit a repo for deployment risks, explain a failing build or roll back a deploy. > **plugin:** [Vercel](https://chatgptplugins.directory/plugins/vercel): Build and deploy web apps and agents ## 5. Supabase The Supabase plugin combines the Supabase app (run SQL, design schemas, deploy edge functions, configure auth, read logs) with skills for Supabase and Postgres best practices. A useful prompt: "Review my Supabase schema and RLS policies for security issues." For tighter control in Codex, Supabase's [MCP server](/mcp/supabase) supports read-only mode and project scoping through URL parameters. > **plugin:** [Supabase](https://chatgptplugins.directory/plugins/supabase): Manage and query databases ## 6. Stripe Stripe's plugin pairs the Stripe app (customers, products, prices, payment links, subscriptions, invoices, refunds and disputes) with skills such as Stripe best practices, docs search and upgrade guidance. It is useful both for building an integration and for checking account data. Because it can act on real money, connect a test-mode account while you develop and review every write. Stripe's [MCP server](/mcp/stripe) requires human confirmation for sensitive writes such as refunds. > **plugin:** [Stripe](https://chatgptplugins.directory/plugins/stripe): Accept payments. Grow revenue. ## 7. Figma Figma's plugin bundles the Figma connection with Figma's own skills for design-to-code, Code Connect templates, design system generation, FigJam and more. Point it at a frame and ask Codex to implement it, or generate Code Connect mappings for your component library. We use Figma to explain how plugins, apps and MCP servers differ in [this explainer](/blog/plugins-vs-apps-vs-mcp-servers-vs-skills). > **plugin:** [Figma](https://chatgptplugins.directory/plugins/figma): Figma design-to-code workflows ## 8. Cloudflare Cloudflare's plugin includes curated skills for Workers, Wrangler, Durable Objects, the Agents SDK, the Sandbox SDK and building MCP servers, plus the official Cloudflare API MCP server. It helps with "which Cloudflare product fits this?" and with deploying a Worker. If you only need documentation lookups, the separate [Cloudflare Docs MCP server](/mcp/cloudflare-docs) needs no authentication. > **plugin:** [Cloudflare](https://chatgptplugins.directory/plugins/cloudflare): Cloudflare platform guidance with official MCP ## 9. Codex Security OpenAI's Codex Security plugin runs security scans, diff scans and deep scans, builds threat models, triages findings, proposes and verifies fixes, and writes up vulnerabilities. Run a diff scan on a branch before you open a PR. At DevDay 2026 OpenAI added Codex Security Cloud, which scans connected GitHub repositories through a plugin; it is in research preview ([DevDay notes](/blog/devday-2026-what-it-means-for-plugin-builders)). > **plugin:** [Codex Security](https://chatgptplugins.directory/plugins/codex-security): Security scanning for your codebase ## 10. CodeRabbit CodeRabbit's plugin ships a review skill that runs on your current or staged changes: "Review this branch before I open a PR." It is lighter than a full security scan and useful as a second pass on everyday changes. > **plugin:** [CodeRabbit](https://chatgptplugins.directory/plugins/coderabbit): Run AI-powered code review for your current changes ## 11. Context7 (MCP server) Coding agents often reach for APIs that changed two versions ago. Context7, from Upstash, serves current, version-specific documentation and examples for thousands of libraries. It runs as a hosted server at `mcp.context7.com` or a local npm package, and uses a Context7 API key. OpenAI's own Codex MCP docs use it as an example: `codex mcp add context7 -- npx -y @upstash/context7-mcp`. > **MCP server:** [Context7](https://chatgptplugins.directory/mcp/context7): Pull up-to-date, version-specific library docs into your coding agent ## 12. Playwright (MCP server) Microsoft's Playwright MCP server lets an agent drive a real browser through accessibility snapshots rather than screenshots: navigate, click, fill forms, read console messages and network requests, across Chromium, Firefox and WebKit. It runs locally (stdio), so use it from Codex or the ChatGPT desktop app, not ChatGPT on the web. Google's [Chrome DevTools MCP server](/mcp/chrome-devtools) is an alternative when you need performance traces and Lighthouse audits. > **MCP server:** [Playwright MCP](https://chatgptplugins.directory/mcp/playwright): Browser automation for agents via Playwright accessibility snapshots ## Also worth a look - **[Expo](/plugins/expo):** official skills for building, upgrading and deploying Expo and React Native apps. - **[OpenAI Developers](/plugins/openai-developers):** skills for the Agents SDK, building and submitting ChatGPT apps, and API troubleshooting. - **[PostHog](/plugins/posthog):** product analytics, feature flags and error tracking from your agent. - **[Superpowers](/plugins/superpowers):** a community skills plugin (by Jesse Vincent, listed in the curated Codex marketplace) for planning, test-driven development and systematic debugging. - **[Trail of Bits supply-chain auditor](/plugins/trailofbits-supply-chain-risk-auditor):** community security skills that audit npm, PyPI and Go dependencies; installs through Codex's marketplace support. ## Before you connect Most of these plugins can write: open PRs, change issues, deploy, issue refunds. Start with read-only scopes where the service offers them, keep confirmations on for writes, and connect test or staging accounts first. Our [plugin security checklist](/blog/chatgpt-plugin-security-checklist) goes through each step. Building your own developer tool? Start with [Build your first ChatGPT app](/tutorials/build-your-first-chatgpt-app), add a skill with [Write a skill for ChatGPT and Codex](/tutorials/write-a-skill-for-chatgpt-and-codex), and test with [MCP Inspector](/tutorials/test-mcp-server-with-inspector). For non-coding picks, see [The best ChatGPT plugins for everyday work](/blog/best-chatgpt-plugins-for-everyday-work). ## Listings in this post - [GitHub](https://chatgptplugins.directory/plugins/github.md): Triage PRs, issues, CI, and publish flows - [Linear](https://chatgptplugins.directory/plugins/linear.md): Plan and build products - [Sentry](https://chatgptplugins.directory/plugins/sentry.md): Inspect recent Sentry issues and events - [Vercel](https://chatgptplugins.directory/plugins/vercel.md): Build and deploy web apps and agents - [Supabase](https://chatgptplugins.directory/plugins/supabase.md): Manage and query databases - [Stripe](https://chatgptplugins.directory/plugins/stripe.md): Accept payments. Grow revenue. - [Figma](https://chatgptplugins.directory/plugins/figma.md): Figma design-to-code workflows - [Cloudflare](https://chatgptplugins.directory/plugins/cloudflare.md): Cloudflare platform guidance with official MCP - [Codex Security](https://chatgptplugins.directory/plugins/codex-security.md): Security scanning for your codebase - [CodeRabbit](https://chatgptplugins.directory/plugins/coderabbit.md): Run AI-powered code review for your current changes - [Context7](https://chatgptplugins.directory/mcp/context7.md): Pull up-to-date, version-specific library docs into your coding agent - [Playwright MCP](https://chatgptplugins.directory/mcp/playwright.md): Browser automation for agents via Playwright accessibility snapshots --- Source: https://chatgptplugins.directory/blog/best-chatgpt-plugins-for-developers · Index: https://chatgptplugins.directory/llms.txt · Independent and community-run. Not affiliated with or endorsed by OpenAI. ChatGPT is a trademark of OpenAI. # DevDay 2026: what it means for plugin builders > Plugin Extensions, MCP Events, Sign in with ChatGPT, dots and new admin controls: the DevDay 2026 announcements that matter if you build or use plugins. Published: 2026-09-30 · Updated: 2026-10-04 · By: Divy Chaurasia · Tags: news, devday For people who build or use ChatGPT plugins, the two DevDay 2026 announcements that matter most are **Plugin Extensions**, which let a plugin add sidebar apps, side panels, file viewers and editors, and richer forms to ChatGPT, and **MCP Events**, which let ChatGPT subscribe to updates from your MCP server and act on them. Around those sit Sign in with ChatGPT, plugins inside Sites, always-on agents called dots, and new workspace controls for admins. OpenAI held DevDay on September 29, 2026 in San Francisco and listed more than 20 announcements ([DevDay 2026 recap](https://openai.com/index/devday-2026-recap)). This post is based on OpenAI's [DevDay 2026 page in the ChatGPT docs](https://learn.chatgpt.com/docs/whats-new/devday-2026), the developer documentation linked from it, and live coverage from [Simon Willison](https://simonwillison.net/2026/Sep/29/openai-devday-2026-live-blog/) and [Latent Space](https://www.latent.space/p/ainews-openai-devday-2026-dots-61). Where coverage and docs disagree, we say so. ## The announcements that affect plugins | Announcement | What it does | Status at launch | Docs | | --- | --- | --- | --- | | Plugin Extensions | Sidebar apps, conversation panels, file viewers/editors, settings, rich forms | Available; Free and Go web support coming soon | [Build extensions](https://developers.openai.com/plugins/build/extensions) | | MCP Events | ChatGPT subscribes to server events via webhooks and acts on them | Requires MCP 2.0; Work chats and dots | [MCP Events](https://developers.openai.com/plugins/build/mcp-events) | | Sign in with ChatGPT | Users sign in to your app with ChatGPT; eligible Plus and Pro users can use their plan for AI requests | Commercial sign-in in limited trial | [Quickstart](https://developers.openai.com/siwc/quickstart) | | Sites with connected data | A Site can use each visitor's own connected plugins | Workspace-private Sites, where enabled | [Sites docs](https://learn.chatgpt.com/docs/sites#load-visitor-data-via-plugins) | | Dots | Always-on agents that work across connected apps | Rolling out gradually | [Dots](https://learn.chatgpt.com/docs/dots) | | Workspace connections, Team Tasks, Agent Security | Company-managed accounts, service-account tasks, tool and network policies | Enterprise features | [Agent Security](https://learn.chatgpt.com/docs/enterprise/agent-security) | | Codex Security Cloud | Scans connected GitHub repos via a plugin | Research preview | [Setup](https://learn.chatgpt.com/docs/security/setup) | ## Plugin Extensions: plugins that look like apps Until DevDay, a plugin's UI lived inside the conversation as a widget under a tool call. Plugin Extensions add new places for that UI. OpenAI's [extension reference](https://developers.openai.com/plugins/build/extensions) lists: - **Sidebar apps:** an entry in the global sidebar that opens your app fullscreen. - **Conversation panels:** your app opens beside a chat. - **File viewers and editors:** your app opens files with supported extensions, with reading, live updates and saving handled together. - **Plugin settings:** product-specific settings inside ChatGPT. - **Rich forms:** structured input, including choosing from images, returned to your tool. - **Composer mentions:** users find and @-mention your content in the composer. Desktop app only. - **Display modes, deep links, Model-App Context and plugin onboarding.** Extensions are declared in tool metadata. A sidebar entry, for example, adds an `"openai/ui"` block with `entrypoints: [{ type: "global" }]` next to the standard `ui.resourceUri`; `{ type: "thread" }` puts it in the conversation side panel, and `{ type: "file", extensions: [...] }` registers a file viewer. OpenAI publishes TypeScript and Python SDKs and a protocol spec in [openai/mcp-extensions](https://github.com/openai/mcp-extensions), plus a sample plugin called Bits & Bolts. The docs point to three early adopters. Canva uses sidebar tabs, Figma uses composer mentions, and Adobe uses file handlers to edit files with Acrobat and Photoshop in ChatGPT. > **app:** [Canva](https://chatgptplugins.directory/apps/canva): Create, resize, edit and review Canva designs from a chat > **app:** [Figma](https://chatgptplugins.directory/apps/figma): Create designs, diagrams and FigJam boards and ship them to code > **app:** [Adobe](https://chatgptplugins.directory/apps/adobe): Edit photos, videos and documents across Creative Cloud and Acrobat **What to keep in mind:** - Extensions build on the open MCP Apps standard. OpenAI's guidance is still to implement the portable standard first and add ChatGPT-specific features with feature detection and fallbacks. - Extensions on the web are not yet available to Free and Go users. If your audience is broad, your plugin must still work without them. - For rich forms, OpenAI-registered MCP servers need to support MCP's multi-round-trip request pattern. ## MCP Events: from request-response to subscriptions Plugins have always waited for the user to ask. With [MCP Events](https://developers.openai.com/plugins/build/mcp-events), a user can tell ChatGPT what to watch ("monitor #product-feedback for bug reports and open draft pull requests") and ChatGPT subscribes through your server. How it works, per OpenAI's docs: 1. Your server advertises an `events` capability and implements `events/list`, `events/subscribe` and `events/unsubscribe` on the same authenticated endpoint as your tools. 2. When a user asks to monitor something, ChatGPT calls `events/subscribe` with filters, a callback URL and a signing secret. 3. Your server verifies the callback with a signed challenge, then delivers matching events by webhook. 4. ChatGPT handles the event in the subscribed chat, following the user's instructions. **Requirements and limits:** - MCP Events in ChatGPT requires **MCP 2.0** (protocol version `2026-07-28`). - ChatGPT supports webhook delivery from the **draft** MCP Events specification. Polling, streaming and some draft control notifications are not supported. - It is available in Work chats on the web, in desktop Work chats with Cloud selected, and with dots. Workspace controls for event-triggered tasks apply. - Your server needs persistent subscription storage and outbound HTTPS to callback URLs, and must check that the user is allowed to see each event before subscribing them. Because the spec is a draft, expect changes. Treat this as something to prototype, not something to bet a launch on. ## Sign in with ChatGPT [Sign in with ChatGPT](https://developers.openai.com/siwc/quickstart) lets users create or link an account in your service with their ChatGPT identity, and lets eligible Plus and Pro users put AI requests in your app on their ChatGPT plan. At launch, commercial sign-in is a limited trial with selected partners, and plan usage is limited to open-source partners and selected private clients. Simon Willison's reaction in his live blog: "I've wanted this one for years!" Inside ChatGPT, the [plugins docs](https://learn.chatgpt.com/docs/plugins) say it is rolling out in beta for plugins including Airtable, GitLab, HubSpot, Notion, Supabase and Vercel. Signing in shares only name, email address and profile picture; it does not grant the plugin access to data or approve actions. For builders, it removes one step (account creation) from plugin onboarding, but you still need your own OAuth scopes for data access. ## Dots and agents that call your tools [Dots](https://learn.chatgpt.com/docs/dots) are always-on agents: you give one a goal and define what it can do on its own, and it works across connected apps on its own computer, reporting back for review. They are rolling out gradually to eligible accounts. For plugin builders, this changes who calls your tools. A dot may run your tools when no one is watching each step. That makes the basics more important: accurate `readOnlyHint` and `destructiveHint` annotations, server-side input validation, and narrow scopes. Our [security checklist](/blog/chatgpt-plugin-security-checklist) covers what users and admins will look for. ## Admin and enterprise controls Several enterprise announcements decide whether a workspace can use your plugin at all: - **Workspace connections** connect company-managed accounts; each connection uses the connected account's permissions. - **Team Tasks** run scheduled or event-triggered work through a team's service account and approved connections. - **Agent Security** lets admins control which tools agents can use and how they access files and the network. - **ChatGPT in Slack and Teams** brings ChatGPT into approved channels with the deployment's connected tools. If you sell to businesses, document which identity your plugin acts as (personal, shared or service account) and which actions are read-only. ## Codex and models - **Codex Security Cloud** scans connected GitHub repositories or monitors new commits through a Security Cloud plugin, in research preview. The existing Codex Security plugin is in our catalog. - **Reusable cloud environments** let Codex prepare and publish a dev setup that new tasks start from. - **GPT-6.1 Sol** offers near-Astra performance at one-fifth of GPT-6 Astra's standard API token prices, according to [OpenAI's launch post](https://openai.com/index/introducing-gpt-6-1-sol). If your plugin or agent backend calls the API, it is worth benchmarking. > **plugin:** [Codex Security](https://chatgptplugins.directory/plugins/codex-security): Security scanning for your codebase ## What was less clear - **"Marketplace."** Simon Willison's live notes record OpenAI launching an "OpenAI Marketplace" with a set of launch partners during the keynote. Other write-ups describe a B2B channel where enterprises can apply part of an existing OpenAI commitment to approved partner products ([Rohit AI](https://rohitai.com/blog/openai-plugin-marketplace-sign-in-chatgpt)), and [Latent Space](https://www.latent.space/p/ainews-openai-devday-2026-dots-61) mentions commitments applied to open models via Baseten. It does not appear on OpenAI's DevDay docs page, and nothing we found ties it to the Plugin Directory. We will update this when OpenAI documents it. - **Plan availability for dots.** Third-party coverage lists specific tiers; OpenAI's page says only "eligible accounts." ## What to do this week 1. **Read the extension reference** and decide if a sidebar app, panel or file viewer fits your product. Most plugins need none. 2. **Check your MCP version.** MCP Events needs MCP 2.0; plan the upgrade if you want event triggers. 3. **Audit tool annotations** before agents like dots call your tools unattended. 4. **Add skills** so ChatGPT and Codex use your tools correctly. See [Write a skill for ChatGPT and Codex](/tutorials/write-a-skill-for-chatgpt-and-codex). 5. **Test locally** with [MCP Inspector](/tutorials/test-mcp-server-with-inspector), then [publish your plugin](/tutorials/publish-a-chatgpt-plugin). New to the platform? Start with [Plugins vs apps vs MCP servers vs skills](/blog/plugins-vs-apps-vs-mcp-servers-vs-skills) and [Build your first ChatGPT app](/tutorials/build-your-first-chatgpt-app). Browse plugins at [/plugins](/plugins). ## Listings in this post - [Canva](https://chatgptplugins.directory/apps/canva.md): Create, resize, edit and review Canva designs from a chat - [Figma](https://chatgptplugins.directory/apps/figma.md): Create designs, diagrams and FigJam boards and ship them to code - [Adobe](https://chatgptplugins.directory/apps/adobe.md): Edit photos, videos and documents across Creative Cloud and Acrobat - [Codex Security](https://chatgptplugins.directory/plugins/codex-security.md): Security scanning for your codebase --- Source: https://chatgptplugins.directory/blog/devday-2026-what-it-means-for-plugin-builders · Index: https://chatgptplugins.directory/llms.txt · Independent and community-run. Not affiliated with or endorsed by OpenAI. ChatGPT is a trademark of OpenAI. # Plugins vs apps vs MCP servers vs skills: what's the difference? > How ChatGPT plugins, apps, MCP servers and skills relate, with a comparison table and a quick guide to which one you need as a user or a builder. Published: 2026-09-22 · Updated: 2026-10-04 · By: Divy Chaurasia · Tags: explainer, mcp, skills An **MCP server** is the service that exposes tools and data to an AI client. An **app** is an MCP server that has been connected to ChatGPT, optionally with its own interface. A **skill** is a folder of instructions (a `SKILL.md` file) that teaches the model how to do a specific job. A **plugin** is the installable package that bundles any of these, and it is what you find in the ChatGPT and Codex Plugin Directory. Most confusion comes from the fact that these are layers, not alternatives: a plugin often contains an app, which is built on an MCP server, plus a few skills. The rest of this post defines each one, shows how they fit together, and helps you decide which one you need. ## The four concepts at a glance | | MCP server | App | Skill | Plugin | | --- | --- | --- | --- | --- | | What it is | A server speaking the Model Context Protocol | An integration in ChatGPT, built on an MCP server | Instructions and resources for one kind of task | An installable bundle | | What it contains | Tools, auth, optional UI resources | MCP server + optional UI + listing metadata | `SKILL.md`, plus optional scripts, references, assets | Skills, MCP servers/apps, app templates, hooks | | Does it run code? | Yes, on a server or your machine | Yes, through its MCP server | Only if it ships helper scripts | Depends on what it bundles | | Where it works | Any MCP client: ChatGPT developer mode, Codex, the OpenAI API, other agents | ChatGPT, and Codex through plugins | Codex, ChatGPT, the OpenAI API, other agents that support skills | ChatGPT (Chat and Work) and Codex | | Who usually builds it | The service provider or a developer | The service provider | Anyone who can write Markdown | The provider, OpenAI, or a team | | How you get it | Add a URL or command to your client | Install from the Plugin Directory | Install via Codex, a plugin, or copy a folder | Install from the Plugin Directory or a marketplace | | Old name | n/a | Connector (until December 2025) | n/a | n/a (the 2023 "plugins" were a different system) | ## MCP servers: the plumbing The [Model Context Protocol](https://modelcontextprotocol.io/) is an open standard for connecting AI clients to tools and data. An MCP server lists the tools it offers (with names, descriptions and input schemas), runs them when the client calls them, and handles authentication, usually OAuth for hosted servers. MCP servers come in two transport flavours: - **Remote (Streamable HTTP):** hosted at a URL such as `https://mcp.linear.app/mcp`. This is what ChatGPT connects to. - **Local (stdio):** a command that runs on your machine, such as the Playwright browser-automation server. Codex and the ChatGPT desktop app can run these; ChatGPT on the web cannot. An MCP server is not tied to ChatGPT. The same server works in Codex, in the [Responses API `mcp` tool](https://developers.openai.com/api/docs/guides/tools-connectors-mcp), and in other MCP clients. Our [MCP directory](/mcp) lists more than 140 of them. To connect one yourself, see [Add an MCP server to ChatGPT](/tutorials/add-mcp-server-to-chatgpt) or [Use MCP in the OpenAI API](/tutorials/mcp-in-the-openai-api). ## Apps: an MCP server inside ChatGPT An app is how an MCP server shows up for ChatGPT users. It adds a listing (name, description, icon), goes through OpenAI's review if it is public, and can render an interface in the conversation: a map of hotels, a playlist, a design preview. Custom UI is optional. ChatGPT implements the open [MCP Apps](https://apps.extensions.modelcontextprotocol.io/api/) UI standard, where a tool points to a UI resource with `_meta.ui.resourceUri`, and adds ChatGPT-only extras through `window.openai`, such as checkout, file uploads and modals ([OpenAI docs](https://developers.openai.com/plugins/build/chatgpt-ui)). Before December 17, 2025, data-only integrations such as Gmail or Google Drive were called **connectors**. OpenAI [renamed connectors to apps](https://help.openai.com/en/articles/11487775) so one word covers both. And since July 9, 2026, every app in the directory is packaged inside a plugin ([details](/blog/app-directory-is-now-the-plugin-directory)). If you want to build one, start with [Build your first ChatGPT app](/tutorials/build-your-first-chatgpt-app) and test it with [MCP Inspector](/tutorials/test-mcp-server-with-inspector). ## Skills: instructions the model loads when needed A skill is a folder containing a `SKILL.md` file with YAML front matter (`name` and `description`) and Markdown instructions. It can also carry `scripts/`, `references/` and `assets/` folders ([OpenAI skills docs](https://learn.chatgpt.com/docs/build-skills)). Skills follow the open [Agent Skills](https://agentskills.io) format, so the same folder can work across agents that support it. Skills use **progressive disclosure**: at first the model sees only each skill's name and description. It loads the full instructions only when a task matches. That keeps dozens of installed skills from crowding the context. A skill does not connect to anything by itself. It tells the model *how* to do a job (your team's code review checklist, how to format a board report, which Stripe APIs to prefer) using tools it already has. In Codex you invoke one with `$skill-name`; in ChatGPT, with `@`. Want to write one? See [Write a skill for ChatGPT and Codex](/tutorials/write-a-skill-for-chatgpt-and-codex). ## Plugins: the package you install OpenAI describes plugins as "the packages people discover, install, share, and publish in ChatGPT and Codex" ([plugin architecture](https://developers.openai.com/plugins/concepts/plugins)). A plugin can contain: - **Skills** for repeatable workflows - **MCP servers / apps** for tools and data, with optional UI - **Hooks** that run commands at set points in the Codex runtime - **App templates**, according to OpenAI's [help article](https://help.openai.com/en/articles/20001256-plugins-in-chatgpt-and-codex) The docs name four common shapes: skills only, MCP server only, skills plus MCP server, and MCP server with UI. The portable manifest is a `plugin.json` file at the plugin root. ChatGPT and Codex share one directory, and teams can also publish plugins through their own marketplaces. ## One product, three layers: Figma Figma is a good example because it exists at every layer in our catalog. The **MCP server** is Figma's hosted server at `mcp.figma.com`. You can add it to Codex or any MCP client to pull design context into code. > **MCP server:** [Figma](https://chatgptplugins.directory/mcp/figma): Bring Figma design context into code and write designs back to the canvas The **app** is Figma's ChatGPT integration: create FigJam diagrams and design files from a conversation. > **app:** [Figma](https://chatgptplugins.directory/apps/figma): Create designs, diagrams and FigJam boards and ship them to code The **plugin** bundles the Figma app connection with Figma's skills for design-to-code, Code Connect and design system work, so the model knows how to use the tools well, not only that they exist. > **plugin:** [Figma](https://chatgptplugins.directory/plugins/figma): Figma design-to-code workflows Not every plugin has an app. [Superpowers](/plugins/superpowers), a community plugin in the curated Codex marketplace, is skills only: planning, test-driven development and debugging methods, no external service. ## Which one do I need? **"I want ChatGPT to work with a service I use."** Look for a plugin in the [Plugin Directory](/plugins). Install it and connect your account. See [How to install plugins in ChatGPT](/tutorials/install-plugins-in-chatgpt). **"The service has an MCP server but no plugin."** Add the MCP server yourself. In ChatGPT that needs developer mode on an eligible plan; in Codex it is one `codex mcp add` command. See [Add an MCP server to ChatGPT](/tutorials/add-mcp-server-to-chatgpt). Read the [security checklist](/blog/chatgpt-plugin-security-checklist) first: developer mode includes write tools. **"I keep explaining the same process to ChatGPT or Codex."** Write a skill. No server or code needed. **"I'm building an integration for my product."** Build an MCP server, add UI only if it helps, add skills for your main workflows, and package it as a plugin. Then [publish it](/tutorials/publish-a-chatgpt-plugin). **"I'm a developer working in Codex."** Use plugins from the shared directory or a marketplace, and add standalone MCP servers in `~/.codex/config.toml`. See [Use plugins in Codex](/tutorials/use-plugins-in-codex) and our [best plugins for developers](/blog/best-chatgpt-plugins-for-developers). **"I'm calling the OpenAI API, not using ChatGPT."** Plugins don't apply. Pass remote MCP servers to the Responses API `mcp` tool, or mount skills in the hosted shell. See [Use MCP in the OpenAI API](/tutorials/mcp-in-the-openai-api). ## Common mix-ups - **"ChatGPT plugins were discontinued."** The 2023 plugins were, in April 2024. The current plugins are a new system that started in Codex in March 2026 and took over the ChatGPT directory in July 2026. Full story: [What happened to ChatGPT plugins?](/blog/what-happened-to-chatgpt-plugins) - **"An app and an MCP server are the same thing."** Close, but an app adds a ChatGPT listing, review and optional UI. Many MCP servers in our [/mcp](/mcp) directory have no ChatGPT app. - **"Skills are just prompts."** They are closer to playbooks. They can include scripts and reference files, and the model loads them only when relevant. > **Note (October 4, 2026):** DevDay 2026 added two pieces that sit on top of these layers. **Plugin Extensions** let a plugin's app appear as a sidebar app, conversation panel, file viewer or editor, or rich form. **MCP Events** let an MCP server push updates that ChatGPT can act on. See [DevDay 2026: what it means for plugin builders](/blog/devday-2026-what-it-means-for-plugin-builders). ## Listings in this post - [Figma](https://chatgptplugins.directory/plugins/figma.md): Figma design-to-code workflows - [Figma](https://chatgptplugins.directory/apps/figma.md): Create designs, diagrams and FigJam boards and ship them to code - [Figma](https://chatgptplugins.directory/mcp/figma.md): Bring Figma design context into code and write designs back to the canvas - [Superpowers](https://chatgptplugins.directory/plugins/superpowers.md): Plan, develop, and debug code --- Source: https://chatgptplugins.directory/blog/plugins-vs-apps-vs-mcp-servers-vs-skills · Index: https://chatgptplugins.directory/llms.txt · Independent and community-run. Not affiliated with or endorsed by OpenAI. ChatGPT is a trademark of OpenAI. # What happened to ChatGPT plugins? > ChatGPT plugins shut down in 2024, gave way to GPTs, connectors and apps, and came back in 2026 as something new. The full 2023-2026 timeline. Published: 2026-09-15 · Updated: 2026-10-04 · By: Divy Chaurasia · Tags: plugins, history The original ChatGPT plugins, launched in March 2023, were shut down in April 2024 and replaced by GPTs. The name came back on July 9, 2026, when OpenAI replaced the ChatGPT App Directory with the Plugin Directory. A "ChatGPT plugin" today is a package that can bundle skills, apps (MCP-based integrations) and app templates, and the same directory serves ChatGPT and Codex. Same word, different system: nothing built for the 2023 plugin store runs in the 2026 one. This post covers each step between the two and what the word means now. ## The short version | Date | What happened | | --- | --- | | March 23, 2023 | [ChatGPT plugins](https://openai.com/index/chatgpt-plugins) announced as a limited alpha | | May 2023 | Plugins and web browsing open to ChatGPT Plus users as a beta | | November 6, 2023 | [GPTs](https://openai.com/index/introducing-gpts) announced at the first DevDay | | January 10, 2024 | [GPT Store](https://openai.com/index/introducing-the-gpt-store) opens | | March 19, 2024 | No new plugin installs or new plugin conversations | | April 9, 2024 | Existing plugin conversations end; the plugins beta is over | | 2025 | Connectors link ChatGPT to Google Drive, GitHub and other services; MCP support arrives, then developer mode | | October 6, 2025 | [Apps in ChatGPT and the Apps SDK](https://openai.com/index/introducing-apps-in-chatgpt) launch at DevDay 2025 | | December 17, 2025 | [Developers can submit apps](https://openai.com/index/developers-can-now-submit-apps-to-chatgpt); connectors are renamed apps | | March 2026 | Plugins arrive in Codex | | July 9, 2026 | The App Directory becomes the Plugin Directory | | September 2026 | OpenAI begins retiring custom GPTs in favour of plugins, starting with Enterprise | ## 2023: the first ChatGPT plugins OpenAI [announced plugins on March 23, 2023](https://openai.com/index/chatgpt-plugins) as tools designed for language models, letting ChatGPT fetch current information, run computations and call third-party services. The launch partners were Expedia, FiscalNote, Instacart, KAYAK, Klarna, Milo, OpenTable, Shopify, Slack, Speak, Wolfram and Zapier ([Voicebot.ai coverage](https://voicebot.ai/2023/03/23/new-chatgpt-plugins-link-present-day-internet-and-third-party-apps-to-generative-ai-chatbot)). OpenAI also ran two plugins of its own: a web browser and a code interpreter. Access started with a waitlist. In May 2023 web browsing and plugins moved to beta for all Plus subscribers, with a plugin store that listed more than 70 third-party plugins at the time ([Gigazine](https://www.gigazine.net/gsc_news/en/20230515-chatgpt-web-browsing-plugin)) and kept growing. Technically, a 2023 plugin was a web API described by an OpenAPI spec plus a small manifest file. ChatGPT read the description and decided when to call the API. In practice the experience was clumsy: you had to pick up to three plugins before starting a chat, quality varied a lot between listings, and nothing in the answer showed you the service's own interface. ## 2024: GPTs replace plugins At DevDay in November 2023 OpenAI introduced [GPTs](https://openai.com/index/introducing-gpts): custom versions of ChatGPT with their own instructions, knowledge files and "actions", which used the same OpenAPI approach as plugins. The [GPT Store](https://openai.com/index/introducing-the-gpt-store) opened on January 10, 2024. Two months later the plugins beta wound down. Per OpenAI's announcement, from March 19, 2024 you could no longer install plugins or start new conversations with them, and existing conversations could continue until April 9, 2024 ([OpenAI community thread quoting the notice](https://community.openai.com/t/plugin-store-and-new-chats-with-plugins-closed-march-19-2024/689877)). GPTs, with actions for calling external APIs, became the place to build what plugins had done. So when people ask "what happened to ChatGPT plugins", the 2024 answer is: they were folded into GPTs. ## 2025: connectors, MCP and apps The next layer was connectors: first-party integrations that let ChatGPT search and reference your data in services such as Google Drive, SharePoint, GitHub and Gmail, in chat and in deep research. During 2025 OpenAI adopted the Model Context Protocol (MCP), an open protocol for connecting AI clients to tools and data. Custom connectors let paid workspaces point ChatGPT at their own remote MCP servers, at first for search and fetch. In September 2025 **developer mode** added full MCP client support, including write actions, behind confirmation prompts ([InfoQ](https://www.infoq.com/news/2025/10/chat-gpt-mcp)). At DevDay on October 6, 2025, OpenAI launched [apps in ChatGPT and the Apps SDK](https://openai.com/index/introducing-apps-in-chatgpt). Apps were built on MCP and could render their own interface inside the conversation. Launch partners included Booking.com, Canva, Coursera, Expedia, Figma, Spotify and Zillow. On December 17, 2025 two things happened. [Developers could submit apps for review](https://openai.com/index/developers-can-now-submit-apps-to-chatgpt), with approved apps listed in a new in-product directory. And OpenAI [renamed connectors to apps](https://help.openai.com/en/articles/11487775), so "app" covered both interactive apps and the older data connectors. ## 2026: plugins return, first in Codex In late March 2026 OpenAI added plugins to Codex, its coding agent ([Unite.AI](https://www.unite.ai/openai-adds-plugin-marketplace-to-codex/)). A Codex plugin bundled skills, app connections and MCP server configuration into one installable unit. OpenAI's own [plugin changelog](https://developers.openai.com/plugins/changelog) notes that approved Apps SDK integrations could be distributed as Codex plugins, and that "at launch, plugins were available only in Codex." Much of the curated catalog lives in the public [openai/plugins](https://github.com/openai/plugins) repository. On July 9, 2026, alongside the launch of [ChatGPT Work](https://openai.com/index/chatgpt-for-your-most-ambitious-work) and a desktop app combining Chat, Work and Codex, OpenAI replaced the App Directory with the Plugin Directory. According to OpenAI's help article [Plugins in ChatGPT and Codex](https://help.openai.com/en/articles/20001256-plugins-in-chatgpt-and-codex), all existing apps were packaged into plugins, and existing app connections kept working. We cover that change in detail in [The App Directory is now the Plugin Directory](/blog/app-directory-is-now-the-plugin-directory). The last piece: on September 11, 2026 OpenAI notified Enterprise admins that custom GPTs are being retired in favour of plugins. The [migration FAQ](https://help.openai.com/en/articles/20001519) lists December 11, 2026 as the date Enterprise GPTs stop running, says the dates may change, and says other plans may follow the same transition ([Virtualization Review summary](https://virtualizationreview.com/articles/2026/09/28/openai-to-retire-custom-gpts-replace-them-with-plugins.aspx)). So plugins replaced by GPTs are now replacing GPTs. ## What "ChatGPT plugin" means today OpenAI's [plugin architecture docs](https://developers.openai.com/plugins/concepts/plugins) describe plugins as "the packages people discover, install, share, and publish in ChatGPT and Codex." A plugin can contain: - **Skills:** folders with a `SKILL.md` file that give the model instructions and resources for a repeatable workflow. - **MCP servers (apps):** services that expose tools, handle authentication and can show optional UI. - **Hooks:** commands that run at set points in the Codex runtime. Some plugins are only skills (for example, a code review method). Others are a thin wrapper around one app. Many combine both. The [GitHub plugin](/plugins/github), for instance, pairs a GitHub connection with workflows for triaging pull requests and debugging CI. | | 2023 plugins | 2026 plugins | | --- | --- | --- | | Built on | OpenAPI spec + manifest | MCP servers, skills, hooks | | Where they run | ChatGPT (Plus beta) | ChatGPT (Chat and Work) and Codex | | Custom UI | No | Optional, through the MCP Apps standard | | Discovery | Plugin store, pick up to 3 per chat | One shared Plugin Directory; invoke with `@` or let ChatGPT choose | | Status | Shut down April 2024 | Current | For a detailed breakdown of how plugins, apps, MCP servers and skills relate, read [Plugins vs apps vs MCP servers vs skills](/blog/plugins-vs-apps-vs-mcp-servers-vs-skills). ## What this means for you **If you used plugins in 2023:** your old plugins are gone, but many of the same companies are back. Expedia, Instacart, OpenTable and Wolfram all have current listings. > **app:** [Expedia](https://chatgptplugins.directory/apps/expedia): Search and compare flights and hotels with real-time prices > **app:** [Wolfram](https://chatgptplugins.directory/apps/wolfram): Add Wolfram Language computation and curated knowledge **If you use ChatGPT today:** open the Plugins tab, install what you need, and connect accounts when asked. Our step-by-step guide is [How to install plugins in ChatGPT](/tutorials/install-plugins-in-chatgpt). Before connecting anything with write access, run through the [plugin security checklist](/blog/chatgpt-plugin-security-checklist). **If you build:** the Apps SDK docs now live under OpenAI's Plugins documentation. Start with [Build your first ChatGPT app](/tutorials/build-your-first-chatgpt-app), then [Publish a ChatGPT plugin](/tutorials/publish-a-chatgpt-plugin). If you have a custom GPT in an Enterprise workspace, plan its migration to a plugin before the retirement date. > **Note (October 4, 2026):** Since this post was published, DevDay 2026 added Plugin Extensions (sidebar apps, conversation panels, file viewers) and MCP Events. See [DevDay 2026: what it means for plugin builders](/blog/devday-2026-what-it-means-for-plugin-builders). Browse the current catalog at [/plugins](/plugins), [/apps](/apps) and [/mcp](/mcp). ## Listings in this post - [Expedia](https://chatgptplugins.directory/apps/expedia.md): Search and compare flights and hotels with real-time prices - [Instacart](https://chatgptplugins.directory/apps/instacart.md): Plan meals and shop groceries end to end inside ChatGPT - [OpenTable](https://chatgptplugins.directory/apps/opentable.md): Find and reserve restaurant tables - [Wolfram](https://chatgptplugins.directory/apps/wolfram.md): Add Wolfram Language computation and curated knowledge - [GitHub](https://chatgptplugins.directory/plugins/github.md): Triage PRs, issues, CI, and publish flows - [Figma](https://chatgptplugins.directory/plugins/figma.md): Figma design-to-code workflows --- Source: https://chatgptplugins.directory/blog/what-happened-to-chatgpt-plugins · Index: https://chatgptplugins.directory/llms.txt · Independent and community-run. Not affiliated with or endorsed by OpenAI. ChatGPT is a trademark of OpenAI. # The ChatGPT App Directory is now the Plugin Directory > On July 9, 2026 OpenAI replaced the ChatGPT App Directory with the Plugin Directory. What changed, what stayed the same, and what users and builders should do. Published: 2026-07-10 · Updated: 2026-10-04 · By: Divy Chaurasia · Tags: plugins, news On July 9, 2026, OpenAI replaced the ChatGPT App Directory with the Plugin Directory. Every existing app was packaged into a plugin, existing app connections keep working, and a plugin can now bundle skills, apps and app templates in one listing. If you already use apps in ChatGPT, you don't need to do anything; if you build them, your app now ships inside a plugin. The change landed on the same day as [ChatGPT Work](https://openai.com/index/chatgpt-for-your-most-ambitious-work), OpenAI's new agent for long-running tasks, and a new desktop app that combines Chat, Work and Codex. That context explains the rename: the directory now serves several surfaces, not just chat. ## What changed on July 9 OpenAI's help article [Plugins in ChatGPT and Codex](https://help.openai.com/en/articles/20001256-plugins-in-chatgpt-and-codex) and the [ChatGPT release notes](https://help.openai.com/en/articles/6825453-chatgpt-release-notes) describe the change. In short: - **New name, new unit.** The Plugin Directory replaces the App Directory. The thing you browse and install is now a plugin. - **Plugins are bundles.** A plugin listing can include one or more apps, skills and app templates. Apps are still the integrations that connect ChatGPT or Codex to external data and actions; the plugin is the package that makes a workflow easy to turn on. - **Existing apps were repackaged.** All apps from the old directory were packaged into plugins. New app submissions are packaged as plugins too. - **One directory for ChatGPT and Codex.** OpenAI's docs describe a "universal plugin directory": a public plugin is published once and is discoverable from both products, though individual capabilities can be surface-specific ([plugin architecture](https://developers.openai.com/plugins/concepts/plugins)). - **Availability depends on context.** Whether you can install or use a given plugin depends on your plan, workspace settings, role, surface, region and the apps it includes. ## What stayed the same | | Before July 9 | After July 9 | | --- | --- | --- | | Your connected accounts | Connected through apps | Still connected; no need to re-authenticate | | The integration itself | An app (MCP server, optional UI) | Still an app, now inside a plugin | | Building an integration | Apps SDK on MCP | Same foundation; the app is packaged as a plugin | | Testing your own server | Developer mode | Developer mode | | Getting listed | Submission and review via OpenAI | Submission and review via OpenAI | | Where you browse | App Directory | Plugin Directory (Plugins tab) | The technical base did not change. Apps are still MCP servers that define tools, handle authentication and can render UI. OpenAI's plugin IDs show the lineage: listings for Apps SDK apps keep a `plugin_asdk_app_...` identifier in their URL, and listings that began as connectors use `plugin_connector_...`. ## What it means for users Mostly nothing changes in day-to-day use. - **Find things in the Plugins tab.** Search or browse, select the plus button to install, and connect an account if asked. Some plugins ask you to sign in at install, others at first use ([OpenAI docs](https://learn.chatgpt.com/docs/plugins)). Our walkthrough: [How to install plugins in ChatGPT](/tutorials/install-plugins-in-chatgpt). - **You may get more than a connection.** Because plugins can include skills, installing one can also teach ChatGPT a workflow. The [Notion plugin](/plugins/notion), for example, bundles the Notion connection with skills for knowledge capture, meeting prep, research documentation and turning specs into tasks. - **Call a plugin directly with `@`.** Type `@` in the composer to pick a plugin or one of its skills, or just describe the task and let ChatGPT choose. - **Check permission settings.** Since June 12, 2026 you can choose when connected apps ask for permission: always, before making changes, or only before important changes ([plugin changelog](https://developers.openai.com/plugins/changelog)). Business and Enterprise admins set the workspace defaults. > **plugin:** [Notion](https://chatgptplugins.directory/plugins/notion): Notion workflows for specs, research, meetings, and knowledge capture ## What it means for workspace admins Admins still control which plugins and tools members can use. Importing or enabling a plugin does not by itself connect anyone's account or grant access to a service: the underlying app must also be enabled for the member's role, and the member needs access in the connected service ([plugin controls](https://learn.chatgpt.com/docs/enterprise/apps-and-connectors)). OpenAI's admin guidance is to start with read actions and review MCP server scopes before turning on write actions. If your workspace used custom apps or connectors before July 9, check that they appear as expected under the new plugin settings and that role-based access carried over. ## What it means for builders If you shipped an app through the Apps SDK, it is now distributed as a plugin. Three practical consequences: 1. **Your listing can do more.** You can add skills next to your MCP server so ChatGPT and Codex know how to use your tools for common workflows, not just which tools exist. See [Write a skill for ChatGPT and Codex](/tutorials/write-a-skill-for-chatgpt-and-codex). 2. **Codex users can find you.** Because the directory is shared, a public plugin is discoverable from Codex as well as ChatGPT. Test how your tools behave in a coding context, not only in chat. See [Use plugins in Codex](/tutorials/use-plugins-in-codex). 3. **Packaging matters.** A plugin has a manifest (`plugin.json`) that points to its skills and MCP configuration. Our guide [Publish a ChatGPT plugin](/tutorials/publish-a-chatgpt-plugin) covers the structure and the submission flow. If you are starting from scratch, [Build your first ChatGPT app](/tutorials/build-your-first-chatgpt-app) still begins with an MCP server; packaging it as a plugin is the last step, not the first. ## Why OpenAI made the change OpenAI has not published a long rationale, but the timing points to two reasons. First, plugins had already existed in Codex since March 2026, bundling skills and app connections; running two directories with overlapping content made little sense once the desktop app merged Chat, Work and Codex. Second, many useful workflows need more than a connection. A Google Drive connection lets ChatGPT find a file; a Google Drive plugin can also carry instructions for editing Docs, Sheets and Slides properly. > **plugin:** [Google Drive](https://chatgptplugins.directory/plugins/google-drive): Drive, Docs, Sheets or Slides The word "plugins" has history in ChatGPT, and the 2026 version has nothing in common with the 2023 one beyond the name. For the full timeline, read [What happened to ChatGPT plugins?](/blog/what-happened-to-chatgpt-plugins). ## Update, October 4, 2026 A few things have happened since the rename: - **Docs moved.** OpenAI's Apps SDK documentation now lives under Plugins on developers.openai.com, and old Apps SDK URLs redirect there. - **Custom GPTs are being retired in favour of plugins.** OpenAI notified Enterprise admins on September 11, 2026; the [migration FAQ](https://help.openai.com/en/articles/20001519) lists December 11, 2026 as the Enterprise retirement date and says dates may change and other plans may follow. - **DevDay 2026 extended plugins.** [Plugin Extensions](https://developers.openai.com/plugins/build/extensions) let plugins add sidebar apps, conversation panels, file viewers and editors, and richer forms, and [MCP Events](https://developers.openai.com/plugins/build/mcp-events) let ChatGPT react to updates from your server. Details in [DevDay 2026: what it means for plugin builders](/blog/devday-2026-what-it-means-for-plugin-builders). - **The directory has tabs.** OpenAI's current docs describe tabs for plugins built by OpenAI, plugins provided by your workspace, and personal plugins, plus an Installed row. For definitions of each term, see [Plugins vs apps vs MCP servers vs skills](/blog/plugins-vs-apps-vs-mcp-servers-vs-skills). Browse current listings at [/plugins](/plugins) and [/apps](/apps). ## Listings in this post - [Notion](https://chatgptplugins.directory/plugins/notion.md): Notion workflows for specs, research, meetings, and knowledge capture - [Notion](https://chatgptplugins.directory/apps/notion.md): Search, create and update Notion pages and databases - [Google Drive](https://chatgptplugins.directory/plugins/google-drive.md): Drive, Docs, Sheets or Slides --- Source: https://chatgptplugins.directory/blog/app-directory-is-now-the-plugin-directory · Index: https://chatgptplugins.directory/llms.txt · Independent and community-run. Not affiliated with or endorsed by OpenAI. ChatGPT is a trademark of OpenAI. # Listing index ## ChatGPT Plugins - [Superpowers](https://chatgptplugins.directory/plugins/superpowers.md): Plan, develop, and debug code - [Codex Security](https://chatgptplugins.directory/plugins/codex-security.md): Security scanning for your codebase - [Build Web Apps](https://chatgptplugins.directory/plugins/build-web-apps.md): Build frontend-focused web apps with generated assets, browser testing, payments, and... - [GitHub](https://chatgptplugins.directory/plugins/github.md): Triage PRs, issues, CI, and publish flows - [Figma](https://chatgptplugins.directory/plugins/figma.md): Figma design-to-code workflows - [Data Analytics](https://chatgptplugins.directory/plugins/data-analytics.md): Answer product and business questions with data - [Adobe](https://chatgptplugins.directory/plugins/adobe.md): Design, combine, and edit - [Creative Production](https://chatgptplugins.directory/plugins/creative-production.md): Create marketing visuals from a brief or product image. - [Public Equity Investing](https://chatgptplugins.directory/plugins/public-equity-investing.md): Public equity PM research, long/short, earnings, ETF/index diligence, and memos - [Product Design](https://chatgptplugins.directory/plugins/product-design.md): Explore and prototype ideas - [Shopify](https://chatgptplugins.directory/plugins/shopify.md): Build and manage your store - [PostHog](https://chatgptplugins.directory/plugins/posthog.md): Analyze your product data - [NVIDIA](https://chatgptplugins.directory/plugins/nvidia.md): Guided help for NVIDIA AI, GPU, robotics, simulation, and 3D workflows. - [Build Web Data Visualization](https://chatgptplugins.directory/plugins/build-web-data-visualization.md): Design, build, test, and export web data visualizations - [Canva](https://chatgptplugins.directory/plugins/canva.md): Create, review, edit designs - [OpenAI Developers](https://chatgptplugins.directory/plugins/openai-developers.md): Develop AI apps, agents, and ChatGPT Apps with OpenAI best practices - [Twilio Developer Kit](https://chatgptplugins.directory/plugins/twilio-developer-kit.md): Twilio Skills for building, debugging, and shipping on Twilio - [Zotero](https://chatgptplugins.directory/plugins/zotero.md): Find papers and add citations from Zotero - [Supabase](https://chatgptplugins.directory/plugins/supabase.md): Manage and query databases - [Temporal](https://chatgptplugins.directory/plugins/temporal.md): Develop with Temporal - [HyperFrames by HeyGen](https://chatgptplugins.directory/plugins/hyperframes.md): Write HTML, render video - [CircleCI](https://chatgptplugins.directory/plugins/circleci.md): Build, test, and deploy any application - [Expo](https://chatgptplugins.directory/plugins/expo.md): Build, deploy, upgrade, and debug Expo and React Native apps - [Plugin Eval](https://chatgptplugins.directory/plugins/plugin-eval.md): Start from chat, then evaluate or benchmark locally - [Remotion](https://chatgptplugins.directory/plugins/remotion.md): Make videos agentically - [CodeRabbit](https://chatgptplugins.directory/plugins/coderabbit.md): Run AI-powered code review for your current changes - [Life Science Research](https://chatgptplugins.directory/plugins/life-science-research.md): General life-sciences research with routing, evidence synthesis, and optional parallel... - [Build macOS Apps](https://chatgptplugins.directory/plugins/build-macos-apps.md): Build, debug, instrument, and implement macOS apps with SwiftUI and AppKit guidance - [Build iOS Apps](https://chatgptplugins.directory/plugins/build-ios-apps.md): Build, refine, and debug iOS apps with App Intents, SwiftUI, and Xcode workflows - [Test Android Apps](https://chatgptplugins.directory/plugins/test-android-apps.md): Reproduce issues, inspect UI, and capture performance evidence from Android emulators - [Cloudflare](https://chatgptplugins.directory/plugins/cloudflare.md): Cloudflare platform guidance with official MCP - [Sentry](https://chatgptplugins.directory/plugins/sentry.md): Inspect recent Sentry issues and events - [Notion](https://chatgptplugins.directory/plugins/notion.md): Notion workflows for specs, research, meetings, and knowledge capture - [Google Drive](https://chatgptplugins.directory/plugins/google-drive.md): Drive, Docs, Sheets or Slides - [Game Studio](https://chatgptplugins.directory/plugins/game-studio.md): Design, prototype, and ship browser games - [Atlassian Rovo](https://chatgptplugins.directory/plugins/atlassian-rovo.md): Manage Jira and Confluence - [Teams](https://chatgptplugins.directory/plugins/teams.md): Summarize Teams and follow up - [Outlook Email](https://chatgptplugins.directory/plugins/outlook-email.md): Triage Outlook inboxes - [Stripe](https://chatgptplugins.directory/plugins/stripe.md): Accept payments. Grow revenue. - [Vercel](https://chatgptplugins.directory/plugins/vercel.md): Build and deploy web apps and agents - [Airtable](https://chatgptplugins.directory/plugins/airtable.md): Add structured data to ChatGPT - [Zoom](https://chatgptplugins.directory/plugins/zoom.md): Smart meeting insights from Zoom - [Slack](https://chatgptplugins.directory/plugins/slack.md): Read and manage Slack - [Gmail](https://chatgptplugins.directory/plugins/gmail.md): Read and manage Gmail - [Google Calendar](https://chatgptplugins.directory/plugins/google-calendar.md): Manage Google Calendar events - [Linear](https://chatgptplugins.directory/plugins/linear.md): Plan and build products - [Static Analysis (Trail of Bits)](https://chatgptplugins.directory/plugins/trailofbits-static-analysis.md): CodeQL, Semgrep and SARIF parsing skills for security bug hunting - [Differential Review (Trail of Bits)](https://chatgptplugins.directory/plugins/trailofbits-differential-review.md): Security-focused review of code diffs with blast-radius estimation - [Supply Chain Risk Auditor (Trail of Bits)](https://chatgptplugins.directory/plugins/trailofbits-supply-chain-risk-auditor.md): Audit npm, PyPI and Go dependencies for supply-chain risk - [Qodo](https://chatgptplugins.directory/plugins/qodo.md): Code intelligence and review workflows from Qodo - [BioRender](https://chatgptplugins.directory/plugins/biorender.md): Find and create figures - [Egnyte](https://chatgptplugins.directory/plugins/egnyte.md): Find and analyze your files - [Expedia](https://chatgptplugins.directory/plugins/expedia.md): Plan travel, flights & hotels - [Fireflies](https://chatgptplugins.directory/plugins/fireflies.md): Search meeting transcripts - [Hex](https://chatgptplugins.directory/plugins/hex.md): Ask questions, run analyses - [Mixpanel Headless](https://chatgptplugins.directory/plugins/mixpanel-headless.md): Analyze Mixpanel data with Python - [12ui Design](https://chatgptplugins.directory/plugins/12ui-design.md): Design interfaces from images - [1Password](https://chatgptplugins.directory/plugins/1password.md): Manage Developer Environments - [Adaptyv Bio](https://chatgptplugins.directory/plugins/adaptyv-bio.md): Plan and manage protein experiments with review gates - [AgentMarkup](https://chatgptplugins.directory/plugins/agentmarkup.md): Make sites readable by AI - [Aivana Security Investigator](https://chatgptplugins.directory/plugins/aivana-security-investigator.md): Run safe KQL investigations - [AMD](https://chatgptplugins.directory/plugins/amd.md): Enable AMD's skills ecosystem - [Annotations Extensibility](https://chatgptplugins.directory/plugins/annotations-extensibility.md): Customize how annotation mode interacts with your site. - [Ansight](https://chatgptplugins.directory/plugins/ansight.md): Inspect and debug mobile apps. - [Antom Integration](https://chatgptplugins.directory/plugins/antom-integration.md): Integrate payments with Antom - [Antom Reconciliation Expert](https://chatgptplugins.directory/plugins/antom-reconciliation-expert.md): Reconcile Antom settlements - [Arclight Feasibility Planner](https://chatgptplugins.directory/plugins/arclight-feasibility-planner.md): Plan healthcare services - [Arclight Readiness Navigator](https://chatgptplugins.directory/plugins/arclight-readiness-navigator.md): Prepare for Medicare review - [Astria](https://chatgptplugins.directory/plugins/astria.md): AI photoshoots, images & video - [astronomer-data](https://chatgptplugins.directory/plugins/astronomer-data.md): Build and debug Airflow DAGs - [Atbash Safety](https://chatgptplugins.directory/plugins/atbash-safety.md): Guard tool calls with Atbash - [Auth0](https://chatgptplugins.directory/plugins/auth0.md): Add Auth0 to your application - [Avalara](https://chatgptplugins.directory/plugins/avalara.md): Manage tax transactions, exemptions, returns, and reports - [Azure Cosmos DB](https://chatgptplugins.directory/plugins/azure-cosmos-db.md): Azure Cosmos DB plugin - [Baseten](https://chatgptplugins.directory/plugins/baseten.md): Set up and use Baseten. - [BigQuery](https://chatgptplugins.directory/plugins/bigquery.md): Query and manage BigQuery - [Biological Sequence & Alignment Viewer](https://chatgptplugins.directory/plugins/biological-sequence-alignment-viewer.md): Inspect, analyze, and compare biological sequences and alignments in Codex. - [Boltz](https://chatgptplugins.directory/plugins/boltz.md): Predict structures, screen molecules and proteins, and design binders - [Brancha](https://chatgptplugins.directory/plugins/brancha.md): Grow one idea into many - [BrowserAct](https://chatgptplugins.directory/plugins/browseract.md): Web browser automation - [castform](https://chatgptplugins.directory/plugins/castform.md): post-train llms with castform. - [CastReader](https://chatgptplugins.directory/plugins/castreader.md): Read answers aloud - [Cecil-IA Labs FFmpeg](https://chatgptplugins.directory/plugins/cecil-ia-labs-ffmpeg.md): FFmpeg Toolkit for Agents - [ChatCut](https://chatgptplugins.directory/plugins/chatcut.md): Create videos in ChatCut - [ChatGPT Admin](https://chatgptplugins.directory/plugins/chatgpt-admin.md): Manage ChatGPT workspaces for workspace owners or admins. - [ChatGPT Ads Manager](https://chatgptplugins.directory/plugins/chatgpt-ads-manager.md): Manage ads and performance - [Codex Replay](https://chatgptplugins.directory/plugins/codex-replay.md): Run independent replays in the in-app or system browser. - [Codex Security Cloud](https://chatgptplugins.directory/plugins/codex-security-cloud.md): Find and fix vulnerabilities across your repositories - [Codex Tasks (Internal/CCA)](https://chatgptplugins.directory/plugins/codex-tasks-internalcca.md): Internal CCA task adapter - [Company Knowledge](https://chatgptplugins.directory/plugins/company-knowledge.md): Find decisions, documents, and project context across connected sources - [CompText Benchmark](https://chatgptplugins.directory/plugins/comptext-benchmark.md): Benchmark Raw vs CompText. - [CompText Context](https://chatgptplugins.directory/plugins/comptext-context.md): Compile minimal context. - [CompText Evidence](https://chatgptplugins.directory/plugins/comptext-evidence.md): Verify evidence freshness - [CompText Guard](https://chatgptplugins.directory/plugins/comptext-guard.md): Guard autonomous repo work. - [CrowdStrike Falcon Foundry](https://chatgptplugins.directory/plugins/crowdstrike-falcon-foundry.md): Build Falcon Foundry apps - [CrowdStrike Falcon Fusion](https://chatgptplugins.directory/plugins/crowdstrike-falcon-fusion.md): Build Falcon Fusion workflows - [Data](https://chatgptplugins.directory/plugins/data.md): Answer questions with data - [Databricks Genie](https://chatgptplugins.directory/plugins/databricks-genie.md): Analyze and manage Databricks - [dotenc](https://chatgptplugins.directory/plugins/dotenc.md): Protect your app secrets - [Duende Skills](https://chatgptplugins.directory/plugins/duende-skills.md): IdentityServer & OAuth skills - [Easy Cardz NBA Scout](https://chatgptplugins.directory/plugins/easy-cardz-nba-scout.md): NBA-Karten analysieren - [Elite Trainer Fight Coach](https://chatgptplugins.directory/plugins/elite-trainer-fight-coach.md): Striking combos and Fight IQ - [Email Love](https://chatgptplugins.directory/plugins/email-love.md): Build HTML Emails in Figma - [Endor Labs Agent Kit](https://chatgptplugins.directory/plugins/endor-labs-agent-kit.md): Endor Labs Agentic AppSec - [Exxentric](https://chatgptplugins.directory/plugins/exxentric.md): Exxentric Flywheel Expertise - [Fallow Code Analysis](https://chatgptplugins.directory/plugins/fallow-code-analysis.md): Local JS/TS code analysis - [FastAPI Cloud](https://chatgptplugins.directory/plugins/fastapi-cloud.md): Deploy and manage FastAPI apps - [Fastieshop Cinsel Sağlık](https://chatgptplugins.directory/plugins/fastieshop-cinsel-saglk.md): Blog rehberlerine hızlı ulaş - [Firebase](https://chatgptplugins.directory/plugins/firebase.md): Build and manage Firebase apps - [Genra Video Editor](https://chatgptplugins.directory/plugins/genra-video-editor.md): Turn ideas into videos. - [GifGen - GIFs](https://chatgptplugins.directory/plugins/gifgen-gifs.md): Ideas / images > animated GIFs - [GifGen - Sticker Maker](https://chatgptplugins.directory/plugins/gifgen-sticker-maker.md): Turn any idea into stickers - [GigaMail](https://chatgptplugins.directory/plugins/gigamail.md): Answer email from your files - [GitLab (Beta)](https://chatgptplugins.directory/plugins/gitlab-beta.md): Triage GitLab MRs and CI/CD - [Havan Festival Planner](https://chatgptplugins.directory/plugins/havan-festival-planner.md): Plan Hindu festivals - [Hen Screenshots](https://chatgptplugins.directory/plugins/hen-screenshots.md): Create screenshots and mockups - [Hey-Traders! Quant Trading](https://chatgptplugins.directory/plugins/hey-traders-quant-trading.md): Agent-native trading infra - [heyGRC](https://chatgptplugins.directory/plugins/heygrc.md): GRC review for your PRs - [Hostinger Connector](https://chatgptplugins.directory/plugins/hostinger-connector.md): Deploy and manage your hosting - [Hypawave](https://chatgptplugins.directory/plugins/hypawave.md): Chat & work with other agents - [Impeccable](https://chatgptplugins.directory/plugins/impeccable.md): Design and refine interfaces - [InsForge](https://chatgptplugins.directory/plugins/insforge.md): Agent-Native Cloud Platform - [Investment Banking](https://chatgptplugins.directory/plugins/investment-banking.md): M&A, valuation, and financing - [Jam](https://chatgptplugins.directory/plugins/jam.md): Investigate bug reports - [Kling AI](https://chatgptplugins.directory/plugins/kling-ai.md): Create images and videos - [KnowzCode](https://chatgptplugins.directory/plugins/knowzcode.md): TDD coding with quality gates - [Kombai](https://chatgptplugins.directory/plugins/kombai.md): Your AI design engineer - [LanceDB](https://chatgptplugins.directory/plugins/lancedb.md): Build LanceDB pipelines - [Life Sciences Databases](https://chatgptplugins.directory/plugins/life-sciences-databases.md): Query structured public life-science databases - [Life Sciences Literature](https://chatgptplugins.directory/plugins/life-sciences-literature.md): Find biomedical papers, preprints, and open-access full text - [Life Sciences NGS Analysis](https://chatgptplugins.directory/plugins/life-sciences-ngs-analysis.md): Guided NGS routing and local execution for sequencing analysis - [MailChannels](https://chatgptplugins.directory/plugins/mailchannels.md): Send email with MailChannels. - [MaxAEO AI Visibility](https://chatgptplugins.directory/plugins/maxaeo-ai-visibility.md): Check if AI search cites you - [Mergify](https://chatgptplugins.directory/plugins/mergify.md): Run and debug your merge queue - [Meshy](https://chatgptplugins.directory/plugins/meshy.md): From ideas to 3D creations - [Metabase](https://chatgptplugins.directory/plugins/metabase.md): Query and explore your Metabase data - [microCMS](https://chatgptplugins.directory/plugins/microcms.md): microCMS公式情報に基づく設計・実装ガイド - [Microsoft Dataverse](https://chatgptplugins.directory/plugins/microsoft-dataverse.md): Build and manage Dataverse - [Microsoft Power BI](https://chatgptplugins.directory/plugins/microsoft-power-bi.md): Explore and author analytics in your browser - [Minimus](https://chatgptplugins.directory/plugins/minimus.md): Dockerfiles on hardened images - [MockFlow](https://chatgptplugins.directory/plugins/mockflow.md): Brainstorm anything visually - [Modal](https://chatgptplugins.directory/plugins/modal.md): Run AI workloads in the cloud - [ModRetro Chromatic Plugin](https://chatgptplugins.directory/plugins/modretro-chromatic-plugin.md): Create games for Chromatic. - [Molecular Structure Viewer](https://chatgptplugins.directory/plugins/molecular-structure-viewer.md): Visualize and interact with molecular structures in Codex. - [monday.com](https://chatgptplugins.directory/plugins/mondaycom.md): Manage projects, tasks & CRM - [Murali Growth Screener Mobile](https://chatgptplugins.directory/plugins/murali-growth-screener-mobile.md): High-conviction stock buys. - [NGS Analysis Workbench](https://chatgptplugins.directory/plugins/ngs-analysis-workbench.md): Analyze sequencing data - [NightVision](https://chatgptplugins.directory/plugins/nightvision.md): Secure apps with NightVision - [Noodle Seed](https://chatgptplugins.directory/plugins/noodle-seed.md): Build and deploy MCP - [NVIDIA BioNeMo Agent Toolkit](https://chatgptplugins.directory/plugins/nvidia-bionemo-agent-toolkit.md): Skills for NVIDIA BioNeMo - [NVIDIA Skills](https://chatgptplugins.directory/plugins/nvidia-skills.md): Find the right NVIDIA skill - [OneGate](https://chatgptplugins.directory/plugins/onegate.md): OneGate Codex Plugin - [OneNote](https://chatgptplugins.directory/plugins/onenote.md): Read, export, organize, and safely update OneNote - [Open Design](https://chatgptplugins.directory/plugins/open-design.md): One brand kit, all designs. - [OpenAI Ads Conversions](https://chatgptplugins.directory/plugins/openai-ads-conversions.md): Set up OpenAI Ads Pixel and CAPI tracking - [Outlook Calendar](https://chatgptplugins.directory/plugins/outlook-calendar.md): Manage Outlook schedules - [paytech](https://chatgptplugins.directory/plugins/paytech.md): paytech API Integration - [pen.dev](https://chatgptplugins.directory/plugins/pendev.md): Design UI on a live canvas - [Pinecone](https://chatgptplugins.directory/plugins/pinecone.md): Add knowledge to your AI app - [Pixeltable](https://chatgptplugins.directory/plugins/pixeltable.md): Unified multimodal backend - [PixVerse](https://chatgptplugins.directory/plugins/pixverse.md): Create and edit videos - [Plugin Creator](https://chatgptplugins.directory/plugins/plugin-creator.md): Create and edit plugins - [Presenton](https://chatgptplugins.directory/plugins/presenton.md): Create editable presentations - [Preset CLI Skills](https://chatgptplugins.directory/plugins/preset-cli-skills.md): Preset workflows via sup CLI - [Promotion Check](https://chatgptplugins.directory/plugins/promotion-check.md): 检查代码变更、联调证据与 CR 准备度 - [Promptfoo](https://chatgptplugins.directory/plugins/promptfoo.md): Make for all - [Proxyman](https://chatgptplugins.directory/plugins/proxyman.md): Debug HTTP and HTTPS traffic - [Qdrant Advisor](https://chatgptplugins.directory/plugins/qdrant-advisor.md): Expert Qdrant guidance - [Recurse](https://chatgptplugins.directory/plugins/recurse.md): Build specialist agents. - [Redis](https://chatgptplugins.directory/plugins/redis.md): Build Redis applications - [Research Methodology](https://chatgptplugins.directory/plugins/research-methodology.md): Research to checkable results - [Retool](https://chatgptplugins.directory/plugins/retool.md): Build and deploy Retool apps - [Revyl](https://chatgptplugins.directory/plugins/revyl.md): Run and verify mobile apps. - [Roblox Studio](https://chatgptplugins.directory/plugins/roblox-studio.md): Make Roblox games with ChatGPT - [Rosalind Workbench](https://chatgptplugins.directory/plugins/rosalind-workbench.md): Explore life-science workflows - [Runpod (Official)](https://chatgptplugins.directory/plugins/runpod-official.md): Official Runpod skills + MCP server — pods, serverless, runpodctl, flash. - [Sales](https://chatgptplugins.directory/plugins/sales.md): Practical workflows for sales - [saymd](https://chatgptplugins.directory/plugins/saymd.md): Voice to Markdown prompts - [SentLines](https://chatgptplugins.directory/plugins/sentlines.md): Practice languages by sentence - [SEOmatic SEO Audit](https://chatgptplugins.directory/plugins/seomatic-seo-audit.md): SEO audit from your real data - [Servotab](https://chatgptplugins.directory/plugins/servotab.md): Risk-scaled repository methods - [ShardX Proxy Advisor](https://chatgptplugins.directory/plugins/shardx-proxy-advisor.md): Choose and fix proxy setups - [SharePoint](https://chatgptplugins.directory/plugins/sharepoint.md): Summarize SharePoint content - [Ship24 Tracking API](https://chatgptplugins.directory/plugins/ship24-tracking-api.md): Integrate shipment tracking - [Sigma](https://chatgptplugins.directory/plugins/sigma.md): Build and explore your data - [Simcorner eSIM](https://chatgptplugins.directory/plugins/simcorner-esim.md): Find travel eSIMs by trip - [Skarn](https://chatgptplugins.directory/plugins/skarn.md): AI session security scanner - [Slide Viewer](https://chatgptplugins.directory/plugins/slide-viewer.md): Explore whole-slide microscopy, digital pathology, and spatial transcriptomics. - [Snowflake](https://chatgptplugins.directory/plugins/snowflake.md): Query and manage Snowflake - [Soku](https://chatgptplugins.directory/plugins/soku.md): AI agent for ads and creatives - [SonarQube](https://chatgptplugins.directory/plugins/sonarqube.md): Review code as it's written - [Sparki](https://chatgptplugins.directory/plugins/sparki.md): Edit videos through chat. - [Tableau](https://chatgptplugins.directory/plugins/tableau.md): See and understand data - [Tahr Security](https://chatgptplugins.directory/plugins/tahr-security.md): Evidence-backed app security - [Tailscale](https://chatgptplugins.directory/plugins/tailscale.md): Securely connect your devices - [Task Tool](https://chatgptplugins.directory/plugins/task-tool.md): Create and manage tasks - [TEB](https://chatgptplugins.directory/plugins/teb.md): Banking Services - [treg](https://chatgptplugins.directory/plugins/treg.md): Call 2,600 APIs without keys - [TRX Search Interview Coach™](https://chatgptplugins.directory/plugins/trx-search-interview-coachtm.md): Evidence-based interview prep - [TRX Search Resume Refiner™](https://chatgptplugins.directory/plugins/trx-search-resume-refinertm.md): Recruiter-led résumé review - [Trylle](https://chatgptplugins.directory/plugins/trylle.md): Manage your PRs, CI and Issues - [Unclass Lesson Builder](https://chatgptplugins.directory/plugins/unclass-lesson-builder.md): Language lessons for Unclass - [Uniform](https://chatgptplugins.directory/plugins/uniform.md): Build with Uniform - [Unity](https://chatgptplugins.directory/plugins/unity.md): Build, monetize, tune games - [Vaisala Xweather API & Maps](https://chatgptplugins.directory/plugins/vaisala-xweather-api-maps.md): Xweather API and Maps tools - [Vapi](https://chatgptplugins.directory/plugins/vapi.md): Build voice agents with Vapi. - [VEDA Demo Analyst](https://chatgptplugins.directory/plugins/veda-demo-analyst.md): Explore synthetic cyber risk - [Vibooks](https://chatgptplugins.directory/plugins/vibooks.md): AI bookkeeping from documents - [VIDOC Security Review](https://chatgptplugins.directory/plugins/vidoc-security-review.md): Security reviews by VIDOC - [VillageSQL Skills](https://chatgptplugins.directory/plugins/villagesql-skills.md): Builds extensions for MySQL - [Vocabloot Deck Kit](https://chatgptplugins.directory/plugins/vocabloot-deck-kit.md): Make Vocabloot language decks - [Webcmd](https://chatgptplugins.directory/plugins/webcmd.md): Self-learning agent browsing - [Yaps Audio Cleaner](https://chatgptplugins.directory/plugins/yaps-audio-cleaner.md): Remove noise, enhance speech - [Yaps Background Remover](https://chatgptplugins.directory/plugins/yaps-background-remover.md): Remove image backgrounds - [Yaps Video Captions](https://chatgptplugins.directory/plugins/yaps-video-captions.md): Add captions to any video - [Yaps Video Clipping](https://chatgptplugins.directory/plugins/yaps-video-clipping.md): Remove dead space from videos - [YCloud Developer Kit](https://chatgptplugins.directory/plugins/ycloud-developer-kit.md): YCloud & WhatsApp Business API - [Zilliz](https://chatgptplugins.directory/plugins/zilliz.md): Manage Zilliz vector databases - [Zuora Coding Agent](https://chatgptplugins.directory/plugins/zuora-coding-agent.md): Build Zuora Solutions - [Amplitude](https://chatgptplugins.directory/plugins/amplitude.md): Analyze your product data - [Code Review](https://chatgptplugins.directory/plugins/code-review.md): Review pull requests and merge requests - [Daloopa](https://chatgptplugins.directory/plugins/daloopa.md): Financial KPIs with links - [dbt](https://chatgptplugins.directory/plugins/dbt.md): Work with dbt projects - [Fastly Agent Toolkit](https://chatgptplugins.directory/plugins/fastly-agent-toolkit.md): Build with Fastly - [Fastly MCP](https://chatgptplugins.directory/plugins/fastly-mcp.md): Work with the Fastly API - 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[SMC Schrijversstem](https://chatgptplugins.directory/plugins/smc-schrijversstem.md): Schrijven in de SMC-stem - [Software Architect](https://chatgptplugins.directory/plugins/software-architect.md): Design software architecture - [Software Architect](https://chatgptplugins.directory/plugins/software-architect-the-doers-firm-ltd.md): Design robust software - [Software Engineering Toolkit](https://chatgptplugins.directory/plugins/software-engineering-toolkit.md): Ship disciplined software - [Spreadsheet Human UX](https://chatgptplugins.directory/plugins/spreadsheet-human-ux.md): Human spreadsheets - [SSOT Check](https://chatgptplugins.directory/plugins/ssot-check.md): Check documentation drift - [stark AI Developer](https://chatgptplugins.directory/plugins/stark-ai-developer.md): Harness-first toolkit - [Stock & ETF Research Panel](https://chatgptplugins.directory/plugins/stock-etf-research-panel.md): Clear stock and ETF research - [Stock Market Summary](https://chatgptplugins.directory/plugins/stock-market-summary.md): Daily markets & stock research - [Swift Concurrency](https://chatgptplugins.directory/plugins/swift-concurrency.md): Master Swift 6 concurrency - [SwiftUI Expert](https://chatgptplugins.directory/plugins/swiftui-expert.md): Build better SwiftUI views - [TA Poltekkes by Quartlympus](https://chatgptplugins.directory/plugins/ta-poltekkes-by-quartlympus.md): Workflow Skripsi Poltekkes - [taskplane](https://chatgptplugins.directory/plugins/taskplane.md): Plan, build and review code - [Tesseract](https://chatgptplugins.directory/plugins/tesseract.md): Edit videos & motion graphics - [Testing React Native Apps](https://chatgptplugins.directory/plugins/testing-react-native-apps.md): React Native testing and QA - [text-to-cad](https://chatgptplugins.directory/plugins/text-to-cad.md): Design 3D models - [text-to-cad](https://chatgptplugins.directory/plugins/text-to-cad-earthtojake.md): Design 3D models - [The 5th Ledger](https://chatgptplugins.directory/plugins/the-5th-ledger.md): Govern consequential work - [TokenX](https://chatgptplugins.directory/plugins/tokenx.md): Route Codex tasks by cost - [Tree Ring Memory](https://chatgptplugins.directory/plugins/tree-ring-memory.md): Durable memory for agents - [trigger-tree](https://chatgptplugins.directory/plugins/trigger-tree.md): See which docs your AI reads - [Tripo 3D](https://chatgptplugins.directory/plugins/tripo-3d.md): From Text/Image to 3D Models - [Trợ lý Phân tích Content Viral](https://chatgptplugins.directory/plugins/tro-ly-phan-tich-content-viral.md): Phân tích nội dung viral - [Unity Essentials](https://chatgptplugins.directory/plugins/unity-essentials.md): Work powerfully in Unity - [Universal Plugin Installer](https://chatgptplugins.directory/plugins/universal-plugin-installer.md): Convert Skills 2 Codex Plugins - [Vacation Planner Pro](https://chatgptplugins.directory/plugins/vacation-planner-pro.md): Smarter trips and hidden gems - [Vera](https://chatgptplugins.directory/plugins/vera.md): Assistente AI x commercialisti - [Vibe Catalysis](https://chatgptplugins.directory/plugins/vibe-catalysis.md): Run ASE + UMA adsorption - [Vibe Code Security Reviewer](https://chatgptplugins.directory/plugins/vibe-code-security-reviewer.md): Audit real security risks - [Viral Hook Suite](https://chatgptplugins.directory/plugins/viral-hook-suite.md): Create German social content - [Viral Hook Suite — Shared Code](https://chatgptplugins.directory/plugins/viral-hook-suite-shared-code.md): Create gated German content - [Viral Hook Suite 1.0](https://chatgptplugins.directory/plugins/viral-hook-suite-10.md): Create German social content - [Visa Submission Flow](https://chatgptplugins.directory/plugins/visa-submission-flow.md): Prepare visa checklists - [Voice Cloning](https://chatgptplugins.directory/plugins/voice-cloning.md): Clone your voice with AI - [Voice Notify for Codex](https://chatgptplugins.directory/plugins/voice-notify-for-codex.md): Private offline Codex alerts - [Waggle Installer](https://chatgptplugins.directory/plugins/waggle-installer.md): Local memory for Codex - [Web App QA & Release Copilot](https://chatgptplugins.directory/plugins/web-app-qa-release-copilot.md): Test web apps before release - [WebMCP](https://chatgptplugins.directory/plugins/webmcp.md): Add WebMCP tools to my website - [WebMCP Kit](https://chatgptplugins.directory/plugins/webmcp-kit.md): Add WebMCP tools to your site - [Whop](https://chatgptplugins.directory/plugins/whop.md): Guide Whop payment setup - [Windowisp](https://chatgptplugins.directory/plugins/windowisp.md): use pet on Windows desktop - [WonderWhy](https://chatgptplugins.directory/plugins/wonderwhy.md): Product images into ad ideas - [World Flag Map](https://chatgptplugins.directory/plugins/world-flag-map.md): Explore flags, maps and games - [Worldkeep](https://chatgptplugins.directory/plugins/worldkeep.md): Structure and view your world - [Write Like Me — Voice Pattern](https://chatgptplugins.directory/plugins/write-like-me-voice-pattern.md): Write in your own voice - [Writer](https://chatgptplugins.directory/plugins/writer.md): Writing that's ready to send - [Writing Assistant](https://chatgptplugins.directory/plugins/writing-assistant.md): Maintain your voice. - [ZzzOps](https://chatgptplugins.directory/plugins/zzzops.md): Agentic engineering goals - [ОСВІТОР: Конструктор курсу](https://chatgptplugins.directory/plugins/plugins-6ab4103779d8819188f5cea27c39937d.md): Створює структуру курсу - [ОСВІТОР: Навігатор](https://chatgptplugins.directory/plugins/plugins-6ab405b0edbc819196093d84ab933cf6.md): Головний навігатор - [주식좋아하는 야구부 매니저](https://chatgptplugins.directory/plugins/waiker.md): 야구 비유로 쉽게 보는 16파트 기업 분석 - [エスキスクン](https://chatgptplugins.directory/plugins/plugins-6a7c16922394819184b5e5b8f1eeced4.md): 建築設計案のエスキス・法規一次レビュー - [ちゃんべん プロフェッショナルデジタルスキル(システム)](https://chatgptplugins.directory/plugins/plugins-6a921eba24ec81919fc19e9ee4a16d3f.md): IPA最新シラバスに準拠した紛らわしい4択問題と全選択肢解説 - [ちゃんべん プロフェッショナルデジタルスキル(マネジメント)](https://chatgptplugins.directory/plugins/plugins-6a915fca7998819199badc5c89648332.md): IPA最新シラバスに準拠した紛らわしい4択問題と全選択肢解説 - [ちゃんべん 基本情報技術者試験](https://chatgptplugins.directory/plugins/plugins-6a916c4f71e881918e916ce9bbcfeb35.md): IPA最新シラバス準拠の紛らわしい4択問題と全選択肢解説 - [ちゃんべん 情報セキュリティマネジメント試験](https://chatgptplugins.directory/plugins/plugins-6a91fc299b5481918e3da0ba6a038d8a.md): IPA最新シラバス準拠の紛らわしい4択問題と全選択肢解説 - [ちゃんべん 情報処理安全確保支援士試験](https://chatgptplugins.directory/plugins/plugins-6a9221a6f4d08191a6135fa24260fd8a.md): IPA最新シラバス準拠の紛らわしい4択問題と全選択肢解説 - [ドールラインβ](https://chatgptplugins.directory/plugins/plugins-6a937b5e97508191a1873c5102ddd0c8.md): 人物写真を繊細なドール系イラストへ変換 - [販売クオリティAIアート作品を作成するAIツール](https://chatgptplugins.directory/plugins/japan-ai-art.md): 対話で構図や色彩を考え、AIアート制作を支援 - [Coach lettura silente](https://chatgptplugins.directory/plugins/coach-lettura-silente.md): Migliorare lettura silente - [Idea Generator](https://chatgptplugins.directory/plugins/idea-generator.md): Crossbreed ideas creatively - [Platform Bridge](https://chatgptplugins.directory/plugins/platform-bridge.md): Enables API use in iOS app ## ChatGPT Apps - [Marriott Bonvoy](https://chatgptplugins.directory/apps/marriott-bonvoy.md): Search Marriott's 30+ hotel brands across 10,000 destinations - [Trip.com](https://chatgptplugins.directory/apps/trip-com.md): Search and compare flights, hotels, trains and attractions in one chat - [Starbucks](https://chatgptplugins.directory/apps/starbucks.md): Get personalized drink recommendations and order from Starbucks - [SEPHORA](https://chatgptplugins.directory/apps/sephora.md): Personalized beauty recommendations with Beauty Insider perks - [Ticketmaster](https://chatgptplugins.directory/apps/ticketmaster.md): Discover concerts, sports and theater and find tickets - [Walmart](https://chatgptplugins.directory/apps/walmart.md): Shop Walmart's everyday low prices from a chat - [Intuit QuickBooks](https://chatgptplugins.directory/apps/intuit-quickbooks.md): Analyze profit and cash flow, run reports and manage invoices from chat - [Spotify](https://chatgptplugins.directory/apps/spotify.md): Find music, podcasts and audiobooks and build playlists inside ChatGPT - [Google Drive](https://chatgptplugins.directory/apps/google-drive.md): Search and work with Drive, Docs, Sheets and Slides - [GitHub](https://chatgptplugins.directory/apps/github.md): Triage PRs, issues and CI across your repositories - [Canva](https://chatgptplugins.directory/apps/canva.md): Create, resize, edit and review Canva designs from a chat - [Figma](https://chatgptplugins.directory/apps/figma.md): Create designs, diagrams and FigJam boards and ship them to code - [Expedia](https://chatgptplugins.directory/apps/expedia.md): Search and compare flights and hotels with real-time prices - [Booking.com](https://chatgptplugins.directory/apps/booking-com.md): Find stays, rental cars and attractions for your next trip - [Zillow](https://chatgptplugins.directory/apps/zillow.md): Search homes for sale with listings, photos and maps in chat - [MCP App Basics (Apps SDK example)](https://chatgptplugins.directory/apps/apps-sdk-mcp-app-basics.md): Eleven interactive widgets that each teach one MCP Apps API - [Cards Against AI (Apps SDK example)](https://chatgptplugins.directory/apps/apps-sdk-cards-against-ai.md): Card game driven by ChatGPT with a real-time synced widget - [Authenticated Server (Apps SDK example)](https://chatgptplugins.directory/apps/apps-sdk-authenticated.md): Demonstrates tools that require different levels of OAuth - [Shopping Cart (Apps SDK example)](https://chatgptplugins.directory/apps/apps-sdk-shopping-cart.md): Keeps cart state in sync across tool calls with widgetSessionId - [Kitchen Sink Lite (Apps SDK example)](https://chatgptplugins.directory/apps/apps-sdk-kitchen-sink-lite.md): Minimal widget + server showing the full window.openai surface - [Pizzaz (Apps SDK example)](https://chatgptplugins.directory/apps/apps-sdk-pizzaz.md): Pizza-themed demo of list, carousel, map and checkout widgets - [Solar System (Apps SDK example)](https://chatgptplugins.directory/apps/apps-sdk-solar-system.md): Python MCP server that renders an interactive 3D solar system widget - [Xero](https://chatgptplugins.directory/apps/xero.md): Read-only P&L, cash flow and invoice summaries from Xero - [tldraw](https://chatgptplugins.directory/apps/tldraw.md): An infinite canvas for diagrams, wireframes and boards in ChatGPT and Codex - [Sonos](https://chatgptplugins.directory/apps/sonos.md): Play music and control Sonos speakers and rooms from ChatGPT - [Swiggy Food](https://chatgptplugins.directory/apps/swiggy-food.md): Order food delivery in India from Swiggy without leaving the chat - [PayPal](https://chatgptplugins.directory/apps/paypal.md): Manage your PayPal business and build a payments integration - [Higgsfield](https://chatgptplugins.directory/apps/higgsfield.md): Generate image and video ads, UGC videos and websites with many AI models - [Evernote](https://chatgptplugins.directory/apps/evernote.md): Search, edit and organize your Evernote notes and tasks - [Atlassian Rovo](https://chatgptplugins.directory/apps/atlassian-rovo.md): Work with Jira, Confluence, Bitbucket and Loom from chat - [Trello](https://chatgptplugins.directory/apps/trello.md): Create boards and manage Trello cards in natural language - [Apartments.com](https://chatgptplugins.directory/apps/apartments-com.md): Search Apartments.com rentals, check availability and schedule tours - [Runway](https://chatgptplugins.directory/apps/runway.md): Generate and edit images, video and audio with AI models - [Render](https://chatgptplugins.directory/apps/render.md): Deploy, debug and manage Render services from ChatGPT - [MongoDB Atlas](https://chatgptplugins.directory/apps/mongodb-atlas.md): Query MongoDB data and manage Atlas clusters - [IHG Hotels & Resorts](https://chatgptplugins.directory/apps/ihg-hotels-resorts.md): Search 7,000+ IHG hotels including Holiday Inn, Kimpton and InterContinental - [Etsy](https://chatgptplugins.directory/apps/etsy.md): Search and compare items from independent Etsy sellers - [Descript](https://chatgptplugins.directory/apps/descript.md): Edit video and podcasts by describing what you want - [Hilton Hotel Search](https://chatgptplugins.directory/apps/hilton-hotel-search.md): Find Hilton hotels, compare prices and check details before booking - [DeepL](https://chatgptplugins.directory/apps/deepl.md): Translate text and whole documents across 100+ languages - [Datadog](https://chatgptplugins.directory/apps/datadog.md): Query and chart Datadog metrics, logs, traces and incidents - [HelloFresh](https://chatgptplugins.directory/apps/hellofresh.md): Filter HelloFresh's weekly meal kit menu by time, nutrition and ingredients - [Miro](https://chatgptplugins.directory/apps/miro.md): Summarize, update and build Miro boards - [Fandango](https://chatgptplugins.directory/apps/fandango.md): Find movies, showtimes and Rotten Tomatoes scores - [Supabase](https://chatgptplugins.directory/apps/supabase.md): Manage Supabase projects, run SQL and deploy edge functions - [Lucid](https://chatgptplugins.directory/apps/lucid.md): Generate Lucidchart diagrams and summarize your boards - [Mercury](https://chatgptplugins.directory/apps/mercury.md): Ask questions about your Mercury business bank accounts - [Picsart](https://chatgptplugins.directory/apps/picsart.md): Generate and edit images, video and audio with Picsart AI models - [Shutterstock](https://chatgptplugins.directory/apps/shutterstock.md): Search and download stock images, video, music and sound effects - [Mixpanel](https://chatgptplugins.directory/apps/mixpanel.md): Run segmentation, funnel and retention analysis on Mixpanel data - [Trainline](https://chatgptplugins.directory/apps/trainline.md): Check train times and prices across the UK and Europe - [trivago](https://chatgptplugins.directory/apps/trivago.md): Compare hotel prices from multiple booking sites - [Tubi](https://chatgptplugins.directory/apps/tubi.md): Get recommendations for free shows and movies, plus trivia - [Webflow](https://chatgptplugins.directory/apps/webflow.md): Design, build and manage Webflow sites and CMS content - [Superhuman Mail](https://chatgptplugins.directory/apps/superhuman-mail.md): Search, summarize and draft email across Gmail, Outlook and Google Calendar - [Wolfram](https://chatgptplugins.directory/apps/wolfram.md): Add Wolfram Language computation and curated knowledge - [Docusign](https://chatgptplugins.directory/apps/docusign.md): Create and send contracts and surface agreement insights - [Elicit](https://chatgptplugins.directory/apps/elicit.md): Search 125M+ academic papers and generate structured research reports - [idealista](https://chatgptplugins.directory/apps/idealista.md): Find properties to buy or rent in Spain, Italy and Portugal - [LinkedIn](https://chatgptplugins.directory/apps/linkedin.md): Look up professionals and their LinkedIn profiles - [Kahoot!](https://chatgptplugins.directory/apps/kahoot.md): Create kahoots instantly - [Gamma](https://chatgptplugins.directory/apps/gamma.md): Create presentations, docs and social posts - [Shopify](https://chatgptplugins.directory/apps/shopify.md): Create and manage an online store from ChatGPT - [edX](https://chatgptplugins.directory/apps/edx.md): Browse, search and compare edX courses and programs - [Attio](https://chatgptplugins.directory/apps/attio.md): Search, create and update Attio CRM records in conversation - [Indeed Job Search](https://chatgptplugins.directory/apps/indeed-job-search.md): Search Indeed jobs that match your resume and career goals - [Neon](https://chatgptplugins.directory/apps/neon.md): Run SQL, branch databases and apply migrations on Neon Postgres - [GetYourGuide](https://chatgptplugins.directory/apps/getyourguide.md): Discover and book from 75,000+ tours, activities and attractions - [Calendly](https://chatgptplugins.directory/apps/calendly.md): Create event types, share links and book or cancel meetings - [Granola](https://chatgptplugins.directory/apps/granola.md): Pull context from your past meeting notes into ChatGPT - [Ahrefs](https://chatgptplugins.directory/apps/ahrefs.md): Keyword, backlink and competitor analysis, including AI search visibility - [Turo](https://chatgptplugins.directory/apps/turo.md): Search Turo's peer-to-peer car rentals by describing your trip - [Asana](https://chatgptplugins.directory/apps/asana.md): Turn chats into Asana projects, tasks and status updates - [Udemy](https://chatgptplugins.directory/apps/udemy.md): Turn learning goals into Udemy course recommendations - [Apollo.io](https://chatgptplugins.directory/apps/apollo-io.md): Prospect, enrich contacts and run outbound in your Apollo workspace - [Interactive Brokers (IBKR)](https://chatgptplugins.directory/apps/interactive-brokers.md): Review your IBKR portfolio and market data, and draft trades for approval - [Kelley Blue Book](https://chatgptplugins.directory/apps/kelley-blue-book.md): Look up your used car's trade-in and private party value - [McAfee](https://chatgptplugins.directory/apps/mcafee.md): Real-time scam detection for messages and links - [Klarna Shopping Search](https://chatgptplugins.directory/apps/klarna-shopping-search.md): Search millions of products and compare prices across stores - [Ryanair](https://chatgptplugins.directory/apps/ryanair.md): Search Ryanair routes and fares, then book on Ryanair.com - [Grubhub](https://chatgptplugins.directory/apps/grubhub.md): Search restaurants and full menus and order delivery from Grubhub - [SeatGeek](https://chatgptplugins.directory/apps/seatgeek.md): Find events and browse ticket listings on interactive venue maps - [Priceline](https://chatgptplugins.directory/apps/priceline.md): Search hotels on an interactive map with live Priceline deals - [italki](https://chatgptplugins.directory/apps/italki.md): Find language tutors, group classes and level tests - [Turkish Airlines](https://chatgptplugins.directory/apps/turkish-airlines.md): Plan and book Turkish Airlines flights and check flight status - [MyFitnessPal](https://chatgptplugins.directory/apps/myfitnesspal.md): Meal plans, recipes and personalized nutrition guidance - [Skyscanner](https://chatgptplugins.directory/apps/skyscanner.md): Compare cheap flights across airlines and travel providers - [Viator](https://chatgptplugins.directory/apps/viator.md): Find and compare tours, attractions and experiences - [Kiwi.com](https://chatgptplugins.directory/apps/kiwi-com.md): Flexible flight search with nearby airports and virtual interlining - [Shazam](https://chatgptplugins.directory/apps/shazam.md): Identify songs playing around you and save them to Shazam - [invideo](https://chatgptplugins.directory/apps/invideo.md): Turn a text prompt into a finished video of any length - [Todoist](https://chatgptplugins.directory/apps/todoist.md): Add, view and organize your Todoist tasks and reminders - [Malwarebytes](https://chatgptplugins.directory/apps/malwarebytes.md): Check links, domains, emails and phone numbers for scams - [Redfin](https://chatgptplugins.directory/apps/redfin.md): Find and tour homes for sale through conversation - [Consensus](https://chatgptplugins.directory/apps/consensus.md): Search and synthesize 220M+ peer-reviewed papers - [Hyatt](https://chatgptplugins.directory/apps/hyatt.md): Search Hyatt hotels with real-time availability and rates - [DoorDash](https://chatgptplugins.directory/apps/doordash.md): Turn recipes and meal plans into a grocery delivery cart - [Dropbox](https://chatgptplugins.directory/apps/dropbox.md): Find, save, share and organize your Dropbox files - [Quizlet](https://chatgptplugins.directory/apps/quizlet.md): Create flashcard sets from any prompt or file - [StubHub](https://chatgptplugins.directory/apps/stubhub.md): Browse events and find tickets - [Adobe Express](https://chatgptplugins.directory/apps/adobe-express.md): Design posts, flyers and invitations from templates - [Airtable](https://chatgptplugins.directory/apps/airtable.md): Query, create and update Airtable records in conversation - [Lovable](https://chatgptplugins.directory/apps/lovable.md): Build and edit full-stack web apps by chat - [Uber](https://chatgptplugins.directory/apps/uber.md): Get ride price and ETA estimates - [Hugging Face](https://chatgptplugins.directory/apps/hugging-face.md): Explore models, datasets, Spaces and papers on the Hub - [PitchBook](https://chatgptplugins.directory/apps/pitchbook.md): Private capital market data on firms, deals and funds for PitchBook clients - [Apple Music](https://chatgptplugins.directory/apps/apple-music.md): Build playlists and find music in Apple Music - [Adobe Acrobat](https://chatgptplugins.directory/apps/adobe-acrobat.md): Edit, merge, convert and organize PDFs - [Zoom](https://chatgptplugins.directory/apps/zoom.md): Get recaps and insights from your Zoom meetings - [Gusto](https://chatgptplugins.directory/apps/gusto.md): Run payroll and get team insights - [TheFork](https://chatgptplugins.directory/apps/thefork.md): Find and book restaurants across Europe - [Adobe](https://chatgptplugins.directory/apps/adobe.md): Edit photos, videos and documents across Creative Cloud and Acrobat - [Uber Eats](https://chatgptplugins.directory/apps/uber-eats.md): Explore restaurants and dishes available for delivery - [AccuWeather](https://chatgptplugins.directory/apps/accuweather.md): Hyper-local forecasts, MinuteCast precipitation and severe weather alerts - [CARFAX](https://chatgptplugins.directory/apps/carfax.md): Shop new, used and certified pre-owned cars with vehicle history - [ZoomInfo](https://chatgptplugins.directory/apps/zoominfo.md): B2B company and contact intelligence for prospecting and research - [Target](https://chatgptplugins.directory/apps/target.md): Get shopping ideas, build baskets and check out with Target - [Salesforce](https://chatgptplugins.directory/apps/salesforce.md): Bring Salesforce CRM context into ChatGPT to close deals - [Khan Academy](https://chatgptplugins.directory/apps/khan-academy.md): Generate K-12 math practice and assign it to your classroom - [Tripadvisor](https://chatgptplugins.directory/apps/tripadvisor.md): Find top-rated hotels with reviews on an interactive map - [$nipp](https://chatgptplugins.directory/apps/nipp.md): Find Deals. 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[Converly](https://chatgptplugins.directory/apps/converly.md): Easy conversion tracking - [Convex](https://chatgptplugins.directory/apps/convex.md): Build and scale apps - [ConvRadar: CRO for GA4](https://chatgptplugins.directory/apps/convradar-cro-for-ga4.md): Audit your GA4 conversion rate - [Cookiedeal](https://chatgptplugins.directory/apps/cookiedeal.md): Find Korean company data - [CookieYes](https://chatgptplugins.directory/apps/cookieyes.md): Web privacy & cookie consent - [Corezoid](https://chatgptplugins.directory/apps/corezoid.md): Corezoid processes in your IDE - [Coronet Arcade](https://chatgptplugins.directory/apps/coronet-arcade.md): Thirteen daily puzzles - [Counter](https://chatgptplugins.directory/apps/counter.md): Quote jobs from your prices - [Coveo](https://chatgptplugins.directory/apps/coveo.md): Search your enterprise content - [Coverlttr](https://chatgptplugins.directory/apps/coverlttr.md): Write tailored cover letters - [Craftian](https://chatgptplugins.directory/apps/craftian.md): Create fully working web apps - 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[Dramatica](https://chatgptplugins.directory/apps/dramatica.md): Develop and inspect Storyforms - [drawnames](https://chatgptplugins.directory/apps/drawnames.md): Organize your Secret Santa - [Dreambooth Studio](https://chatgptplugins.directory/apps/dreambooth-studio.md): Start and run a photobooth - [DREAMHALL](https://chatgptplugins.directory/apps/dreamhall.md): Private self-care workspace - [Drivethrough](https://chatgptplugins.directory/apps/drivethrough.md): Build and publish websites - [Drivetrain](https://chatgptplugins.directory/apps/drivetrain.md): Analyze data from Drivetrain - [DropTrack](https://chatgptplugins.directory/apps/droptrack.md): Analyze and promote music - [DSTI School of Engineering](https://chatgptplugins.directory/apps/dsti-school-of-engineering.md): Apply to DSTI programmes - [Dubai Wealth Index](https://chatgptplugins.directory/apps/dubai-wealth-index.md): Registered Dubai property data - [Earlflow](https://chatgptplugins.directory/apps/earlflow.md): Analyze store profit and ads - [Easybook](https://chatgptplugins.directory/apps/easybook.md): Book Bus, Ferry & Train Trips - [EasyReply](https://chatgptplugins.directory/apps/easyreply.md): Customer Support Platform - [EBHOOM EMS](https://chatgptplugins.directory/apps/ebhoom-ems.md): Live EMS status - [EbooksDepository](https://chatgptplugins.directory/apps/ebooksdepository.md): Search book metadata - [ECDB](https://chatgptplugins.directory/apps/ecdb.md): Use ECDB in ChatGPT - [eCore Enrichment Email Phone](https://chatgptplugins.directory/apps/ecore-enrichment-email-phone.md): Find B2B contacts and emails - [Edgio Signals](https://chatgptplugins.directory/apps/edgio-signals.md): Aktien & Sektoren einordnen - [EduInsights](https://chatgptplugins.directory/apps/eduinsights.md): Research colleges and careers - [EduRolia](https://chatgptplugins.directory/apps/edurolia.md): Review your admissions CRM - [Edvoy](https://chatgptplugins.directory/apps/edvoy.md): Find study abroad options - [Elecz - Electricity Prices](https://chatgptplugins.directory/apps/elecz-electricity-prices.md): Real-time Electricity Prices - [ElevenFlo](https://chatgptplugins.directory/apps/elevenflo.md): Bankruptcy data & research - [Elodus](https://chatgptplugins.directory/apps/elodus.md): Plan, research, and build - [Embat](https://chatgptplugins.directory/apps/embat.md): Chat with Embat - [EmbedSocial](https://chatgptplugins.directory/apps/embedsocial.md): Your UGC and widget analytics - [Embrasure](https://chatgptplugins.directory/apps/embrasure.md): Trace failures and lineage - [emem](https://chatgptplugins.directory/apps/emem.md): Signed facts about real places - [EMLAKIE](https://chatgptplugins.directory/apps/emlakie.md): Search rental listings - [EmpirioLabs AI](https://chatgptplugins.directory/apps/empiriolabs-ai.md): Run 180+ AI models as tools - [Encore](https://chatgptplugins.directory/apps/encore.md): Understand your cloud apps - [Endless U](https://chatgptplugins.directory/apps/endless-u.md): Structured learning in Chat - [Enginy](https://chatgptplugins.directory/apps/enginy.md): Find and reach B2B contacts - [Enoki](https://chatgptplugins.directory/apps/enoki.md): Security testing for AI agents - [Enrow](https://chatgptplugins.directory/apps/enrow.md): Find and verify contact data - [Epinium](https://chatgptplugins.directory/apps/epinium.md): Amazon Ads and catalog data - [Equibles](https://chatgptplugins.directory/apps/equibles.md): Stock market and options data - [Era Context](https://chatgptplugins.directory/apps/era-context.md): Manage personal finance - [esigna](https://chatgptplugins.directory/apps/esigna.md): Design your email signature - [eSignatures.com](https://chatgptplugins.directory/apps/esignaturescom.md): Draft, send & manage contracts - [Essentio](https://chatgptplugins.directory/apps/essentio.md): Invoices and VAT from chat - [Etherscan](https://chatgptplugins.directory/apps/etherscan.md): Explore live blockchain data - [Etkinlinkler](https://chatgptplugins.directory/apps/etkinlinkler.md): Etkinlik ve bilet karşılaştır - [Euroland App](https://chatgptplugins.directory/apps/euroland-app.md): Visualize financial data - [EventHex](https://chatgptplugins.directory/apps/eventhex.md): Manage events and attendees - [Everest Group AI](https://chatgptplugins.directory/apps/everest-group-ai.md): Access Everest Group research - [Everlaw](https://chatgptplugins.directory/apps/everlaw.md): Search and analyze evidence - [Evidence Studio](https://chatgptplugins.directory/apps/evidence-studio.md): Chat with your Evidence data - [Exa](https://chatgptplugins.directory/apps/exa.md): Web search for AI agents - [Exness MCP](https://chatgptplugins.directory/apps/exness-mcp.md): Exness API documentation - [ExpenseBot](https://chatgptplugins.directory/apps/expensebot.md): Track receipts and expenses - [Expertise Live Chatbot](https://chatgptplugins.directory/apps/expertise-live-chatbot.md): Build chatbot from websites - [ExplorationMaps](https://chatgptplugins.directory/apps/explorationmaps.md): Map and search mineral claims - [Extend](https://chatgptplugins.directory/apps/extend.md): Turn documents into data - [Extract](https://chatgptplugins.directory/apps/extract.md): Manage data pipelines - [Eydost Esim](https://chatgptplugins.directory/apps/eydost-esim.md): Instant eSIM in 150+ countries - [EzzyBills](https://chatgptplugins.directory/apps/ezzybills.md): Build apps with EzzyBills APIs - [Fablyn](https://chatgptplugins.directory/apps/fablyn.md): Create videos and slides - [FactIQ](https://chatgptplugins.directory/apps/factiq.md): Financial and economic data - [FactSet AI-Ready Data](https://chatgptplugins.directory/apps/factset-ai-ready-data.md): Seamless Financial Data - [fal](https://chatgptplugins.directory/apps/fal.md): AI image and video generation - [Faraday](https://chatgptplugins.directory/apps/faraday.md): Customer context platform - [Farmbit](https://chatgptplugins.directory/apps/farmbit.md): Plan your orchard scout - [fastwrite](https://chatgptplugins.directory/apps/fastwrite.md): Chat with academic literature - [FeedBoss](https://chatgptplugins.directory/apps/feedboss.md): Draft and score LinkedIn posts - [Feedoptimise](https://chatgptplugins.directory/apps/feedoptimise.md): Product feed management - 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[Firecrawl](https://chatgptplugins.directory/apps/firecrawl.md): Search and access more data - [Fiscal.ai](https://chatgptplugins.directory/apps/fiscalai.md): Research public companies - [FishFriender](https://chatgptplugins.directory/apps/fishfriender.md): Your fishing companion - [Fiveable for AP Students](https://chatgptplugins.directory/apps/fiveable-for-ap-students.md): Study for every AP class - [FlatHunt](https://chatgptplugins.directory/apps/flathunt.md): Furnished housing in Berlin - [Flatma](https://chatgptplugins.directory/apps/flatma.md): Create 3D Cabinets & Furniture - [Flatre](https://chatgptplugins.directory/apps/flatre.md): Manage real estate deals - [FlawPilot](https://chatgptplugins.directory/apps/flawpilot.md): Web Security & SEO Scanner - [Flightcat](https://chatgptplugins.directory/apps/flightcat.md): Flexible flight search engine - [FlightQueue](https://chatgptplugins.directory/apps/flightqueue.md): Airport waits and delays - [Flippo AI](https://chatgptplugins.directory/apps/flippo-ai.md): Track resale stock and profit - 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Slides by Brightdeck](https://chatgptplugins.directory/apps/ai-slides-by-brightdeck.md): Create slides and presentation - [AB Projects](https://chatgptplugins.directory/apps/ab-projects.md): AI Actions for MS Teams - [Academic Writing Toolkit](https://chatgptplugins.directory/apps/academic-writing-toolkit.md): Review academic drafts - [Admit Coach University Finder](https://chatgptplugins.directory/apps/admit-coach-university-finder.md): Find U.S. universities - [AfAMax Property Calculations](https://chatgptplugins.directory/apps/afamax-property-calculations.md): German property calculations - [Agentic Search by Liner](https://chatgptplugins.directory/apps/agentic-search-by-liner.md): Web, papers & PDFs — cited - [AI Attorney Pakistan](https://chatgptplugins.directory/apps/ai-attorney-pakistan.md): Pakistani Legal Research - [AJAXX Data Scrubber](https://chatgptplugins.directory/apps/ajaxx-data-scrubber.md): Remove exposed personal data - [Algorithmic Ink](https://chatgptplugins.directory/apps/algorithmic-ink.md): Turn photos into vector art - [Analytics Brain](https://chatgptplugins.directory/apps/analytics-brain.md): Search Witbee's expert guides - [API Impact Mapper](https://chatgptplugins.directory/apps/api-impact-mapper.md): Map API changes and impacts - [API Lessons](https://chatgptplugins.directory/apps/api-lessons.md): Find API and MCP training - [Asbie](https://chatgptplugins.directory/apps/asbie.md): Your AI Business Buddy - [Ask the Grid](https://chatgptplugins.directory/apps/ask-the-grid.md): Explore US power markets - [Aurora](https://chatgptplugins.directory/apps/aurora.md): Access data with Consilio - [AWS Data Analytics](https://chatgptplugins.directory/apps/aws-data-analytics.md): AWS Data Analytics Plugin - [Azadea One](https://chatgptplugins.directory/apps/azadea-one.md): Governed Azadea BI insights - [B&A: Sketch](https://chatgptplugins.directory/apps/ba-sketch.md): Draw and visualize ideas - [Bank Statement Conversion](https://chatgptplugins.directory/apps/bank-statement-conversion.md): Bank statements to CSV/OFX - [beglaubigt.de](https://chatgptplugins.directory/apps/beglaubigtde.md): Incorporate a German company! - [BencinaMCP](https://chatgptplugins.directory/apps/bencinamcp.md): Chile fuel monitor - [Book Report](https://chatgptplugins.directory/apps/book-report.md): Analyze your author sales data - [Born To Banger](https://chatgptplugins.directory/apps/born-to-banger.md): Make your event unforgettable - [BranchDeploy](https://chatgptplugins.directory/apps/branchdeploy.md): Deploy Azure DevOps Work Items - [BuildBetter.ai](https://chatgptplugins.directory/apps/buildbetterai.md): Product and customer context - [Campaign Requirement Extractor](https://chatgptplugins.directory/apps/campaign-requirement-extractor.md): Extract campaign fields - [Catalog CLI Pro](https://chatgptplugins.directory/apps/catalog-cli-pro.md): Audit Amazon catalogs - [CE Cosmos Deep Dive](https://chatgptplugins.directory/apps/ce-cosmos-deep-dive.md): Granular access to CE data - [ChatData Sync](https://chatgptplugins.directory/apps/chatdata-sync.md): Track anything you describe - [CoachPilot](https://chatgptplugins.directory/apps/coachpilot.md): Seus alunos e treinos no chat - [Collecte MTL](https://chatgptplugins.directory/apps/collecte-mtl.md): Find Montréal collection days - [Componecat](https://chatgptplugins.directory/apps/componecat.md): Explore your software catalog - [Consult with Roy](https://chatgptplugins.directory/apps/consult-with-roy.md): Talk to Roy's Concierge Agent - [Contact Center AI Association](https://chatgptplugins.directory/apps/contact-center-ai-association.md): Resource for CCAIA members - [Content Brief Extractor](https://chatgptplugins.directory/apps/content-brief-extractor.md): Extract content brief fields - [D-Tools Cloud](https://chatgptplugins.directory/apps/d-tools-cloud.md): Query D-Tools Cloud data - [D&B Risk Analytics](https://chatgptplugins.directory/apps/db-risk-analytics.md): Execute Risk workflows - [Daily Command](https://chatgptplugins.directory/apps/daily-command.md): Daily Command - [Data Dolphin](https://chatgptplugins.directory/apps/data-dolphin.md): Dolphin Technical Context - [Deal Analyzer MCP](https://chatgptplugins.directory/apps/deal-analyzer-mcp.md): Analyze rental deals - [Dependency Upgrade Plan](https://chatgptplugins.directory/apps/dependency-upgrade-plan.md): Plan dependency upgrades - [Digimarket](https://chatgptplugins.directory/apps/digimarket.md): Find industrial stock - [Discipline Rewards (D/R)](https://chatgptplugins.directory/apps/discipline-rewards-dr.md): Plan anywhere. 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[MCP Server For WordPress](https://chatgptplugins.directory/apps/mcp-server-for-wordpress.md): Securely manage your WordPress - [MediPrep Study Navigator](https://chatgptplugins.directory/apps/mediprep-study-navigator.md): Map lectures to study routes - [Meow Map](https://chatgptplugins.directory/apps/meow-map.md): Find cats wherever you are - [Minter.io](https://chatgptplugins.directory/apps/minterio.md): Social Media Analytics - [MSDS Chain](https://chatgptplugins.directory/apps/msds-chain.md): Chemical safety for lab work - [Multiples.vc](https://chatgptplugins.directory/apps/multiplesvc.md): Public comps, M&A and VC data - [mysaas.lol](https://chatgptplugins.directory/apps/mysaaslol.md): Find relevant SaaS memes - [Nash Agent](https://chatgptplugins.directory/apps/nash-agent.md): AI-powered shopping agent - [Neura Relay MCP](https://chatgptplugins.directory/apps/neura-relay-mcp.md): Govern agent actions - [NewTwos](https://chatgptplugins.directory/apps/newtwos.md): Capture lists, to-dos & notes - [No Bike No Life](https://chatgptplugins.directory/apps/no-bike-no-life.md): Motorräder, Routen, Wetter - [NORMS: Evidence & Scope](https://chatgptplugins.directory/apps/norms-evidence-scope.md): Structured evidence checks - [Nuboo](https://chatgptplugins.directory/apps/nuboo.md): Manage real estate sales - [Octopus.do](https://chatgptplugins.directory/apps/octopusdo.md): Build and edit sitemaps - [OpenAI Certified](https://chatgptplugins.directory/apps/openai-certified.md): Learn practical AI skills inside ChatGPT and earn OpenAI Certified credentials. - [Parra-Glideator](https://chatgptplugins.directory/apps/parra-glideator.md): Plan your next flight. - [PartnerProf - Quanntum Core](https://chatgptplugins.directory/apps/partnerprof-quanntum-core.md): Assess state feasibility - [Perigee Fishing](https://chatgptplugins.directory/apps/perigee-fishing.md): Plan better fishing sessions - [Pi by Placer.ai](https://chatgptplugins.directory/apps/pi-by-placerai.md): Physical world, answered - [Pipeline Claims](https://chatgptplugins.directory/apps/pipeline-claims.md): Review deidentified demands - [Pixlie](https://chatgptplugins.directory/apps/pixlie.md): Write cinematic text-to-video - [Play Face to Face](https://chatgptplugins.directory/apps/play-face-to-face.md): Play games with friends - [Post Metadata Extractor](https://chatgptplugins.directory/apps/post-metadata-extractor.md): Extract social post fields - [Precise Special Functions](https://chatgptplugins.directory/apps/precise-special-functions.md): High-precision math functions - [Product Information API](https://chatgptplugins.directory/apps/product-information-api.md): Watch product availability - [ProdVerity](https://chatgptplugins.directory/apps/prodverity.md): Verify production releases - [Project Kickoff Pack](https://chatgptplugins.directory/apps/project-kickoff-pack.md): Create project kickoff packs - [Property Index Dubai](https://chatgptplugins.directory/apps/property-index-dubai.md): Dubai Real Estate Data - [Property Video](https://chatgptplugins.directory/apps/property-video.md): Write natural property scripts - [Proto](https://chatgptplugins.directory/apps/proto.md): Biological AI models and tools - [Rebarly](https://chatgptplugins.directory/apps/rebarly.md): Construction Code with ChatGPT - [Recruiter Roles](https://chatgptplugins.directory/apps/recruiter-roles.md): Find recruiter jobs & salaries - [RegioJet](https://chatgptplugins.directory/apps/regiojet.md): Book train and bus tickets - [Relay](https://chatgptplugins.directory/apps/relay.md): Plan and manage training - [REMAX D-A-CH](https://chatgptplugins.directory/apps/remax-d-a-ch.md): REMAX property listings - [restplass.no](https://chatgptplugins.directory/apps/restplassno.md): Charter og pakkereiser - [ride.auto](https://chatgptplugins.directory/apps/rideauto.md): Find cars from trusted hosts - [Road Trip Planner](https://chatgptplugins.directory/apps/road-trip-planner.md): Find campground stays - [Roam Rule](https://chatgptplugins.directory/apps/roam-rule.md): Check tax and visa limits - [Rosetta](https://chatgptplugins.directory/apps/rosetta.md): Save notes, reminders, links - [RouteStack.ai](https://chatgptplugins.directory/apps/routestackai.md): Find hotels, flights, cars - [S&P Global - Adaptive](https://chatgptplugins.directory/apps/sp-global-adaptive.md): Built for complex workflows - [S&P Global - Deterministic](https://chatgptplugins.directory/apps/sp-global-deterministic.md): Built for precise queries - [Self Plagiarism Checker](https://chatgptplugins.directory/apps/self-plagiarism-checker.md): Compare pasted text - [Smooth Bundle](https://chatgptplugins.directory/apps/smooth-bundle.md): AI asset publishing - [Sonar ASO](https://chatgptplugins.directory/apps/sonar-aso.md): App store optimization - [Spanish Law Research](https://chatgptplugins.directory/apps/spanish-law-research.md): Researching Spanish laws - [SRS (Spaced Repitation System)](https://chatgptplugins.directory/apps/srs-spaced-repitation-system.md): Learn • Review • Master - [StudyMe.ai](https://chatgptplugins.directory/apps/studymeai.md): Education: Teach with 1 link - [Swarm by Foursquare](https://chatgptplugins.directory/apps/swarm-by-foursquare.md): Find and save great places - [Tariff Code Compliance](https://chatgptplugins.directory/apps/tariff-code-compliance.md): Research tariff codes - [TechSource Marketplace](https://chatgptplugins.directory/apps/techsource-marketplace.md): Shop tech & find products - [Tela](https://chatgptplugins.directory/apps/tela.md): Team wiki with semantic search - [TG Finder](https://chatgptplugins.directory/apps/tg-finder.md): Find anyone on Telegram - [the brand id](https://chatgptplugins.directory/apps/the-brand-id.md): Use live brand data - [The Coin Daily](https://chatgptplugins.directory/apps/the-coin-daily.md): Crypto market research - [Timezone Buddy](https://chatgptplugins.directory/apps/timezone-buddy.md): Time zone meeting helper - [toflow.ai](https://chatgptplugins.directory/apps/toflowai.md): Prospect, enrich, and outreach - [ToolCheck by M8ven](https://chatgptplugins.directory/apps/toolcheck-by-m8ven.md): Is this MCP safe to connect? - [TopCounsel](https://chatgptplugins.directory/apps/topcounsel.md): Find outside counsel - [WAS Travel Insurance](https://chatgptplugins.directory/apps/was-travel-insurance.md): Compare travel insurance - [Weft](https://chatgptplugins.directory/apps/weft.md): Scrumban tasks and sprints - [WitCloud](https://chatgptplugins.directory/apps/witcloud.md): Chat with your business data - [WonderWorks](https://chatgptplugins.directory/apps/wonderworks.md): Generate AI Videos & Media - [Wordspace](https://chatgptplugins.directory/apps/wordspace.md): Hot and cold with words - [Worldschedule](https://chatgptplugins.directory/apps/worldschedule-distribusion-technologies.md): Find & book bus/train tickets - [WunderCineMate](https://chatgptplugins.directory/apps/wundercinemate.md): Discover and manage Movies! - [Xero Connector by Meridian](https://chatgptplugins.directory/apps/xero-connector-by-meridian.md): Read and update Xero - [المكتبة الشاملة](https://chatgptplugins.directory/apps/shamela.md): Search the Shamela library - [교보문고](https://chatgptplugins.directory/apps/kyobobook.md): Discover Books, Find Your Read - [이심통](https://chatgptplugins.directory/apps/esimtong.md): 여행 USIM 추천 - [今天训练](https://chatgptplugins.directory/apps/jintianxunlian.md): 健身训练记录与身体趋势分析 - [受験王](https://chatgptplugins.directory/apps/aster-link.md): Save custom study questions - [實價AI](https://chatgptplugins.directory/apps/shijia-ai.md): 台灣房價行情 - [小テストジェネレーター](https://chatgptplugins.directory/apps/printgenerator.md): Study with word lists ## MCP Servers - [Chrome DevTools MCP](https://chatgptplugins.directory/mcp/chrome-devtools.md): Let coding agents control and debug a live Chrome browser - [Playwright MCP](https://chatgptplugins.directory/mcp/playwright.md): Browser automation for agents via Playwright accessibility snapshots - [GitHub](https://chatgptplugins.directory/mcp/github.md): Manage repos, issues, pull requests and Actions from your AI agent - [Context7](https://chatgptplugins.directory/mcp/context7.md): Pull up-to-date, version-specific library docs into your coding agent - [Notion](https://chatgptplugins.directory/mcp/notion.md): Search, read, and write Notion pages, databases, and comments via hosted MCP - [Excalidraw](https://chatgptplugins.directory/mcp/excalidraw.md): Draw hand-drawn Excalidraw diagrams live inside ChatGPT, Claude and VS Code - [Supabase](https://chatgptplugins.directory/mcp/supabase.md): Manage Supabase databases, migrations, edge functions and logs - [Stripe](https://chatgptplugins.directory/mcp/stripe.md): Query and act on your Stripe account and search Stripe docs from any agent - [Atlassian Rovo (Jira & Confluence)](https://chatgptplugins.directory/mcp/atlassian-rovo.md): Work with Jira issues and Confluence pages through Atlassian's hosted MCP - [Sentry](https://chatgptplugins.directory/mcp/sentry.md): Search Sentry errors, issues and traces and debug them with Seer - [Browser Use](https://chatgptplugins.directory/mcp/browser-use.md): Run Browser Use cloud browser agents or control a local browser over MCP - [Filesystem](https://chatgptplugins.directory/mcp/filesystem.md): Secure local file operations with configurable directory access - [Git](https://chatgptplugins.directory/mcp/git.md): Read, search and manipulate local Git repositories - [Everything](https://chatgptplugins.directory/mcp/everything.md): Reference test server exercising every MCP protocol feature - [Memory](https://chatgptplugins.directory/mcp/memory.md): Knowledge graph-based persistent memory across conversations - [Mem0](https://chatgptplugins.directory/mcp/mem0.md): Hosted long-term memory for AI agents and clients - [shadcn/ui](https://chatgptplugins.directory/mcp/shadcn-ui.md): Browse, search and install shadcn/ui components and registry blocks - [Time](https://chatgptplugins.directory/mcp/time.md): Current time and timezone conversions using IANA timezones - [Sequential Thinking](https://chatgptplugins.directory/mcp/sequential-thinking.md): Structured, reflective step-by-step problem solving for LLMs - [Fetch](https://chatgptplugins.directory/mcp/fetch.md): Fetch web pages and convert them to markdown for LLMs - [Serena](https://chatgptplugins.directory/mcp/serena.md): Semantic code retrieval and editing toolkit for coding agents - [Graphiti MCP](https://chatgptplugins.directory/mcp/graphiti.md): Temporal knowledge graph memory for agents, by Zep - [Task Master](https://chatgptplugins.directory/mcp/task-master.md): AI-powered task management from PRDs for coding agents - [Figma](https://chatgptplugins.directory/mcp/figma.md): Bring Figma design context into code and write designs back to the canvas - [Cloudflare API](https://chatgptplugins.directory/mcp/cloudflare-api.md): Access 2,500+ Cloudflare API endpoints through two Code Mode tools - [Vercel](https://chatgptplugins.directory/mcp/vercel.md): Manage Vercel projects, deployments, logs and docs from AI tools - [WordPress.com](https://chatgptplugins.directory/mcp/wordpress-com.md): Draft, edit and manage posts, pages and comments on your WordPress.com sites - [MCP Toolbox for Databases](https://chatgptplugins.directory/mcp/mcp-toolbox-databases.md): Google's open-source MCP server for 20+ databases - [DeepWiki](https://chatgptplugins.directory/mcp/deepwiki.md): Ask questions about any public GitHub repo using DeepWiki's generated docs - [OpenAI Docs MCP](https://chatgptplugins.directory/mcp/openai-docs.md): Search and read OpenAI's developer documentation from Codex or any MCP client - [PostHog](https://chatgptplugins.directory/mcp/posthog.md): Query product analytics, feature flags, experiments and errors in PostHog - [Linear](https://chatgptplugins.directory/mcp/linear.md): Find, create and update Linear issues, projects and comments - [Desktop Commander](https://chatgptplugins.directory/mcp/desktop-commander.md): Terminal control, process management and file editing for AI - [Apify](https://chatgptplugins.directory/mcp/apify.md): Run thousands of Apify Actors for scraping and automation from your agent - [Firecrawl](https://chatgptplugins.directory/mcp/firecrawl.md): Scrape, search, crawl and interact with live web pages for LLMs - [AWS Knowledge](https://chatgptplugins.directory/mcp/aws-knowledge.md): Search current AWS docs, API references and regional availability - [ElevenLabs](https://chatgptplugins.directory/mcp/elevenlabs.md): Build and manage ElevenLabs voice agents and generate speech - [AWS API](https://chatgptplugins.directory/mcp/aws-api.md): Run validated AWS CLI commands from natural language - [Cloudflare Workers Bindings](https://chatgptplugins.directory/mcp/cloudflare-workers-bindings.md): Manage Workers, KV, R2, D1 and Hyperdrive resources - [XcodeBuildMCP](https://chatgptplugins.directory/mcp/xcodebuildmcp.md): Build, run and test iOS and macOS apps from AI agents - [21st MCP (Magic MCP)](https://chatgptplugins.directory/mcp/21st-magic.md): Search and generate React/Tailwind UI components from your editor - [Grafana](https://chatgptplugins.directory/mcp/grafana.md): Search dashboards and query Prometheus, Loki and more in Grafana - [Exa](https://chatgptplugins.directory/mcp/exa.md): AI-native web search, page fetching and multi-step research via Exa - [Bright Data](https://chatgptplugins.directory/mcp/bright-data.md): Unblocked web search, scraping and structured data from 40+ platforms - [Google Analytics](https://chatgptplugins.directory/mcp/google-analytics.md): Run GA4 reports and realtime queries from your AI assistant - [Azure DevOps](https://chatgptplugins.directory/mcp/azure-devops.md): Work with Azure DevOps repos, pull requests, work items, pipelines and wikis - [Browserbase](https://chatgptplugins.directory/mcp/browserbase.md): Cloud browser automation for agents powered by Stagehand - [Cloudflare Observability](https://chatgptplugins.directory/mcp/cloudflare-observability.md): Query Cloudflare Workers logs and metrics to debug your apps - [Cloudflare Docs](https://chatgptplugins.directory/mcp/cloudflare-docs.md): Search up-to-date Cloudflare developer documentation - [HashiCorp Terraform](https://chatgptplugins.directory/mcp/terraform.md): Search the Terraform Registry and manage HCP Terraform workspaces - [Azure MCP Server](https://chatgptplugins.directory/mcp/azure.md): Connect AI agents to 45+ Azure services with Azure Identity auth - [Perplexity](https://chatgptplugins.directory/mcp/perplexity.md): Web search, Q&A, deep research and reasoning powered by Perplexity - [Blender MCP](https://chatgptplugins.directory/mcp/blender.md): Control Blender 3D scenes and assets with an LLM - [Tavily](https://chatgptplugins.directory/mcp/tavily.md): Real-time web search, extraction, site mapping and crawling for agents - [MongoDB](https://chatgptplugins.directory/mcp/mongodb.md): Query MongoDB databases and manage Atlas clusters from AI agents - [Brave Search](https://chatgptplugins.directory/mcp/brave-search.md): Web, local, news, image and video search via the Brave Search API - [Jina AI](https://chatgptplugins.directory/mcp/jina-ai.md): Read URLs, search the web and arXiv, rerank and dedupe with Jina AI - [n8n-MCP (community)](https://chatgptplugins.directory/mcp/n8n-mcp.md): Give AI deep knowledge of n8n nodes and templates to build and validate workflows - [MCP for Unity](https://chatgptplugins.directory/mcp/unity.md): Bridge AI assistants to the Unity Editor for game development - [Qdrant](https://chatgptplugins.directory/mcp/qdrant.md): Semantic memory store and retrieval backed by a Qdrant vector database - [Redis](https://chatgptplugins.directory/mcp/redis.md): Official natural-language interface for managing and searching Redis data - [Chroma](https://chatgptplugins.directory/mcp/chroma.md): Create collections and add, query and manage documents in Chroma - [Docker MCP Gateway](https://chatgptplugins.directory/mcp/docker-mcp-gateway.md): Run and route containerized MCP servers from Docker's catalog - [dbt](https://chatgptplugins.directory/mcp/dbt.md): Give agents dbt project context, lineage, Semantic Layer metrics and CLI - [PAL MCP (formerly Zen MCP)](https://chatgptplugins.directory/mcp/pal.md): Orchestrate multiple AI models from Claude Code, Gemini CLI or Codex - [Ref](https://chatgptplugins.directory/mcp/ref.md): Token-efficient documentation search for coding agents - [Next.js DevTools](https://chatgptplugins.directory/mcp/nextjs-devtools.md): Next.js docs, runtime errors, routes and upgrade help for coding agents - [Neo4j Cypher](https://chatgptplugins.directory/mcp/neo4j-cypher.md): Natural language to Cypher queries against Neo4j graphs - [ClickHouse](https://chatgptplugins.directory/mcp/clickhouse.md): Query ClickHouse clusters and chDB from AI assistants - [monday.com](https://chatgptplugins.directory/mcp/monday-com.md): Create items, update columns, and manage boards in monday.com - [Semgrep](https://chatgptplugins.directory/mcp/semgrep.md): Scan AI-generated code for security vulnerabilities with Semgrep - [Elasticsearch](https://chatgptplugins.directory/mcp/elasticsearch.md): Deprecated Elastic MCP server for querying Elasticsearch indices - [QuickBooks Online](https://chatgptplugins.directory/mcp/quickbooks-online.md): Read and write QuickBooks customers, invoices, bills and reports - [Neon](https://chatgptplugins.directory/mcp/neon.md): Manage Neon Postgres projects, branches and queries in natural language - [gcloud CLI](https://chatgptplugins.directory/mcp/gcloud.md): Interact with Google Cloud through the gcloud CLI in natural language - [Xero](https://chatgptplugins.directory/mcp/xero.md): Work with Xero invoices, contacts, payments, payroll and reports - [Framelink Figma MCP](https://chatgptplugins.directory/mcp/figma-context.md): Give coding agents simplified Figma layout and styling data - [Mapbox](https://chatgptplugins.directory/mcp/mapbox.md): Geocoding, directions, isochrones and map rendering via Mapbox APIs - [Salesforce DX MCP](https://chatgptplugins.directory/mcp/salesforce-dx.md): Salesforce developer tools: deploy metadata, run SOQL and Apex tests - [MotherDuck / DuckDB](https://chatgptplugins.directory/mcp/motherduck-duckdb.md): Query local DuckDB files and MotherDuck cloud databases - [SonarQube](https://chatgptplugins.directory/mcp/sonarqube.md): Bring SonarQube code quality and security findings into AI coding agents - [Todoist](https://chatgptplugins.directory/mcp/todoist.md): Read, add, and update Todoist tasks, projects, labels, and comments - [Kagi Search](https://chatgptplugins.directory/mcp/kagi.md): Ad-free Kagi web search and page extraction for AI assistants - [Resend](https://chatgptplugins.directory/mcp/resend.md): Send emails and manage Resend contacts, domains and broadcasts - [PayPal](https://chatgptplugins.directory/mcp/paypal.md): Manage PayPal invoices, orders, subscriptions, disputes and transactions - [Excel](https://chatgptplugins.directory/mcp/excel.md): Create, read and edit Excel workbooks without Microsoft Excel - [Massive (Polygon.io)](https://chatgptplugins.directory/mcp/massive.md): Stock, options, forex and crypto market data from Massive, formerly Polygon.io - [Render](https://chatgptplugins.directory/mcp/render.md): Manage Render services, deploys, logs, metrics and Postgres - [Plane](https://chatgptplugins.directory/mcp/plane.md): Manage Plane work items, cycles and projects from your AI assistant - [arXiv](https://chatgptplugins.directory/mcp/arxiv.md): Search, download and read arXiv papers locally - [Obsidian](https://chatgptplugins.directory/mcp/obsidian.md): Read, search and edit Obsidian vault notes via the Local REST API - [Hugging Face](https://chatgptplugins.directory/mcp/hugging-face.md): Search models, datasets, Spaces and papers on the Hugging Face Hub - [Tableau](https://chatgptplugins.directory/mcp/tableau.md): Let agents explore Tableau data sources, workbooks and views - [Pydantic Logfire](https://chatgptplugins.directory/mcp/logfire.md): Query Logfire traces, exceptions, dashboards and alerts with SQL - [Postman](https://chatgptplugins.directory/mcp/postman.md): Work with Postman workspaces, collections and API specs from AI agents - [Snowflake (Labs)](https://chatgptplugins.directory/mcp/snowflake.md): Deprecated Snowflake Labs MCP server for Cortex AI and SQL - [Auth0](https://chatgptplugins.directory/mcp/auth0.md): Manage Auth0 applications, APIs, Actions, forms and logs in natural language - [Kubernetes](https://chatgptplugins.directory/mcp/kubernetes.md): Native Go MCP server for Kubernetes and OpenShift clusters - [Socket](https://chatgptplugins.directory/mcp/socket.md): Check open-source dependency security scores with Socket before you install - [Alpha Vantage](https://chatgptplugins.directory/mcp/alpha-vantage.md): Real-time and historical stock, forex, crypto and economic data - [Alchemy](https://chatgptplugins.directory/mcp/alchemy.md): Query 100+ blockchains: balances, NFTs, prices, transfers and simulations - [Contentful](https://chatgptplugins.directory/mcp/contentful.md): Manage Contentful entries, content types, assets and releases from an agent - [Okta](https://chatgptplugins.directory/mcp/okta.md): Administer Okta users, groups, applications and policies with an AI assistant - [Pinecone](https://chatgptplugins.directory/mcp/pinecone.md): Manage Pinecone indexes, upsert and search records, and search docs - [Google Workspace MCP (community)](https://chatgptplugins.directory/mcp/google-workspace-mcp.md): 120+ tools across Gmail, Drive, Calendar, Docs, Sheets, Slides, Chat, and more - [Webflow](https://chatgptplugins.directory/mcp/webflow.md): Read and update Webflow sites, CMS collections, pages, and designs - [Square](https://chatgptplugins.directory/mcp/square.md): Access Square payments, catalog, customers and orders APIs through MCP - [DigitalOcean](https://chatgptplugins.directory/mcp/digitalocean.md): Manage DigitalOcean apps, droplets, databases and more from your agent - [Microsoft 365 MCP (community)](https://chatgptplugins.directory/mcp/ms-365-mcp-server.md): Outlook mail, calendar, OneDrive, Teams, and To Do via Microsoft Graph - [Wolfram MCP Service](https://chatgptplugins.directory/mcp/wolfram.md): Wolfram|Alpha answers and Wolfram Language computation for agents - [Twilio](https://chatgptplugins.directory/mcp/twilio.md): Expose Twilio's APIs for messaging, voice and more as MCP tools - [Buildkite](https://chatgptplugins.directory/mcp/buildkite.md): Inspect Buildkite pipelines, builds, logs and failures - [PagerDuty](https://chatgptplugins.directory/mcp/pagerduty.md): Manage PagerDuty incidents, services, schedules and on-call - [iMCP](https://chatgptplugins.directory/mcp/imcp.md): macOS app exposing Messages, Contacts, Calendar and more over MCP - [Netlify](https://chatgptplugins.directory/mcp/netlify.md): Create, deploy and manage Netlify projects with AI agents - [Upstash](https://chatgptplugins.directory/mcp/upstash.md): Manage Upstash Redis databases, QStash and Workflow from your agent - [Jupyter MCP Server](https://chatgptplugins.directory/mcp/jupyter.md): Let agents create, edit and run cells in live Jupyter notebooks - [Coinbase Payments MCP](https://chatgptplugins.directory/mcp/coinbase-payments.md): Agent wallet, onramp and x402 payments for agentic commerce - [Paddle](https://chatgptplugins.directory/mcp/paddle.md): Manage Paddle products, prices, subscriptions and billing reports - [GitGuardian](https://chatgptplugins.directory/mcp/gitguardian.md): Scan for leaked secrets and triage GitGuardian incidents from your agent - [YouTube Transcript](https://chatgptplugins.directory/mcp/youtube-transcript.md): Fetch YouTube video transcripts for summarization and Q&A - [Adyen](https://chatgptplugins.directory/mcp/adyen.md): Create payment sessions and links, refunds and manage terminals via Adyen APIs - [Airbnb (OpenBnB)](https://chatgptplugins.directory/mcp/airbnb.md): Search Airbnb listings and get property details from your AI assistant - [Linkup](https://chatgptplugins.directory/mcp/linkup.md): Real-time web search, page fetching and deep research via Linkup - [LaunchDarkly](https://chatgptplugins.directory/mcp/launchdarkly.md): Manage LaunchDarkly feature flags, AI configs and observability from your agent - [Discord MCP (community)](https://chatgptplugins.directory/mcp/discord-mcp.md): Manage Discord messages, channels, roles, and moderation through a bot - [Kiwi.com Flight Search](https://chatgptplugins.directory/mcp/kiwi-flights.md): Search flights and get booking links from Kiwi.com - [Cloudinary Asset Management](https://chatgptplugins.directory/mcp/cloudinary.md): Upload, search, transform and organize media assets in Cloudinary - [Gmail (Google)](https://chatgptplugins.directory/mcp/gmail.md): Google's official Gmail MCP server for searching threads, drafting, and labels - [Calendly](https://chatgptplugins.directory/mcp/calendly.md): Check availability, manage event types, and create scheduling links - [Google Drive (Google)](https://chatgptplugins.directory/mcp/google-drive.md): Google's official Drive MCP server for searching, reading, and creating files - [Miro](https://chatgptplugins.directory/mcp/miro.md): Read Miro boards and create diagrams, docs, and tables on the canvas - [Salesforce Hosted MCP](https://chatgptplugins.directory/mcp/salesforce-hosted-mcp.md): Salesforce-managed MCP endpoints for org data, flows, and Apex actions - [Sanity](https://chatgptplugins.directory/mcp/sanity.md): Query, edit and publish Sanity content, schemas and assets with AI - [Granola](https://chatgptplugins.directory/mcp/granola.md): Query your Granola meeting notes and transcripts from AI assistants - [GitLab](https://chatgptplugins.directory/mcp/gitlab.md): GitLab's built-in MCP server for projects, merge requests, work items and CI - [Google Calendar (Google)](https://chatgptplugins.directory/mcp/google-calendar.md): Google's official Calendar MCP server for events and scheduling - [Zoom](https://chatgptplugins.directory/mcp/zoom.md): Search Zoom meetings, recordings, summaries, and Docs from your AI client - [Amplitude](https://chatgptplugins.directory/mcp/amplitude.md): Ask questions of Amplitude charts, dashboards, cohorts, experiments and replays - [Statsig](https://chatgptplugins.directory/mcp/statsig.md): Read and manage Statsig gates, experiments, dynamic configs and metrics - [Convex](https://chatgptplugins.directory/mcp/convex.md): Let agents inspect Convex tables, run functions, read logs and manage env vars - [Datadog](https://chatgptplugins.directory/mcp/datadog.md): Query Datadog logs, metrics, traces, monitors and incidents - [Heroku](https://chatgptplugins.directory/mcp/heroku.md): Manage Heroku apps, dynos, add-ons, pipelines and Postgres - [CircleCI](https://chatgptplugins.directory/mcp/circleci.md): Diagnose CircleCI runs, workflows, jobs, logs and tests - [Asana](https://chatgptplugins.directory/mcp/asana.md): Manage Asana tasks, projects, portfolios, and status updates from your AI client - [Box](https://chatgptplugins.directory/mcp/box.md): Search, read, and organize Box content and ask Box AI questions about files - [Slack](https://chatgptplugins.directory/mcp/slack.md): Search, read, and post Slack messages, threads, and canvases - [Intercom](https://chatgptplugins.directory/mcp/intercom.md): Search Intercom conversations, contacts, companies, and help center articles - [HubSpot](https://chatgptplugins.directory/mcp/hubspot.md): Search and manage HubSpot CRM records, marketing content, and conversations - [Canva](https://chatgptplugins.directory/mcp/canva.md): Generate, search, edit, comment on, and export Canva designs - [Smartsheet](https://chatgptplugins.directory/mcp/smartsheet.md): Search and update Smartsheet sheets, workspaces, reports, and workflows - [Fireflies.ai](https://chatgptplugins.directory/mcp/fireflies.md): Search meeting transcripts, summaries, and soundbites from Fireflies - [Mercury](https://chatgptplugins.directory/mcp/mercury.md): Read-only access to Mercury business banking accounts and transactions - [Mixpanel](https://chatgptplugins.directory/mcp/mixpanel.md): Run Mixpanel queries, build dashboards and manage flags and experiments - [Expo](https://chatgptplugins.directory/mcp/expo.md): Expo docs, EAS builds and workflows, and app store reviews for agents - [fal](https://chatgptplugins.directory/mcp/fal.md): Search and run fal's image, video and audio generation models from chat - [Railway](https://chatgptplugins.directory/mcp/railway.md): Create Railway projects, deploy templates and debug deployments - [Snyk](https://chatgptplugins.directory/mcp/snyk.md): Run Snyk code, dependency, IaC and container scans from your agent - [Dropbox](https://chatgptplugins.directory/mcp/dropbox.md): Browse, search, read, and organize Dropbox files and shared links - [Prisma](https://chatgptplugins.directory/mcp/prisma.md): Manage Prisma Postgres databases, backups and Compute from AI tools - [Google BigQuery](https://chatgptplugins.directory/mcp/google-bigquery.md): Google-managed remote MCP server for BigQuery datasets and SQL - [Jam](https://chatgptplugins.directory/mcp/jam.md): Give coding agents Jam bug reports: console logs, network requests and video - [Angular CLI](https://chatgptplugins.directory/mcp/angular-cli.md): Angular docs, best practices and workspace tools for AI coding agents - [Pulumi](https://chatgptplugins.directory/mcp/pulumi.md): Search Pulumi stacks and resources, ask Neo and browse the Pulumi Registry - [PlanetScale](https://chatgptplugins.directory/mcp/planetscale.md): Query PlanetScale databases and get insights with safe, ephemeral creds - [Puppeteer](https://chatgptplugins.directory/mcp/puppeteer.md): Archived reference server for Puppeteer browser automation - [Shopify Dev MCP](https://chatgptplugins.directory/mcp/shopify-dev.md): Search Shopify docs, introspect GraphQL schemas and validate Shopify code - [SQLite](https://chatgptplugins.directory/mcp/sqlite.md): Archived reference server for SQLite queries and BI insights - [Google Maps Grounding Lite](https://chatgptplugins.directory/mcp/google-maps-grounding-lite.md): Ground AI answers with Google Maps places, weather and routes - [Airtable](https://chatgptplugins.directory/mcp/airtable.md): Query, create, and update Airtable records, bases, and schemas - [Zendesk MCP (community)](https://chatgptplugins.directory/mcp/zendesk.md): Search, create, and update Zendesk Support tickets and add notes - [Plaid Dashboard](https://chatgptplugins.directory/mcp/plaid-dashboard.md): Debug Plaid Items and review Link conversion and usage metrics - [Svelte](https://chatgptplugins.directory/mcp/svelte.md): Svelte and SvelteKit docs plus an autofixer for agent-written components - [Microsoft Learn Docs](https://chatgptplugins.directory/mcp/microsoft-learn.md): Search and fetch official Microsoft Learn documentation and code samples - [Replicate](https://chatgptplugins.directory/mcp/replicate.md): Discover, compare and run thousands of AI models on Replicate - [Microsoft Work IQ (Outlook, Teams, M365)](https://chatgptplugins.directory/mcp/microsoft-work-iq.md): Microsoft's official MCP servers for Outlook mail, calendar, Teams, and SharePoint - [PostgreSQL](https://chatgptplugins.directory/mcp/postgres.md): Archived reference server for read-only PostgreSQL access - [Lucid](https://chatgptplugins.directory/mcp/lucid.md): Search, create and edit Lucidchart and Lucidspark diagrams with AI - [New Relic](https://chatgptplugins.directory/mcp/new-relic.md): Bring New Relic observability data and alert insights to AI agents - [Semrush](https://chatgptplugins.directory/mcp/semrush.md): Pull Semrush SEO, keyword, backlink and traffic data into your AI chats - [Klaviyo](https://chatgptplugins.directory/mcp/klaviyo.md): Analyze Klaviyo campaigns, flows and audiences with an AI assistant - [Close](https://chatgptplugins.directory/mcp/close.md): Search leads, log activity and update deals in Close CRM - [CoinGecko](https://chatgptplugins.directory/mcp/coingecko.md): Live crypto prices, market data and token info from CoinGecko - [Firebase](https://chatgptplugins.directory/mcp/firebase.md): Manage Firebase projects, Firestore, Auth, rules and deploys - [Honeycomb](https://chatgptplugins.directory/mcp/honeycomb.md): Query Honeycomb traces, SLOs and boards to debug production - [Axiom](https://chatgptplugins.directory/mcp/axiom.md): Query Axiom logs and events with APL and manage monitors - [ClickUp](https://chatgptplugins.directory/mcp/clickup.md): Search, create, and update ClickUp tasks, docs, lists, and time entries - [Zapier MCP](https://chatgptplugins.directory/mcp/zapier.md): Let AI take actions across thousands of apps connected through Zapier - [Make](https://chatgptplugins.directory/mcp/make.md): Run Make scenarios and manage your Make account from AI assistants - [Attio](https://chatgptplugins.directory/mcp/attio.md): Search, read, and update Attio CRM records, lists, notes, and tasks - [Wix](https://chatgptplugins.directory/mcp/wix.md): Manage Wix sites, stores, bookings, and blogs, and search Wix docs - [Ramp](https://chatgptplugins.directory/mcp/ramp.md): Analyze spend, process approvals and manage reimbursements in Ramp