# Datadog (MCP Server)

> Query Datadog logs, metrics, traces, monitors and incidents

- Type: MCP server
- Publisher: Datadog (official)
- Categories: DevOps & Cloud, Data & Analytics
- Website: https://docs.datadoghq.com/bits_ai/mcp_server/
- Docs: https://docs.datadoghq.com/mcp_server/tools/
- Transport: streamable-http
- Server URL: https://mcp.datadoghq.com
- Sign-in: oauth
- Listed: 2025-06-10

## About

Datadog's remote MCP server gives AI agents access to logs, metrics, APM traces and spans, monitors, dashboards, incidents, hosts and notebooks. It uses OAuth 2.0 by default (API/app keys also supported), has per-site endpoints, and lets users select toolsets via a query parameter. Users need mcp_read/mcp_write role permissions.

## Install

1. **Connect it in ChatGPT** Turn on Developer mode in ChatGPT (Settings → Security and login), open Plugins, select + and paste https://mcp.datadoghq.com as the MCP server URL, then sign in with OAuth. Add it to a chat from the composer's tools menu.

2. **Or add it to Codex or the API**

   Codex CLI:

   ```bash
   codex mcp add datadog --url https://mcp.datadoghq.com
   codex mcp login datadog
   ```

   config.toml:

   ```toml
   [mcp_servers.datadog]
   url = "https://mcp.datadoghq.com"
   ```

   Responses API:

   ```python
   import os
   from openai import OpenAI
   
   client = OpenAI()
   
   response = client.responses.create(
       model="gpt-6-astra",
       tools=[{
           "type": "mcp",
           "server_label": "datadog",
           "server_url": "https://mcp.datadoghq.com",
           "authorization": os.environ["DATADOG_API_KEY"],
           "require_approval": "never",
       }],
       input="Show error logs for the checkout service in the last 30 minutes",
   )
   print(response.output_text)
   ```

## Tools

- `search_datadog_logs`
- `analyze_datadog_logs`
- `get_datadog_metric`
- `search_datadog_monitors`
- `get_datadog_trace`
- `search_datadog_spans`
- `aggregate_spans`
- `search_datadog_dashboards`
- `search_datadog_incidents`
- `search_datadog_hosts`
- `search_datadog_events`
- `ddsql_run_query`

## Example prompts

- "Show error logs for the checkout service in the last 30 minutes"
- "Which monitors are currently alerting?"
- "Fetch the trace for this trace ID and explain the latency"
- "List active incidents and their severity"

## Also available as

- app: [Datadog](https://chatgptplugins.directory/apps/datadog.md)

## Related

- [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
- [Sentry](https://chatgptplugins.directory/mcp/sentry.md): Search Sentry errors, issues and traces and debug them with Seer
- [Graphiti MCP](https://chatgptplugins.directory/mcp/graphiti.md): Temporal knowledge graph memory for agents, by Zep
- [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

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Source: https://chatgptplugins.directory/mcp/datadog · Index: https://chatgptplugins.directory/llms.txt · Independent and community-run. Not affiliated with or endorsed by OpenAI. ChatGPT is a trademark of OpenAI.