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MCP ConfigsMay 8, 2026·5 min de lecture

Datadog MCP Server — Query Metrics and Logs from AI Agents

Community Datadog MCP server lets Claude / Cursor query metrics, logs, traces, monitors in natural language. SRE copilots, on-call triage.

Datadog
Datadog · Community
Prêt pour agents

Cet actif peut être lu et installé directement par les agents

TokRepo expose une commande CLI universelle, un contrat d'installation, le metadata JSON, un plan selon l'adaptateur et le contenu raw pour aider les agents à juger l'adaptation, le risque et les prochaines actions.

Stage only · 5/100Stage only
Surface agent
Tout agent MCP/CLI
Type
Mcp Config
Installation
Stage only
Confiance
Confiance : New
Point d'entrée
Asset
Commande CLI universelle
npx tokrepo install b309576b-0970-46f2-b0f8-a2f1af76eeb1
contrat d'installationJSON metadataplan adaptateurcontenu raw
Introduction

The Datadog MCP server exposes Datadog's metrics, logs, traces, monitors, and incidents as MCP tools — your Claude or Cursor agent can ask 'what services have elevated p99 latency right now?' and get a real answer from your live Datadog data. Best for: SRE copilots, on-call triage flows, post-incident retros, anywhere you want an LLM that can read your observability stack. Works with: any MCP host (Claude Desktop, Cursor, Cline, LibreChat, MCP Inspector). Setup time: 10 minutes.

Install (community server, npm-published)

npm install -g datadog-mcp-server

Claude Desktop config

{
  "mcpServers": {
    "datadog": {
      "command": "npx",
      "args": ["-y", "datadog-mcp-server"],
      "env": {
        "DD_API_KEY": "...",
        "DD_APP_KEY": "...",
        "DD_SITE": "datadoghq.com"
      }
    }
  }
}

Drop into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or the equivalent on your OS.

Cursor config

~/.cursor/mcp.json with the same servers block. Restart Cursor and the tools appear in the agent panel.

Tools exposed

Tool Purpose
query_metrics Run a Datadog metric query (avg:trace.servlet.request.duration{service:web})
search_logs Faceted log search with time range
list_monitors List monitors, filter by state (alert/warn/ok)
get_monitor Detail view for one monitor
list_incidents Open and recent Datadog Incident Mgmt entries
query_traces APM trace search with service / operation filter

Example prompts that work

  • "Which services have triggered alert monitors in the last hour?"
  • "Plot p99 latency for checkout-api over the last 24h"
  • "Find logs containing OutOfMemoryError from worker-pod-* in the last 30 min"
  • "Summarize the open Datadog incident IR-2042 — affected services, suspected cause, current status"

Security & scope

Datadog API + APP keys grant read access to your account data. Use a dedicated app key with restricted scopes (metrics_read, logs_read, monitors_read, traces_read) rather than your personal key. Rotate quarterly.

FAQ

Q: Is this an official Datadog MCP server? A: It's a community-maintained server that wraps the Datadog REST API. Datadog has not announced a first-party MCP at the time of writing. Reads only — no write actions like silencing monitors. Audit the repo before deploying in regulated environments.

Q: Can the agent silence a monitor or close an incident? A: Not by default — write tools are disabled to prevent accidental actions. Some forks add mute_monitor / update_incident_status behind explicit confirmation. Only enable on isolated dev accounts.

Q: How do I limit which agents can access this? A: Two layers: (1) MCP host config — only add the server to trusted hosts (Claude Desktop, internal Cursor); (2) Datadog APP key scoping — issue a separate restricted-read key per host so you can revoke without affecting the rest.

Quick Use

  1. npm install -g datadog-mcp-server
  2. Add to claude_desktop_config.json with DD_API_KEY + DD_APP_KEY
  3. Use a scoped read-only APP key, restart Claude

Intro

The Datadog MCP server exposes Datadog's metrics, logs, traces, monitors, and incidents as MCP tools — your Claude or Cursor agent can ask 'what services have elevated p99 latency right now?' and get a real answer from your live Datadog data. Best for: SRE copilots, on-call triage flows, post-incident retros, anywhere you want an LLM that can read your observability stack. Works with: any MCP host (Claude Desktop, Cursor, Cline, LibreChat, MCP Inspector). Setup time: 10 minutes.

Install (community server, npm-published)

npm install -g datadog-mcp-server

Claude Desktop config

{
  "mcpServers": {
    "datadog": {
      "command": "npx",
      "args": ["-y", "datadog-mcp-server"],
      "env": {
        "DD_API_KEY": "...",
        "DD_APP_KEY": "...",
        "DD_SITE": "datadoghq.com"
      }
    }
  }
}

Drop into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or the equivalent on your OS.

Cursor config

~/.cursor/mcp.json with the same servers block. Restart Cursor and the tools appear in the agent panel.

Tools exposed

Tool Purpose
query_metrics Run a Datadog metric query (avg:trace.servlet.request.duration{service:web})
search_logs Faceted log search with time range
list_monitors List monitors, filter by state (alert/warn/ok)
get_monitor Detail view for one monitor
list_incidents Open and recent Datadog Incident Mgmt entries
query_traces APM trace search with service / operation filter

Example prompts that work

  • "Which services have triggered alert monitors in the last hour?"
  • "Plot p99 latency for checkout-api over the last 24h"
  • "Find logs containing OutOfMemoryError from worker-pod-* in the last 30 min"
  • "Summarize the open Datadog incident IR-2042 — affected services, suspected cause, current status"

Security & scope

Datadog API + APP keys grant read access to your account data. Use a dedicated app key with restricted scopes (metrics_read, logs_read, monitors_read, traces_read) rather than your personal key. Rotate quarterly.

FAQ

Q: Is this an official Datadog MCP server? A: It's a community-maintained server that wraps the Datadog REST API. Datadog has not announced a first-party MCP at the time of writing. Reads only — no write actions like silencing monitors. Audit the repo before deploying in regulated environments.

Q: Can the agent silence a monitor or close an incident? A: Not by default — write tools are disabled to prevent accidental actions. Some forks add mute_monitor / update_incident_status behind explicit confirmation. Only enable on isolated dev accounts.

Q: How do I limit which agents can access this? A: Two layers: (1) MCP host config — only add the server to trusted hosts (Claude Desktop, internal Cursor); (2) Datadog APP key scoping — issue a separate restricted-read key per host so you can revoke without affecting the rest.

Source & Thanks

Community-built, MIT-licensed. See github.com/winor30/datadog-mcp-server and similar forks.

Datadog API docs: docs.datadoghq.com/api

🙏

Source et remerciements

Community-built, MIT-licensed. See github.com/winor30/datadog-mcp-server and similar forks.

Datadog API docs: docs.datadoghq.com/api

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