What it does

Queries the Datadog API for metrics, monitors, dashboards, and incident data. On an incident this turns 'something is slow' into an actual series with a timestamp. Community-maintained, so pin the version and read the tool list before granting a key with broad read access.

Install

Terminal

npx -y @winor30/mcp-server-datadog

Client configuration

Paste this into your MCP client config (Claude Desktop, Cursor, or any client that reads mcpServers), then restart the client.

mcp.json

{
  "mcpServers": {
    "datadog": {
      "command": "npx",
      "args": [
        "-y",
        "@winor30/mcp-server-datadog"
      ]
    }
  }
}

Use it for

Pulling metrics, monitors, and incident context into a debugging session

Skip it if

Replacing alerts; an agent is not paged at 3am

When to use it

Reach for this when the task needs monitoring inside the agent loop. Skip it if a plain shell command or a one-off script is enough — every server you add costs context and adds a failure mode.

Other TypeScript servers

Filesystem — Gives an agent scoped read, write, and search access to directories you explicitly allow
Memory — A persistent knowledge graph stored in a local JSON file, exposed through entities, relations, and observations
Sequential Thinking — Gives the model a scratchpad for structured, revisable reasoning: numbered thoughts that can branch, revise, and conclude

Datadog MCP