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Datadog

MCP server · by mcparmory

Monitoring & Observability
PythonDocker
v1.0.3

Monitor infrastructure, manage agents and deployments, track metrics, logs, and events

Install

Run one of the commands below, then add the client config underneath.

Python
uvx mcparmory-datadog
Docker
docker run -i --rm ghcr.io/mcparmory/datadog:1.0.3

Client configuration

Paste into Claude Desktop, Cursor (mcp.json), VS Code or any MCP client, then restart the client.

mcpServers
{
  "mcpServers": {
    "datadog": {
      "command": "uvx",
      "args": [
        "mcparmory-datadog"
      ]
    }
  }
}

About this server

Datadog is listed in the Monitoring & Observability category of the MCPNav directory. It is distributed as Python, Docker and can be loaded by any client that speaks the Model Context Protocol.

Typical uses include giving your assistant scoped access to the corresponding service so it can answer questions and take actions with real data instead of guessing. Always review what a server can access before you enable it — see our MCP security guide.

Frequently asked questions

What is the Datadog MCP server?

Datadog is an MCP server by mcparmory. Monitor infrastructure, manage agents and deployments, track metrics, logs, and events

How do I install Datadog?

Install it with: uvx mcparmory-datadog. Then add the JSON config to your client's MCP settings and restart the client.

Is Datadog free to use?

The MCP server itself is free to install. The source is public on https://github.com/mcparmory/registry. Any third-party API it calls (such as a search or maps API) may require its own key and billing.

Which clients support Datadog?

Any MCP-compatible client can use it, including Claude Desktop, Cursor, VS Code, Windsurf and custom agents.