Datadog

Official

Datadog MCP server for monitoring, metrics, and observability

About Datadog MCP Server

Datadog is an MCP server in the DevOps & Monitoring category. It exposes tools, resources to connected AI applications, enabling them to interact with datadog capabilities through the standardized Model Context Protocol.

Features

Tools
Resources

Category

DevOps & Monitoring
Getting Started

To use the Datadog MCP server in your AI application, follow these steps:

  1. Install the MCP client SDK for your platform
  2. Connect to the Datadog MCP server
  3. Authenticate with your Datadog credentials
  4. Start using the tools, resources, and prompts provided by the server

Example Code


// Connect to the Datadog MCP server
const server = await mcp.connect("datadog");

// List available tools
const tools = await server.tools.list();

// List available resources
const resources = await server.resources.list();

// List available prompts
const prompts = await server.prompts.list();
                      
Installation

npm

npm install @mcp/server-datadog

pip

pip install mcp-server-datadog
Compatible With
Claude Desktop
Cursor
Windsurf
Zed
Any MCP-compatible client