Datadog's managed MCP server connects your AI agents to Datadog's observability tools and data. Query logs, metrics, traces, incidents, and more - directly from your AI-powered dev tools.
For Claude Code (US1 site):
claude mcp add --transport http datadog https://mcp.datadoghq.com/api/unstable/mcp-server/mcpMany MCP clients also support configuration in a .mcp.json file:
{
"mcpServers": {
"datadog": {
"type": "http",
"url": "https://mcp.datadoghq.com/api/unstable/mcp-server/mcp"
}
}
}Not on the US1 site? Replace
mcp.datadoghq.comwith the endpoint for your Datadog site — for example, EU users should usemcp.datadoghq.eu.
The MCP server should work with any standards-compliant MCP client. See the full setup docs for other clients, alternative auth methods, and regional endpoints.
examples/claude-agent-sdk/— Minimal agent using the Claude Agent SDKexamples/claude-agent-sdk-advanced/— Monitoring agent that investigates issues and posts to Slack. Includes Datadog LLM Observability integration
- Docs - Full setup instructions, available tools, example prompts