Datadog MCP Server is a community-maintained Model Context Protocol (MCP) server that gives AI assistants secure, programmatic access to Datadog observability features (logs, metrics, traces, monitors, dashboards, etc.). It enables interactive log/trace search, monitoring management, dashboard CRUD, and metrics queries via both local (stdio) and remote (HTTP/Kubernetes) transports, making it ideal for integrating Datadog with AI-powered workflows, automation, or observability bots. Designed for developers, DevOps, and platform engineers who want to unify AI and observability operations in their workflow tools.
Visit Datadog's official website for product details and getting started.
Comprehensive API reference and integration guides for Datadog MCP Server.
A guide to quickly set up and start using Datadog MCP Server for your observability needs.