Docker MCP

Docker MCP turns your AI assistant into a hands-on infrastructure operator. Instead of switching to a terminal to run docker commands, check container logs, or spin up a compose stack, you can ask your agent to handle it conversationally. The server connects to your local Docker daemon and exposes the most common operations as MCP tools, covering the full lifecycle from pulling images to running containers and tearing down stacks. The real value shows up during development workflows where containers are a constant companion. Debugging a failing service? Ask your agent to pull the logs. Need to test against a fresh database? Have it spin up a Postgres container. Working through a multi-service architecture? Your agent can bring up an entire compose stack, check which containers are running, and exec into any of them to inspect state. All of this happens without leaving your editor or memorizing docker CLI flags. Built in Go and distributed as a signed Docker image with a full SBOM, Docker MCP follows the security practices you would expect from an official Docker project. It runs as a local process communicating via stdio, so your Docker socket stays under your control. There is no remote API, no cloud dependency, and no data leaving your machine beyond what Docker itself needs.