Docker MCP
Manage containers and images with AI
Last verified: August 5, 2026
How to Install Docker MCP
$docker mcp gateway runRequires Claude Desktop, Cursor, Windsurf, or another MCP-compatible client.
About Docker MCP
Manage containers, images and Compose stacks from your AI agent via Docker's official MCP toolkit and catalog.
Docker MCP is a Developer Tools MCP server designed for professional engineers and engineering teams. It enables wiring AI assistants into the inner loop of writing and shipping code by exposing Git, package, build, and CLI operations as MCP tools. Key capabilities include git and github operations (status, blame, prs), package and dependency inspection, build and test runner integration, and structured tool calls that work cleanly inside an LLM context. It integrates with Git, GitHub, GitLab, npm, pnpm, Docker, and common build systems, and is best suited for professional engineers and engineering teams who need reviewing diffs and opening prs from chat.
Key Features
- docker
- containers
- devops
- Git and GitHub operations (status, blame, PRs)
- Package and dependency inspection
- Build and test runner integration
Pricing
- Core MCP server
- Community support
- Works with any MCP client
- Everything in Free
- Higher usage limits
- Priority support
- Everything in Pro
- SLA & SSO
- Dedicated support
Tier details are indicative — visit the Docker MCP website for current pricing.
Pros & Cons
Pros
- Acts more like a pair programmer with real tools
- Tight scoping (one repo, dry-run) limits blast radius
- Keeps flow inside the editor
Cons
- Write operations require explicit guardrails
- Quality of output depends on repo hygiene
- Larger monorepos may need extra filtering
Best For
- Reviewing diffs and opening PRs from chat
- Triaging CI failures
- Scaffolding new packages or modules
- Repo-wide refactors with verification
Screenshots
Screenshots coming soon —
Submit yours →Our Take on Docker MCP
The best way to let agents build, run and inspect Docker workloads without leaving the chat.