Docker MCP Server — Container Management for AI Agents
Install the Docker MCP server to let Claude Code, Cursor, and Windsurf manage containers, images, volumes, and networks. Build, run, inspect, and debug Docker workloads directly from your AI coding environment.
Install Docker MCP Server
{
"mcpServers": {
"docker": {
"command": "docker",
"args": [
"run", "-i", "--rm",
"-v", "/var/run/docker.sock:/var/run/docker.sock",
"mcp/docker"
]
}
}
}Docker MCP — Container Management for AI Agents
MCP server that gives AI agents Docker container management capabilities. Build, run, stop, and inspect containers through tool calls for automated DevOps workflows.
AKS-MCP — MCP Bridge for Azure Kubernetes
Use AKS-MCP to bridge MCP-compatible assistants to Azure Kubernetes Service operations; run via Docker MCP Toolkit or build from source with `make`.
PDFMathTranslate — Translate PDF Papers Preserving Format
Translate PDF scientific papers while preserving math formulas, charts, and layout. Supports Google, DeepL, OpenAI, Ollama. CLI, GUI, MCP, Docker, Zotero plugin.
MCPHub — Centralized MCP Server Management Hub
Manage multiple MCP servers from one dashboard. Smart routing, hot-swap config, OAuth 2.0 auth. Deploy via Docker in one command. Apache-2.0, 2,000+ stars.
Uptime Kuma — Self-Hosted Uptime Monitoring
Monitor HTTP, TCP, DNS, Docker services with notifications to 90+ channels. Beautiful dashboard. 84K+ GitHub stars.
Archestra — Secure AI Platform (MCP Governance)
Archestra centralizes MCP servers with governance and observability; verified 3,653★ and ships a Docker quickstart for a private MCP registry.
gh-aw-mcpg — MCP Gateway for Sandboxed Agents
gh-aw-mcpg is a Docker-first MCP gateway that exposes backend MCP servers over HTTP so sandboxed agents call tools through one controlled entrypoint.
Magentic-UI — Human-Centered Web Agent with MCP
Magentic-UI gives teams a human-in-the-loop web agent with plan previews, approval gates, Docker-backed execution, and MCP support.
MongoDB MCP Server — npx + Read-Only Safety by Default
MongoDB MCP Server exposes MongoDB queries and optional Atlas admin tools to MCP clients via npx or Docker, with a read-only mode that reduces risk.
AgentChat — LLM Chat + MCP Integration
AgentChat is a modern LLM chat system (FastAPI + Vue) with knowledge base, tool calling, and MCP server integration, plus a Docker Compose deploy path.
MCPO — MCP-to-OpenAPI Proxy Server
MCPO proxies an MCP tool as an OpenAPI HTTP server (with /docs), so non-MCP clients can call tools via HTTP, with uvx/pip/Docker run modes.
mcp-server-synology — Synology NAS MCP Server
Synology NAS MCP server for file/download ops from Claude Desktop, Cursor, and Continue. Runs via Docker or Python. Verified 98★; pushed 2026-05-14.
MintHCM — Open-Source HCM (MCP/A2A Claims)
MintHCM is an open-source HCM platform with AI-agent positioning (MCP/WebMCP mentioned). Includes a Docker Compose stack (app + MySQL + Elasticsearch).
AIO Sandbox — Secure Agent Runtime in Docker
AIO Sandbox ships a browser/shell/files/MCP runtime in one container; verified 4,666★ and offers a 30-second Docker quick start on port 8080.
EDDI — One-Command Agent Orchestration (MCP)
Boot EDDI via its one-command installer to run agents with Docker Compose and connect tools via MCP/A2A; includes an `eddi` CLI for updates.
mcp-dotnet-samples — MCP Servers in .NET (Docker)
Microsoft’s MCP .NET samples show how to build MCP servers/clients in C#. Includes Docker-run demos like markdown-to-html and todo-list for quick testing.
SEC EDGAR MCP Server — Query Filings from Agents
SEC EDGAR MCP Server lets agents query filings (10-K/10-Q/8-K) with exact numbers and source URLs. Verified 265★; Docker quickstart in ~5–10 minutes.
MCPProxy — Secure MCP Tool Router + Quarantine
MCPProxy is a desktop/CLI proxy for MCP servers: manage upstreams, list tools to save context, and add safety via quarantine and optional Docker isolation.
Beelzebub — LLM Deception Runtime (MCP Honeypot)
Beelzebub deploys LLM-powered decoys across SSH/HTTP/TCP/TELNET/MCP; verified 1,989★ and ships Docker Compose, Helm, and a structured CLI.
TWStockMCPServer — Taiwan Stock Data MCP Server
TWStockMCPServer is an MCP server for Taiwan market data; verified 85★ and the README cites 143 TWSE OpenAPI tools plus Docker/HTTP modes.
MCP ZAP Server — OWASP ZAP for Agents (Safe)
MCP ZAP Server exposes OWASP ZAP through MCP with operator guardrails (auth, policies, scopes) and Docker Compose setup for guided scans and reports.
mysql-mcp-server-sse — FastMCP MySQL Server (SSE)
MySQL query server built on FastMCP with SSE streaming, SQL risk controls, injection protection, and Docker quick start; verified 101★, pushed 2025-06-19.
MCP-NixOS — Real NixOS Packages for AI Tools (2026)
mcp-nixos is an MCP server for real NixOS packages/options; verified 638★ with uvx/Docker/Nix configs and optional HTTP mode at `/mcp`.
mcp-debugger — DAP Debugging Tools for Agents
Add step-through debugging to AI agents via an MCP server built on the Debug Adapter Protocol (DAP). Works across languages; run with npm or Docker.
PentestAgent — MCP-Ready AI Pentesting Agent
PentestAgent is an AI pentesting agent with a TUI and optional MCP server mode, built for authorized assessments and reproducible Docker-backed tool runs.
ShibaClaw — Security-First Agent Hub + MCP
ShibaClaw is a self-hosted agent hub with WebUI, cron/heartbeat, multi-provider support, and MCP connectivity, with Docker Compose and pip install paths.
MCP Crash Course — Branch-Based Hands-on
A hands-on MCP learning repo organized by `project/*` branches (SSE, Docker, prompts, adapters); verified 164★, pushed 2026-04-02.
mcp-teams-server — Microsoft Teams MCP Server
mcp-teams-server adds Teams tool calls (read/reply/mention/list members); verified 373★ and runs via `uv run mcp-teams-server` or a GHCR Docker image.
AI-powered container operations
The Docker MCP server gives your AI agent direct control over your container infrastructure. List running containers, inspect logs, build images from Dockerfiles, manage volumes, and debug failing deployments — all through natural language in Claude Code or Cursor. No more switching between your editor and a terminal window full of docker ps and docker logs commands.
The server connects through the Docker socket (/var/run/docker.sock), which means it has the same permissions as your local Docker CLI. The AI can do anything you can do with docker: pull images, start and stop containers, exec into running containers, read build logs, and inspect network configurations. For production Kubernetes clusters, this is a development and staging tool — use it to prototype locally before deploying.
The most productive pattern is AI-assisted debugging. When a container fails, tell the agent "debug why the API container keeps crashing" and it will inspect the container, read the logs, check resource limits, and identify the root cause. Pair with the GitHub MCP server and the agent can fix the Dockerfile and open a PR. For teams running self-hosted AI stacks, Docker MCP makes it trivial to manage Ollama, Open WebUI, and other containerized AI services from within your coding agent. See also DevOps AI tools for CI/CD and deployment automation.
Docker is how developers ship software. Docker MCP is how AI agents understand what you shipped.
Frequently Asked Questions
What is the Docker MCP server?+
The Docker MCP server is an official MCP implementation that exposes Docker Engine operations as structured tools for AI agents. It supports container lifecycle management (create, start, stop, remove), image operations (pull, build, list), volume and network management, container inspection, and log streaming. It runs as a Docker container itself and connects via the Docker socket.
Is it safe to give AI agents Docker access?+
Docker socket access is equivalent to root access on the host machine. Best practices: (1) Only use in development and staging environments. (2) Never mount the Docker socket in production containers. (3) Consider using Docker contexts to limit which Docker daemon the agent can reach. (4) Review any container operations the agent proposes before approving — especially image builds and volume mounts.
Does it work with Docker Compose?+
The MCP server works with the Docker Engine API, which powers both standalone containers and Compose stacks. The agent can inspect and manage containers started by Compose. For Compose-specific operations (up, down, scale), the agent can call docker compose commands through the container's exec capability or you can pair it with a filesystem MCP server that reads your compose.yaml files.
Can the AI build Docker images?+
Yes. The agent can trigger docker build operations, read build logs, and diagnose build failures. The most common workflow: the agent reads your Dockerfile, identifies issues (missing dependencies, wrong base image, inefficient layer ordering), suggests fixes, and rebuilds. It's particularly useful for multi-stage builds where layer optimization requires understanding the full build context.