MCP Docker Server

A Python-based MCP (Model Context Protocol) server that provides secure Docker command execution for language models or other clients running in isolated environments like containers.

Overview

This MCP server runs on a host system and provides access to its Docker daemon via the MCP protocol. It implements security filtering and command validation to ensure safe operation, only allowing docker and docker-compose commands to be executed.

Related MCP server: Docker MCP Server

Features

• Docker Command Execution: Executes docker and docker-compose commands on the host.

• Docker Compose Support: Handles both legacy docker-compose and modern docker compose syntax.

• Security Validation: An explicit allowlist restricts executable commands to docker and docker-compose only.

• Async I/O: Built with asyncio for non-blocking command execution.

• Multiple Transports: Supports stdio, sse, and streamable-http MCP transports.

• Rich Toolset: Provides specific tools for common operations like listing containers, images, and checking system info.

• Error Handling: Returns detailed error messages for failed commands.

Architecture

┌─────────────────┐    MCP Protocol     ┌──────────────┐
│ Client          │ ─────────────────► │ MCP Server   │
│ (e.g. Container)│                     │ (Host)       │
│                 │ ◄─────────────────  │              │
│ - Calls Tools   │    Command Results  │ - Docker CLI │
└─────────────────┘                     │ - Security   │
                                        └──────────────┘
                                               │
                                               ▼
                                        ┌──────────────┐
                                        │ Docker Daemon│
                                        │ (Host)       │
                                        └──────────────┘

Installation

1. Python: Requires Python 3.12 or newer.

2. Docker: Docker must be installed and the daemon must be running on the host system.

3. Dependencies: Install the required Python packages using uv or pip from pyproject.toml.

   # Using uv
   uv pip install -r requirements.txt
   
   # Or directly from the pyproject.toml
   uv pip install .

Usage

Starting the Server

The server can be started with different MCP transports.

# Start with the default stdio transport
uv run main.py

# Start with the Streamable HTTP transport
uv run main.py streamable-http

# Start with the SSE (Server-Sent Events) transport
uv run main.py sse

Environment Variables

Configure the server's network binding with these environment variables.

• FASTMCP_HOST: Server bind address (default: 0.0.0.0 for container access).

• FASTMCP_PORT: Server port (default: 3000).

You can create a .env file to manage these variables:

FASTMCP_HOST=0.0.0.0
FASTMCP_PORT=3000

Then run the server with:

# Example with a custom .env file
uv run --env-file=.env main.py streamable-http

MCP Protocol

The server uses the mcp library to expose tools. The available transports are stdio, sse, and streamable-http.

Available Methods (Tools)

The following tools are exposed by the server:

• execute_docker_command(command: str, working_directory: str = None) -> str

  • Description: Executes a general Docker or Docker Compose command. The command is validated against an allowlist.

  • Example: session.call_tool("execute_docker_command", {"command": "docker ps -a"})

• docker_system_info() -> str

  • Description: Retrieves Docker version and system disk usage information.

  • Example: session.call_tool("docker_system_info", {})

• list_containers(all: bool = False) -> str

  • Description: Lists Docker containers.

  • Args: all (boolean) - If true, shows all containers (including stopped ones). Defaults to False.

  • Example: session.call_tool("list_containers", {"all": True})

• list_images(all: bool = False) -> str

  • Description: Lists Docker images.

  • Args: all (boolean) - If true, shows all images (including intermediate ones). Defaults to False.

  • Example: session.call_tool("list_images", {})

• docker_compose_status(working_directory: str = None) -> str

  • Description: Gets the status of services defined in a docker-compose.yml file.

  • Args: working_directory (string) - The path to the directory containing the compose file.

  • Example: session.call_tool("docker_compose_status", {"working_directory": "/path/to/project"})

Security Features

Command Validation

The server uses an allowlist-based approach for security. The is_allowed_command method in main.py ensures that only commands beginning with docker or docker-compose (including docker compose) are processed. All other commands are rejected.

Error Handling

If a command fails to execute, the server captures stdout, stderr, and the exit code, returning a detailed error message to the client. The execute_command function contains a try...except block to handle exceptions during subprocess execution.

Troubleshooting

Common Issues

1. Docker Not Available:

   • Ensure Docker is installed: docker --version

   • Check that the Docker daemon is running: docker info

   • Verify your user has permissions to access the Docker socket.

2. Port Already in Use:

   • If you see an error like address already in use, the port (default 3000) is occupied.

   • Change the port using the FASTMCP_PORT environment variable.

   • Find the process using the port: lsof -i :3000 or netstat -tulnp | grep 3000.

3. Permission Denied (Docker Socket):

   • If you get a "permission denied" error when running Docker commands, add your user to the docker group: sudo usermod -aG docker $USER.

   • You will need to start a new shell session for this change to take effect.

4. Connection Refused:

   • Verify the MCP server is running and listening on the correct host and port.

   • Check for firewall rules that might be blocking the connection.

   • Ensure your client configuration matches the server's FASTMCP_HOST and FASTMCP_PORT.

Development

Project Structure

/workspace/mcp_docker/
├── .python-version
├── main.py           # Main server implementation
├── pyproject.toml    # Project metadata and dependencies
├── README.md         # This documentation
└── test/
    └── test_client.py # Example client for testing

Testing

Run the example test client to connect to a running server, list its tools, and execute a sample command.

# Make sure the server is running in another terminal
# Then run the client
uv run test/test_client.py

License

This project is open-source and available for modification and distribution.

Support

For issues and questions:

1. Check the Troubleshooting section.

2. Verify your Docker installation and permissions.

3. Review the server logs for error details.

4. Test connectivity with simple commands first (e.g., docker_system_info).