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MCP Docker Server

by tenda-chi

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.

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).
-
security - not tested
A
license - permissive license
-
quality - not tested

local-only server

The server can only run on the client's local machine because it depends on local resources.

Enables secure Docker command execution from isolated environments like containers through MCP protocol. Provides tools for managing Docker containers, images, and Docker Compose services with security validation and async operation support.

  1. Overview
    1. Features
      1. Architecture
        1. Installation
          1. Usage
            1. Starting the Server
            2. Environment Variables
          2. MCP Protocol
            1. Available Methods (Tools)
          3. Security Features
            1. Command Validation
            2. Error Handling
          4. Troubleshooting
            1. Common Issues
          5. Development
            1. Project Structure
            2. Testing
          6. License
            1. Support

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