@QuantGeekDev/docker-mcp: docker-mcp

QuantGeekDev/docker-mcp
114

docker-mcp is a Model Context Protocol (MCP) server designed to streamline Docker container and Compose stack management through Claude AI. It enables container creation, Compose deployments, log retrieval, and container monitoring, simplifying Docker operations for developers.

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Author

QuantGeekDev

README

🐳 docker-mcp

Python 3.12 License: MIT Code style: black smithery badge

A powerful Model Context Protocol (MCP) server for Docker operations, enabling seamless container and compose stack management through Claude AI.

✨ Features

  • 🚀 Container creation and instantiation
  • 📦 Docker Compose stack deployment
  • 🔍 Container logs retrieval
  • 📊 Container listing and status monitoring

🎬 Demos

Deploying a Docker Compose Stack

https://github.com/user-attachments/assets/b5f6e40a-542b-4a39-ba12-7fdf803ee278

Analyzing Container Logs

https://github.com/user-attachments/assets/da386eea-2fab-4835-82ae-896de955d934

🚀 Quickstart

To try this in Claude Desktop app, add this to your claude config files:

json
{ "mcpServers": { "docker-mcp": { "command": "uvx", "args": [ "docker-mcp" ] } } }

Installing via Smithery

To install Docker MCP for Claude Desktop automatically via Smithery:

bash
npx @smithery/cli install docker-mcp --client claude

Prerequisites

  • UV (package manager)
  • Python 3.12+
  • Docker Desktop or Docker Engine
  • Claude Desktop

Installation

Claude Desktop Configuration

Add the server configuration to your Claude Desktop config file:

MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
Windows: %APPDATA%/Claude/claude_desktop_config.json

💻 Development Configuration
json
{ "mcpServers": { "docker-mcp": { "command": "uv", "args": [ "--directory", "<path-to-docker-mcp>", "run", "docker-mcp" ] } } }
🚀 Production Configuration
json
{ "mcpServers": { "docker-mcp": { "command": "uvx", "args": [ "docker-mcp" ] } } }

🛠️ Development

Local Setup

  1. Clone the repository:
bash
git clone https://github.com/QuantGeekDev/docker-mcp.git cd docker-mcp
  1. Create and activate a virtual environment:
bash
python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate
  1. Install dependencies:
bash
uv sync

🔍 Debugging

Launch the MCP Inspector for debugging:

bash
npx @modelcontextprotocol/inspector uv --directory <path-to-docker-mcp> run docker-mcp

The Inspector will provide a URL to access the debugging interface.

📝 Available Tools

The server provides the following tools:

create-container

Creates a standalone Docker container

json
{ "image": "image-name", "name": "container-name", "ports": {"80": "80"}, "environment": {"ENV_VAR": "value"} }

deploy-compose

Deploys a Docker Compose stack

json
{ "project_name": "example-stack", "compose_yaml": "version: '3.8'\nservices:\n service1:\n image: image1:latest\n ports:\n - '8080:80'" }

get-logs

Retrieves logs from a specific container

json
{ "container_name": "my-container" }

list-containers

Lists all Docker containers

json
{}

🚧 Current Limitations

  • No built-in environment variable support for containers
  • No volume management
  • No network management
  • No container health checks
  • No container restart policies
  • No container resource limits

🤝 Contributing

  1. Fork the repository from docker-mcp
  2. Create your feature branch
  3. Commit your changes
  4. Push to the branch
  5. Open a Pull Request

📜 License

This project is licensed under the MIT License - see the LICENSE file for details.

✨ Authors

  • Alex Andru - Initial work | Core contributor - @QuantGeekDev
  • Ali Sadykov - Initial work | Core contributor - @md-archive

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