docker-mcp

# 🐳 docker-mcp [](https://www.python.org/downloads/release/python-3120/) [](https://opensource.org/licenses/MIT) [](https://github.com/psf/black) [](https://smithery.ai/protocol/docker-mcp) 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](https://smithery.ai/protocol/docker-mcp): ```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` <details> <summary>💻 Development Configuration</summary> ```json { "mcpServers": { "docker-mcp": { "command": "uv", "args": [ "--directory", "<path-to-docker-mcp>", "run", "docker-mcp" ] } } } ``` </details> <details> <summary>🚀 Production Configuration</summary> ```json { "mcpServers": { "docker-mcp": { "command": "uvx", "args": [ "docker-mcp" ] } } } ``` </details> ## 🛠️ Development ### Local Setup 1. Clone the repository: ```bash git clone https://github.com/QuantGeekDev/docker-mcp.git cd docker-mcp ``` 2. Create and activate a virtual environment: ```bash python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate ``` 3. 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](https://github.com/QuantGeekDev/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](LICENSE) file for details. ## ✨ Authors - **Alex Andru** - *Initial work | Core contributor* - [@QuantGeekDev](https://github.com/QuantGeekDev) - **Ali Sadykov** - *Initial work | Core contributor* - [@md-archive](https://github.com/md-archive) --- Made with ❤️