🐳 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:
{
"mcpServers": {
"docker-mcp": {
"command": "uvx",
"args": [
"docker-mcp"
]
}
}
}
Installing via Smithery
To install Docker MCP for Claude Desktop automatically via Smithery:
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
{
"mcpServers": {
"docker-mcp": {
"command": "uv",
"args": [
"--directory",
"<path-to-docker-mcp>",
"run",
"docker-mcp"
]
}
}
}
🚀 Production Configuration
{
"mcpServers": {
"docker-mcp": {
"command": "uvx",
"args": [
"docker-mcp"
]
}
}
}
🛠️ Development
Local Setup
- Clone the repository:
git clone https://github.com/QuantGeekDev/docker-mcp.git
cd docker-mcp
- Create and activate a virtual environment:
python -m venv venv
source venv/bin/activate # On Windows: venv\\Scripts\\activate
- Install dependencies:
uv sync
🔍 Debugging
Launch the MCP Inspector for debugging:
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
{
"image": "image-name",
"name": "container-name",
"ports": {"80": "80"},
"environment": {"ENV_VAR": "value"}
}
deploy-compose
Deploys a Docker Compose stack
{
"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
{
"container_name": "my-container"
}
list-containers
Lists all Docker containers
{}
🚧 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
- Fork the repository from docker-mcp
- Create your feature branch
- Commit your changes
- Push to the branch
- 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
Made with ❤️
Recommend MCP Servers 💡
mcp-difyworkflow-server
mcp-difyworkflow-server is an mcp server Tools application that implements the query and invocation of Dify workflows, supporting the on-demand operation of multiple custom Dify workflows.
nexuscontroller
Android device automation platform with MCP support for AI integration
mcp-adb
An MCP server integrating ADB for AI assistants to interact with Android devices.
mcp-server-apple-shortcuts
A Model Context Protocol (MCP) server that lets AI assistants like Claude control Apple Shortcuts automations. This enables AI models to trigger shortcuts and automate tasks on macOS in a safe and controlled way.
editor-mcp-server
An MCP Server for automating the PlayCanvas Editor using an LLM.
mcp-browser-agent
A Model Context Protocol (MCP) integration that provides Claude Desktop with autonomous browser automation capabilities. This agent enables Claude to interact with web content, manipulate DOM elements, execute JavaScript, and perform API requests.