docker-mcp
A powerful Model Context Protocol (MCP) server for Docker operations, enabling seamless container and compose stack management through Claude AI.
QuantGeekDev
Tools
create-container
Create a new standalone Docker container
deploy-compose
Deploy a Docker Compose stack
get-logs
Retrieve the latest logs for a specified Docker container
list-containers
List all Docker containers
README
🐳 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
<details> <summary>💻 Development Configuration</summary>
{
"mcpServers": {
"docker-mcp": {
"command": "uv",
"args": [
"--directory",
"<path-to-docker-mcp>",
"run",
"docker-mcp"
]
}
}
}
</details>
<details> <summary>🚀 Production Configuration</summary>
{
"mcpServers": {
"docker-mcp": {
"command": "uvx",
"args": [
"docker-mcp"
]
}
}
}
</details>
🛠️ 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 ❤️
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