Control Docker containers and compose stacks through natural language commands. Manage your Docker environment by creating containers, deploying stacks, and monitoring logs.

Manage containers and compose stacks through natural language.

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What it does

  • Create standalone Docker containers
  • Deploy Docker Compose stacks
  • Retrieve container logs
  • List all containers with status

Best for

Developers managing containerized applicationsDevOps engineers deploying multi-service stacksAnyone wanting natural language Docker control
Natural language Docker commandsFull compose stack deployment

About Docker

Docker is a community-built MCP server published by quantgeekdev that provides AI assistants with tools and capabilities via the Model Context Protocol. Manage containers with Docker and Docker Compose using natural language. Simplify your stacks with easy Docker Compose i It is categorized under developer tools. This server exposes 4 tools that AI clients can invoke during conversations and coding sessions.

How to install

You can install Docker in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

License

Docker is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

Tools (4)

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

🐳 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

  • πŸš€ Container creation and instantiation
  • πŸ“¦ Docker Compose stack deployment
  • πŸ” Container logs retrieval
  • πŸ“Š 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

πŸš€ 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

πŸ’» Development Configuration
{
  "mcpServers": {
    "docker-mcp": {
      "command": "uv",
      "args": [
        "--directory",
        "<path-to-docker-mcp>",
        "run",
        "docker-mcp"
      ]
    }
  }
}
πŸš€ Production Configuration
{
  "mcpServers": {
    "docker-mcp": {
      "command": "uvx",
      "args": [
        "docker-mcp"
      ]
    }
  }
}

πŸ› οΈ Development

Local Setup

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

πŸ” 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.

πŸ“ 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

  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

πŸ“œ 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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