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MCP server for Docker, DigitalOcean, and CloudFlare operations

Project description

CargoShipper MCP Server

Python 3.11+ MCP PyPI uvx

A comprehensive MCP (Model Context Protocol) server that provides Claude with direct access to Docker, DigitalOcean, and CloudFlare APIs for infrastructure management and automation.

โœจ Easy Setup with uvx

CargoShipper is available on PyPI and works seamlessly with uvx for easy installation and management, just like mcp-server-git.

Quick Install from PyPI

# Run directly (recommended)
uvx cargoshipper-mcp

# Configure in your .mcp.json
{
  "mcpServers": {
    "cargoshipper": {
      "command": "uvx",
      "args": ["cargoshipper-mcp"]
    }
  }
}

Development Setup

For local development and testing:

  1. Clone the repository:

    cd cargoshipper-mcp
    
  2. Install dependencies:

    pip install -r requirements.txt
    # or create a virtual environment first
    python3 -m venv .venv
    source .venv/bin/activate  # Linux/Mac
    pip install -r requirements.txt
    
  3. Configure your APIs:

    cp .env.example .env
    # Edit .env with your API tokens:
    # DIGITALOCEAN_TOKEN=your_token_here
    # CLOUDFLARE_API_TOKEN=your_token_here
    
  4. Use the development MCP configuration:

    # Use .mcp.dev.json for local development
    cp .mcp.dev.json .mcp.json
    

๐Ÿณ Docker Integration

  • Container Management: Full lifecycle (create, start, stop, remove, logs)
  • Image Operations: List, pull, and manage Docker images
  • System Information: Docker system stats and health
  • Resource Monitoring: Container resource usage and status

๐ŸŒŠ DigitalOcean Integration

  • Droplet Management: Complete droplet lifecycle management
  • DNS Management: Full DNS record CRUD operations
  • Account Information: Access account details and billing
  • Image Management: Work with distributions and custom snapshots

โ˜๏ธ CloudFlare Integration

  • Zone Management: Create and configure CloudFlare zones
  • DNS Operations: Advanced DNS with proxy settings
  • Cache Control: Purge cache by URL, tags, or everything
  • Analytics: Traffic and performance analytics
  • Security Settings: SSL, security levels, firewall rules

๐Ÿ”ง Available Tools & Resources

30 Tools Total:

  • Docker (9 tools): docker_run_container, docker_list_containers, etc.
  • DigitalOcean (10 tools): do_create_droplet, do_list_dns_records, etc.
  • CloudFlare (11 tools): cf_create_zone, cf_purge_cache, etc.

17 Resources Total:

  • docker://containers - All containers with status
  • digitalocean://droplets - All droplets with costs
  • cloudflare://zones - All zones with analytics
  • And many more...

๐Ÿ“‹ Configuration Files

Production (.mcp.json)

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

Development (.mcp.dev.json)

{
  "mcpServers": {
    "cargoshipper": {
      "command": "python",
      "args": ["-m", "cargoshipper_mcp.server"],
      "cwd": ".",
      "env": {
        "PYTHONPATH": "."
      }
    }
  }
}

๐Ÿ”‘ API Credentials Setup

Create .env file or ~/.config/cargoshipper-mcp/.env:

# DigitalOcean API Token
DIGITALOCEAN_TOKEN=your_digitalocean_token_here

# CloudFlare API Token (recommended)
CLOUDFLARE_API_TOKEN=your_cloudflare_token_here

# Alternative: CloudFlare Email + Global API Key
# CLOUDFLARE_EMAIL=your@email.com
# CLOUDFLARE_API_KEY=your_global_api_key

Getting API Tokens:

๐Ÿš€ Usage Examples

Once configured, Claude will have access to infrastructure operations:

# Docker examples
"Run an nginx container on port 8080"
"List all running containers"
"Get logs from container abc123"

# DigitalOcean examples  
"Create a small droplet in NYC3"
"List all my droplets and their costs"
"Add an A record for api.example.com"

# CloudFlare examples
"Create a new zone for mysite.com"
"Purge all cache for example.com" 
"Show me analytics for the last 24 hours"

๐Ÿ“ Project Structure

cargoshipper-mcp/
โ”œโ”€โ”€ cargoshipper_mcp/        # Main package (renamed from src/)
โ”‚   โ”œโ”€โ”€ server.py           # MCP server entry point  
โ”‚   โ”œโ”€โ”€ config/             # Configuration with multi-path .env loading
โ”‚   โ”œโ”€โ”€ tools/              # API operation tools
โ”‚   โ”‚   โ”œโ”€โ”€ docker.py       # Docker operations
โ”‚   โ”‚   โ”œโ”€โ”€ digitalocean.py # DigitalOcean operations
โ”‚   โ”‚   โ””โ”€โ”€ cloudflare.py   # CloudFlare operations
โ”‚   โ”œโ”€โ”€ resources/          # Read-only data access
โ”‚   โ””โ”€โ”€ utils/              # Shared utilities
โ”œโ”€โ”€ .mcp.json              # Production MCP config (uvx)
โ”œโ”€โ”€ .mcp.dev.json          # Development MCP config (local python)
โ”œโ”€โ”€ pyproject.toml         # Python packaging (uvx compatible)
โ”œโ”€โ”€ requirements.txt       # Dependencies
โ””โ”€โ”€ install.sh             # uvx installation script

๐ŸŒ Published on PyPI

CargoShipper MCP is now available on PyPI! Access it at: https://pypi.org/project/cargoshipper-mcp/

Setup is as simple as:

# Run directly (most common)
uvx cargoshipper-mcp

# Configure in .mcp.json
{
  "mcpServers": {
    "cargoshipper": {
      "command": "uvx",
      "args": ["cargoshipper-mcp"] 
    }
  }
}

๐Ÿ› ๏ธ Development

Package Structure

  • Uses proper Python packaging with pyproject.toml
  • Console entry point: cargoshipper-mcp = "cargoshipper_mcp.server:main"
  • Multi-path environment loading for uvx compatibility
  • Type hints and comprehensive error handling throughout

Testing

python test_server.py  # Validates imports and configuration

This approach follows the same pattern as mcp-server-git and other uvx-compatible MCP servers, making it extremely easy to install and use once published!

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