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Damen's MCP Servers Collection πŸš€

License: MIT GitHub Issues GitHub Stars Test Status Code Quality codecov Code style: black Imports: isort security: bandit pre-commit

Note: These MCP servers were generated using Cursor AI tools. While functional, they may benefit from human review and refinement for production use.

A comprehensive collection of Model Context Protocol (MCP) servers for managing various infrastructure components. These servers enable AI assistants to directly interact with and manage your infrastructure through standardized MCP interfaces.

πŸ“‹ Project Overview

This repository contains MCP servers for the following platforms:

Project Status Description
pfSense MCP βœ… Production Ready Firewall and network management for pfSense
TrueNAS MCP βœ… Production Ready Storage and NAS management for TrueNAS
iDRAC MCP βœ… Production Ready Dell PowerEdge server management via iDRAC
Proxmox MCP βœ… Production Ready Virtualization platform management for Proxmox VE

πŸš€ Quick Start

Prerequisites

  • Python 3.8+ for all projects
  • Docker (optional, for containerized deployment)
  • Network access to your target systems
  • API credentials for each platform

Installation & Setup

  1. Clone the repository:

    git clone <your-repo-url>
    cd damens_mcps
  2. Choose your project and navigate to it:

    cd pfsense-mcp    # For pfSense management
    cd truenas-mcp    # For TrueNAS management
    cd idrac-mcp      # For Dell server management (production ready)
    cd proxmox-mcp    # For Proxmox management (production ready)
  3. Set up virtual environment:

    python3 -m venv .venv
    source .venv/bin/activate  # On Windows: .venv\Scripts\activate
    pip install -r requirements.txt
  4. Configure environment:

    cp env.example .env
    # Edit .env with your system credentials
  5. Start the server:

    # Method varies by project - check individual READMEs
    python -m src.http_server
    # or
    python -m src.cli serve

πŸ”§ Configuration

Environment Variables

Each project uses environment variables for configuration. Copy the env.example file to .env and update with your settings:

# Example for pfSense
PFSENSE_HOST=192.168.1.1
PFSENSE_USERNAME=admin
PFSENSE_PASSWORD=your-password
PFSENSE_API_KEY=your-api-key

# Example for TrueNAS
TRUENAS_HOST=192.168.1.100
TRUENAS_API_KEY=your-api-key
TRUENAS_USERNAME=admin
TRUENAS_PASSWORD=your-password

Security Notes

⚠️ Important Security Considerations:

  • Change default passwords in production
  • Use API keys instead of passwords when possible
  • Update IP addresses from example values
  • Use HTTPS for all connections
  • Restrict network access to MCP servers

🐳 Docker Deployment

Docker deployment is available for TrueNAS MCP and Proxmox MCP projects:

# Navigate to project with Docker support
cd truenas-mcp  # or proxmox-mcp

# Build and run with Docker Compose
docker-compose -f docker/docker-compose.yml up -d

# Or build manually
docker build -f docker/Dockerfile -t mcp-server .
docker run -p 8000:8000 --env-file .env mcp-server

Docker Support by Project:

Project Docker Support K8s Support
TrueNAS MCP βœ… Yes βœ… Yes
Proxmox MCP βœ… Yes βœ… Yes
pfSense MCP ❌ No ❌ No
iDRAC MCP ❌ No ❌ No

Note: pfSense and iDRAC projects are designed for direct Python execution due to their specific deployment requirements and are not currently containerized.

☸️ Kubernetes Deployment

Kubernetes manifests are provided for TrueNAS MCP and Proxmox MCP:

# Navigate to project with K8s support
cd truenas-mcp  # or proxmox-mcp

# Deploy to Kubernetes
kubectl apply -f k8s/

# Check deployment status
kubectl get pods -l app=mcp-server

πŸ“Š Monitoring & Health Checks

Each server provides health check endpoints:

# Check server health
curl http://localhost:8000/health

# Get server status
curl http://localhost:8000/status

πŸ” Testing

Test Coverage Status

All projects now have comprehensive test infrastructure with CI/CD automation:

Project Tests Coverage Status
pfSense 14+ 6% (49% validation) βœ… Passing
TrueNAS 20+ Framework ready βœ… Ready
iDRAC 11+ 15% (91% validation) βœ… Passing
Proxmox 18+ 11% (72% validation) βœ… Passing

Running Tests

# Navigate to any project
cd <project-name>

# Install test dependencies
pip install pytest pytest-cov pytest-asyncio pytest-mock

# Run all tests
pytest tests/ -v

# Run with coverage report
pytest tests/ --cov=src --cov-report=html

# Run specific test file
pytest tests/test_validation.py -v

Code Quality Checks

Run code quality checks locally on all projects:

# Run all quality checks (black, isort, flake8, mypy, bandit, safety, interrogate)
./run_code_quality_checks.sh

See CODE_QUALITY.md for detailed code quality standards and tools.

CI/CD

Automated checks run on every push and pull request via GitHub Actions:

  • βœ… All 4 projects tested independently
  • βœ… Coverage reports uploaded to Codecov
  • βœ… Python 3.12 compatibility verified
  • βœ… Code quality checks (linting, formatting, security, type checking)

See TESTING.md for detailed testing guide and TEST_COVERAGE_SUMMARY.md for coverage details.

Integration Testing

# Test with actual system (requires configuration)
python examples/basic_usage.py

πŸ“š Documentation

Each project has detailed documentation:

  • Individual READMEs in each project directory
  • CLAUDE.md - Development guidelines and architecture overview for AI assistant integration
  • CODE_QUALITY.md - Code quality standards and tools documentation
  • API Documentation in docs/ folders
  • Example scripts in examples/ directories
  • Deployment guides for Docker and Kubernetes

πŸ› οΈ Development

Project Structure

project-name/
β”œβ”€β”€ src/                    # Source code
β”‚   β”œβ”€β”€ auth.py            # Authentication
β”‚   β”œβ”€β”€ client.py          # API client
β”‚   β”œβ”€β”€ server.py          # MCP server
β”‚   └── utils/             # Utilities
β”œβ”€β”€ tests/                 # Test files
β”œβ”€β”€ examples/              # Example usage
β”œβ”€β”€ docker/                # Docker files
β”œβ”€β”€ k8s/                   # Kubernetes manifests
β”œβ”€β”€ docs/                  # Documentation
β”œβ”€β”€ requirements.txt       # Python dependencies
β”œβ”€β”€ env.example           # Environment template
└── README.md             # Project documentation

Adding New Features

  1. Update source code in src/
  2. Add tests in tests/
  3. Update documentation in docs/
  4. Test thoroughly before deployment

🚨 Important Notes

βœ… Production Ready Projects

All MCP servers in this collection are now production ready and have been thoroughly tested:

  • pfSense MCP - Firewall and network management
  • TrueNAS MCP - Storage and NAS management
  • iDRAC MCP - Dell PowerEdge server management
  • Proxmox MCP - Virtualization platform management

These servers have been tested with real systems and include comprehensive error handling, input validation, and security features.

πŸ”’ Security

  • Never commit .env files or credentials
  • Use strong passwords and API keys
  • Restrict network access appropriately
  • Monitor logs for suspicious activity
  • Keep dependencies updated

🀝 Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests for new functionality
  5. Update documentation
  6. Submit a pull request

πŸ“„ License

This project is licensed under the MIT License - see the LICENSE file for details.

πŸ†˜ Support

  • Issues: Create GitHub issues for bugs or feature requests
  • Documentation: Check individual project READMEs
  • Examples: Review examples/ directories for usage patterns

πŸ”— Related Links


Happy Infrastructure Management! πŸŽ‰

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A collection of MCP servers I've put together with various AI tools for infrastructure management

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