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MCP verified MIT Self-run

Damens Mcps

mcp-filthyrake-damens-mcps · by filthyrake

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

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Install

$ agentstack add mcp-filthyrake-damens-mcps

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ● Network access Used
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ● Environment & secrets Used
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Damen's MCP Servers Collection 🚀

[](https://opensource.org/licenses/MIT) [](https://github.com/filthyrake/damensmcps/issues) [](https://github.com/filthyrake/damensmcps/stargazers) [](https://github.com/filthyrake/damensmcps/actions/workflows/test.yml) [](https://github.com/filthyrake/damensmcps/actions/workflows/code-quality.yml) [](https://codecov.io/gh/filthyrake/damens_mcps) [](https://github.com/psf/black) [](https://pycqa.github.io/isort/) [](https://github.com/PyCQA/bandit) [](https://github.com/pre-commit/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.

📋 Project Overview

This repository contains MCP servers for the following platforms:

| Project | Status | Description | |---------|--------|-------------| | [pfSense MCP](./pfsense-mcp/) | ✅ Production Ready | Firewall and network management for pfSense | | [TrueNAS MCP](./truenas-mcp/) | ✅ Production Ready | Storage and NAS management for TrueNAS | | [iDRAC MCP](./idrac-mcp/) | ✅ Production Ready | Dell PowerEdge server management via iDRAC | | [Proxmox MCP](./proxmox-mcp/) | ✅ Production Ready | Virtualization platform management for Proxmox VE |

🚀 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:

``bash git clone cd damens_mcps ``

  1. Choose your project and navigate to it:

``bash 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) ``

  1. Set up virtual environment:

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

  1. Configure environment:

``bash cp env.example .env # Edit .env with your system credentials ``

  1. Start the server:

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

🔧 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 | ✅ Yes | ✅ Yes | | Proxmox MCP | ✅ Yes | ✅ 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

📊 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

🔍 Testing

Test Coverage Status

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

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

Running Tests

# Navigate to any project
cd 

# 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 [CODEQUALITY.md](./CODEQUALITY.md) for detailed code quality standards and tools.

CI/CD

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

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

See [TESTING.md](./TESTING.md) for detailed testing guide and [TESTCOVERAGESUMMARY.md](./TESTCOVERAGESUMMARY.md) for coverage details.

Integration Testing

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

📚 Documentation

Each project has detailed documentation:

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

🛠️ Development

Project Structure

project-name/
├── src/                    # Source code
│   ├── auth.py            # Authentication
│   ├── client.py          # API client
│   ├── server.py          # MCP server
│   └── utils/             # Utilities
├── tests/                 # Test files
├── examples/              # Example usage
├── docker/                # Docker files
├── k8s/                   # Kubernetes manifests
├── docs/                  # Documentation
├── requirements.txt       # Python dependencies
├── 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

✅ 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.

🔒 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

📄 License

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

🆘 Support

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

🔗 Related Links


Happy Infrastructure Management! 🎉

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.