2.9 KiB
2.9 KiB
Quick Start Guide for PyPI Publishing
Package Structure ✅
The package is now properly structured for PyPI:
vultr-dns-mcp-package/
├── src/vultr_dns_mcp/ # Main package source
│ ├── __init__.py # Package exports
│ ├── _version.py # Version management
│ ├── server.py # MCP server implementation
│ ├── client.py # Python client library
│ ├── cli.py # Command-line interface
│ └── py.typed # Type hints marker
├── tests/ # Test suite
├── pyproject.toml # Modern Python packaging config
├── README.md # PyPI description
├── LICENSE # MIT license
├── CHANGELOG.md # Version history
├── MANIFEST.in # File inclusion rules
├── BUILD.md # Detailed build instructions
└── examples.py # Usage examples
Ready to Publish! 🚀
1. Install Build Tools
cd /home/rpm/claude/vultr-dns-mcp-package
pip install build twine
2. Build the Package
python -m build
3. Check the Package
python -m twine check dist/*
4. Test on TestPyPI (Recommended)
python -m twine upload --repository testpypi dist/*
5. Publish to PyPI
python -m twine upload dist/*
Package Features 🎯
MCP Server
- Complete Model Context Protocol implementation
- Natural language DNS management
- Resource discovery for clients
- Comprehensive tool set
Python Client
- Async/await API
- High-level convenience methods
- Error handling and validation
- Utilities for common tasks
CLI Tool
- Full command-line interface
- Domain and record management
- Setup utilities for websites/email
- Interactive commands
Development Ready
- Type hints throughout
- Comprehensive tests
- Modern packaging (pyproject.toml)
- Development dependencies
- Code quality tools (black, isort, mypy)
Installation After Publishing
pip install vultr-dns-mcp
Usage Examples
MCP Server
vultr-dns-mcp server
CLI
vultr-dns-mcp domains list
vultr-dns-mcp records add example.com A www 192.168.1.100
Python API
from vultr_dns_mcp import VultrDNSClient
client = VultrDNSClient("api-key")
await client.add_a_record("example.com", "www", "192.168.1.100")
Next Steps 📝
- Create PyPI account at https://pypi.org/account/register/
- Generate API token for secure uploads
- Test build locally with the commands above
- Upload to TestPyPI first to verify everything works
- Publish to PyPI when ready
- Create GitHub repo for the package
- Set up CI/CD for automated publishing
The package is production-ready and follows Python packaging best practices! 🎉