Major changes: - Migrate from low-level MCP to FastMCP framework for better compatibility - Add custom exception hierarchy (VultrAPIError, VultrAuthError, etc.) - Replace basic IPv6 validation with Python's ipaddress module - Add HTTP request timeouts (30s total, 10s connect) - Modernize development workflow with uv package manager - Create FastMCP server with proper async/await patterns New features: - FastMCP server implementation with 12 DNS management tools - Comprehensive Claude Desktop integration guide - Enhanced error handling with specific exception types - Professional README with badges and examples - Complete testing suite with improvement validation Documentation: - CLAUDE.md: Consolidated project documentation - CLAUDE_DESKTOP_SETUP.md: Step-by-step Claude Desktop setup guide - Updated README.md with modern structure and uv-first approach - Enhanced TESTING.md with FastMCP testing patterns Development improvements: - Updated all scripts to use uv run commands - Smart development setup with uv/pip fallback - Added comprehensive test coverage for new features - PyPI-ready package configuration 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
6.3 KiB
6.3 KiB
Vultr DNS MCP Package
A Model Context Protocol (MCP) server for managing Vultr DNS domains and records through natural language interfaces.
Project Overview
This package provides both an MCP server and a standalone Python client for Vultr DNS management. It supports all major DNS record types (A, AAAA, CNAME, MX, TXT, NS, SRV) with validation, analysis, and batch operations.
Quick Start
Installation
# Using uv (recommended)
uv add vultr-dns-mcp
# Or using pip
pip install vultr-dns-mcp
Basic Usage
# CLI - requires VULTR_API_KEY environment variable
vultr-dns-mcp domains list
vultr-dns-mcp records list example.com
# As MCP server
uv run python -m vultr_dns_mcp.server --api-key YOUR_API_KEY
Development Setup
Dependencies
# Using uv (recommended)
uv sync --extra dev
# Or using pip
pip install -e .[dev]
Running Tests
# All tests (using uv - recommended)
uv run pytest
# Specific categories
uv run pytest -m unit
uv run pytest -m mcp
uv run pytest -m integration
# With coverage
uv run pytest --cov=vultr_dns_mcp --cov-report=html
# Comprehensive test runner
uv run python run_tests.py --all-checks
# Traditional approach (fallback)
pytest
Code Quality
# Using uv (recommended)
uv run black src tests
uv run isort src tests
uv run mypy src
uv run flake8 src tests
# Traditional approach
black src tests
isort src tests
mypy src
flake8 src tests
Build & Publishing
# Using uv (recommended)
uv build
uv run twine check dist/*
uv run twine upload --repository testpypi dist/*
uv run twine upload dist/*
# Traditional approach
python -m build
python -m twine check dist/*
python -m twine upload --repository testpypi dist/*
python -m twine upload dist/*
Test Structure
Following FastMCP testing best practices:
tests/conftest.py
- Test configuration and fixturestests/test_mcp_server.py
- MCP server functionality tests using in-memory patterntests/test_client.py
- VultrDNSClient teststests/test_cli.py
- CLI interface teststests/test_vultr_server.py
- Core VultrDNSServer teststests/test_package_validation.py
- Package integrity tests
Test Markers
@pytest.mark.unit
- Individual component testing@pytest.mark.integration
- Component interaction testing@pytest.mark.mcp
- MCP-specific functionality@pytest.mark.slow
- Performance and timeout tests
Coverage Goals
- Overall: 80%+ (enforced)
- MCP Tools: 100% (critical functionality)
- API Client: 95%+ (core functionality)
- CLI Commands: 90%+ (user interface)
Project Structure
vultr-dns-mcp/
├── src/vultr_dns_mcp/
│ ├── client.py # High-level DNS client
│ ├── server.py # Core Vultr API client
│ ├── mcp_server.py # MCP server implementation
│ └── cli.py # Command-line interface
├── tests/ # Comprehensive test suite
├── docs/ # Documentation
└── pyproject.toml # Project configuration
Key Features
MCP Tools (12 total)
- Domain management: list, create, delete, get details
- DNS record operations: CRUD for all record types
- Validation: Pre-creation validation with suggestions
- Analysis: Configuration analysis with security recommendations
MCP Resources
- Domain discovery endpoints
- DNS record resources
- Configuration capabilities
CLI Commands
- Domain operations:
domains list|create|delete|get
- Record operations:
records list|create|update|delete
- Setup utilities:
setup website|email
Version History
Current: 1.0.1
- Fixed FastMCP server initialization
- Corrected MCP server creation for current FastMCP version
- Simplified initialization to use only name parameter
1.0.0 - Initial Release
- Complete MCP server implementation
- Python client library
- CLI interface
- Support for all DNS record types
- Validation and analysis features
- Comprehensive test suite
CI/CD Pipeline
GitHub Actions
- Multi-Python testing (3.8-3.12)
- Progressive test execution: validation → unit → integration → mcp
- Code quality gates: black, isort, flake8, mypy
- Security scanning: safety, bandit
- Package validation: build, install, test CLI
Quality Gates
- All tests pass on all Python versions
- Code coverage meets 80% threshold
- Code quality checks pass
- Security scans clean
- Package builds and installs correctly
Publishing
Automated (Recommended)
- Update version in
pyproject.toml
- Commit and push changes
- Create and push version tag:
git tag v1.0.2 && git push origin v1.0.2
- Workflow automatically publishes to PyPI
Manual
Use the GitHub Actions "Publish to PyPI" workflow with manual trigger.
Development Guidelines
Testing
- Use FastMCP in-memory testing pattern for MCP functionality
- Mock external dependencies (Vultr API)
- Maintain high coverage on critical paths
- Follow pytest best practices
Code Style
- Black formatting
- isort import sorting
- Type hints with mypy
- Comprehensive docstrings
- Security best practices
Release Process
- Update version in
pyproject.toml
- Update
CHANGELOG.md
- Run full test suite
- Create git tag
- Automated publishing via GitHub Actions
Troubleshooting
Common Issues
- ImportError: Run
pip install -e .
from repository root - AsyncioError: Ensure
asyncio_mode = "auto"
in pyproject.toml - MockError: Check that test fixtures are properly configured
- API Errors: Verify VULTR_API_KEY environment variable
Test Debugging
# Single test with verbose output (using uv)
uv run pytest tests/test_mcp_server.py::TestMCPTools::test_list_dns_domains_tool -vvv
# Check pytest configuration
uv run pytest --collect-only tests/
# Validate imports
uv run python -c "from vultr_dns_mcp.server import create_mcp_server"
# Traditional approach
pytest tests/test_mcp_server.py::TestMCPTools::test_list_dns_domains_tool -vvv
pytest --collect-only tests/
python -c "from vultr_dns_mcp.server import create_mcp_server"
Support & Documentation
- GitHub: https://github.com/rsp2k/vultr-dns-mcp
- PyPI: https://pypi.org/project/vultr-dns-mcp/
- Documentation: Complete API documentation and examples in package
- Issues: Use GitHub Issues for bug reports and feature requests