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>
240 lines
6.3 KiB
Markdown
240 lines
6.3 KiB
Markdown
# Vultr DNS MCP Package
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A Model Context Protocol (MCP) server for managing Vultr DNS domains and records through natural language interfaces.
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## Project Overview
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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.
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## Quick Start
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### Installation
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```bash
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# Using uv (recommended)
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uv add vultr-dns-mcp
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# Or using pip
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pip install vultr-dns-mcp
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```
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### Basic Usage
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```bash
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# CLI - requires VULTR_API_KEY environment variable
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vultr-dns-mcp domains list
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vultr-dns-mcp records list example.com
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# As MCP server
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uv run python -m vultr_dns_mcp.server --api-key YOUR_API_KEY
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```
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## Development Setup
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### Dependencies
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```bash
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# Using uv (recommended)
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uv sync --extra dev
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# Or using pip
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pip install -e .[dev]
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```
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### Running Tests
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```bash
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# All tests (using uv - recommended)
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uv run pytest
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# Specific categories
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uv run pytest -m unit
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uv run pytest -m mcp
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uv run pytest -m integration
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# With coverage
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uv run pytest --cov=vultr_dns_mcp --cov-report=html
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# Comprehensive test runner
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uv run python run_tests.py --all-checks
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# Traditional approach (fallback)
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pytest
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```
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### Code Quality
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```bash
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# Using uv (recommended)
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uv run black src tests
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uv run isort src tests
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uv run mypy src
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uv run flake8 src tests
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# Traditional approach
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black src tests
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isort src tests
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mypy src
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flake8 src tests
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```
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### Build & Publishing
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```bash
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# Using uv (recommended)
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uv build
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uv run twine check dist/*
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uv run twine upload --repository testpypi dist/*
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uv run twine upload dist/*
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# Traditional approach
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python -m build
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python -m twine check dist/*
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python -m twine upload --repository testpypi dist/*
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python -m twine upload dist/*
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```
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## Test Structure
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Following FastMCP testing best practices:
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- `tests/conftest.py` - Test configuration and fixtures
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- `tests/test_mcp_server.py` - MCP server functionality tests using in-memory pattern
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- `tests/test_client.py` - VultrDNSClient tests
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- `tests/test_cli.py` - CLI interface tests
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- `tests/test_vultr_server.py` - Core VultrDNSServer tests
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- `tests/test_package_validation.py` - Package integrity tests
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### Test Markers
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- `@pytest.mark.unit` - Individual component testing
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- `@pytest.mark.integration` - Component interaction testing
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- `@pytest.mark.mcp` - MCP-specific functionality
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- `@pytest.mark.slow` - Performance and timeout tests
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### Coverage Goals
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- Overall: 80%+ (enforced)
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- MCP Tools: 100% (critical functionality)
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- API Client: 95%+ (core functionality)
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- CLI Commands: 90%+ (user interface)
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## Project Structure
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```
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vultr-dns-mcp/
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├── src/vultr_dns_mcp/
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│ ├── client.py # High-level DNS client
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│ ├── server.py # Core Vultr API client
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│ ├── mcp_server.py # MCP server implementation
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│ └── cli.py # Command-line interface
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├── tests/ # Comprehensive test suite
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├── docs/ # Documentation
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└── pyproject.toml # Project configuration
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```
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## Key Features
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### MCP Tools (12 total)
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- Domain management: list, create, delete, get details
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- DNS record operations: CRUD for all record types
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- Validation: Pre-creation validation with suggestions
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- Analysis: Configuration analysis with security recommendations
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### MCP Resources
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- Domain discovery endpoints
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- DNS record resources
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- Configuration capabilities
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### CLI Commands
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- Domain operations: `domains list|create|delete|get`
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- Record operations: `records list|create|update|delete`
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- Setup utilities: `setup website|email`
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## Version History
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### Current: 1.0.1
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- Fixed FastMCP server initialization
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- Corrected MCP server creation for current FastMCP version
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- Simplified initialization to use only name parameter
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### 1.0.0 - Initial Release
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- Complete MCP server implementation
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- Python client library
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- CLI interface
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- Support for all DNS record types
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- Validation and analysis features
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- Comprehensive test suite
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## CI/CD Pipeline
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### GitHub Actions
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- Multi-Python testing (3.8-3.12)
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- Progressive test execution: validation → unit → integration → mcp
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- Code quality gates: black, isort, flake8, mypy
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- Security scanning: safety, bandit
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- Package validation: build, install, test CLI
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### Quality Gates
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1. All tests pass on all Python versions
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2. Code coverage meets 80% threshold
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3. Code quality checks pass
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4. Security scans clean
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5. Package builds and installs correctly
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## Publishing
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### Automated (Recommended)
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1. Update version in `pyproject.toml`
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2. Commit and push changes
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3. Create and push version tag: `git tag v1.0.2 && git push origin v1.0.2`
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4. Workflow automatically publishes to PyPI
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### Manual
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Use the GitHub Actions "Publish to PyPI" workflow with manual trigger.
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## Development Guidelines
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### Testing
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- Use FastMCP in-memory testing pattern for MCP functionality
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- Mock external dependencies (Vultr API)
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- Maintain high coverage on critical paths
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- Follow pytest best practices
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### Code Style
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- Black formatting
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- isort import sorting
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- Type hints with mypy
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- Comprehensive docstrings
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- Security best practices
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### Release Process
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1. Update version in `pyproject.toml`
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2. Update `CHANGELOG.md`
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3. Run full test suite
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4. Create git tag
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5. Automated publishing via GitHub Actions
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## Troubleshooting
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### Common Issues
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- **ImportError**: Run `pip install -e .` from repository root
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- **AsyncioError**: Ensure `asyncio_mode = "auto"` in pyproject.toml
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- **MockError**: Check that test fixtures are properly configured
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- **API Errors**: Verify VULTR_API_KEY environment variable
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### Test Debugging
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```bash
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# Single test with verbose output (using uv)
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uv run pytest tests/test_mcp_server.py::TestMCPTools::test_list_dns_domains_tool -vvv
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# Check pytest configuration
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uv run pytest --collect-only tests/
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# Validate imports
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uv run python -c "from vultr_dns_mcp.server import create_mcp_server"
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# Traditional approach
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pytest tests/test_mcp_server.py::TestMCPTools::test_list_dns_domains_tool -vvv
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pytest --collect-only tests/
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python -c "from vultr_dns_mcp.server import create_mcp_server"
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```
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## Support & Documentation
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- **GitHub**: https://github.com/rsp2k/vultr-dns-mcp
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- **PyPI**: https://pypi.org/project/vultr-dns-mcp/
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- **Documentation**: Complete API documentation and examples in package
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- **Issues**: Use GitHub Issues for bug reports and feature requests |