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🌐 Vultr DNS MCP

PyPI version Python Support License: MIT Tests

A comprehensive Model Context Protocol (MCP) server for managing Vultr DNS records with AI assistants and direct Python integration

Installation • Quick Start • Features • Documentation • Contributing


✨ Features

🤖 AI Assistant Integration

  • MCP Server - Full Model Context Protocol support
  • Claude Integration - Direct integration with Claude AI
  • Natural Language - Understand complex DNS requests
  • Smart Validation - Built-in DNS record validation

🐍 Python Developer Tools

  • Client Library - Direct Python API for DNS operations
  • CLI Tool - Command-line interface for DNS management
  • Async Support - Full async/await compatibility
  • Type Safety - Complete type hints and validation

🌐 Complete DNS Management

  • All Record Types - A, AAAA, CNAME, MX, TXT, NS, SRV
  • Domain Operations - Create, update, delete domains
  • Bulk Operations - Efficient batch processing
  • TTL Management - Flexible time-to-live settings

📊 Advanced Features

  • Configuration Analysis - Analyze DNS setup with recommendations
  • Best Practices - Built-in DNS validation and suggestions
  • Error Handling - Comprehensive error management
  • Monitoring - Track DNS changes and performance

🚀 Quick Start

Get Your API Key

Get your Vultr API key from the Vultr Control Panel.

export VULTR_API_KEY="your_vultr_api_key_here"

🤖 AI Assistant Integration

Claude Integration

Add to your ~/.config/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "vultr-dns": {
      "command": "uvx",
      "args": ["vultr-dns-mcp"],
      "env": {
        "VULTR_API_KEY": "your_vultr_api_key_here"
      }
    }
  }
}

🛠️ CLI Usage

The package includes a comprehensive CLI for all DNS operations:

# List domains
vultr-dns-mcp domains list

# Get domain information  
vultr-dns-mcp domains info example.com

# Create a new domain
vultr-dns-mcp domains create example.com 192.168.1.100

# List DNS records
vultr-dns-mcp records list example.com

# Add DNS records
vultr-dns-mcp records add example.com A www 192.168.1.100
vultr-dns-mcp records add example.com MX @ mail.example.com --priority 10

# Set up a website
vultr-dns-mcp setup-website example.com 192.168.1.100

# Set up email
vultr-dns-mcp setup-email example.com mail.example.com

Available MCP Tools

The server provides comprehensive MCP resources and tools that any MCP-compatible client can discover and use:

Tool Description Example Usage
list_dns_domains() List all domains "Show me all my domains"
get_dns_domain(domain) Get domain details "Get info for example.com"
create_dns_domain(domain, ip) Create domain "Create domain newsite.com"
delete_dns_domain(domain) Delete domain "Remove old.example.com"
list_dns_records(domain) List records "Show DNS records for mysite.com"
create_dns_record(...) Create record "Add A record for www"
update_dns_record(...) Update record "Change the IP for www"
delete_dns_record(domain, record_id) Delete record "Remove the CNAME record"
validate_dns_record(...) Validate record "Check this MX record"
analyze_dns_records(domain) Analyze configuration "Analyze DNS setup for mysite.com"

📋 Supported DNS Record Types

Type Description Example
A IPv4 address 192.168.1.100
AAAA IPv6 address 2001:db8::1
CNAME Domain alias example.com
MX Mail server mail.example.com (requires priority)
TXT Text data v=spf1 include:_spf.google.com ~all
NS Name server ns1.example.com
SRV Service record 0 5 443 example.com (requires priority)

🧪 Development

Setup

# Clone the repository
git clone https://github.com/rsp2k/vultr-dns-mcp.git
cd vultr-dns-mcp

# Install development dependencies
pip install -e .[dev]

Running Tests

# Run all tests
pytest

# Run with coverage
pytest --cov=vultr_dns_mcp

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

Code Quality

# format
black check --diff

# lint
ruff check src/

# Type checking TODO
# mypy src

📖 Documentation


🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

Quick Contribution Setup

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Make your changes
  4. Test your changes (pytest)
  5. Commit your changes (git commit -m 'Add amazing feature')
  6. Push to the branch (git push origin feature/amazing-feature)
  7. Open a Pull Request

📝 License

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


🆘 Support


🙏 Acknowledgments


⬆ Back to Top

Made with ❤️ by rsp2k

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