A Model Context Protocol (MCP) server that provides AI assistants with domain name availability checking capabilities. This server enables AI models to check if domain names are available for registration and validate domain syntax in real-time.

The NameChecker MCP Server bridges the gap between AI assistants and domain registration services by providing:

• Real-time Domain Availability Checking: Instant verification of domain name availability
• Domain Syntax Validation: RFC-compliant domain name format validation
• AI-Friendly Integration: Seamless integration with AI assistants through the MCP protocol
• Flexible Transport Options: Support for both stdio and Server-Sent Events (SSE) transports

Checks if a domain name is available for registration.

Parameters:

• domain (string, required): Domain name to check (with or without TLD)
• tld (string, optional): Top-level domain, defaults to "com"

Returns: Boolean indicating availability (true = available, false = unavailable)

Example Usage:

{
  "name": "check_domain_availability",
  "arguments": {
    "domain": "my-awesome-startup",
    "tld": "com"
  }
}

Validates domain name syntax according to RFC standards.

Parameters:

• domain (string, required): Domain name to validate

Returns: Object with validation results and details

Example Usage:

{
  "name": "validate_domain_syntax",
  "arguments": {
    "domain": "my-domain.com"
  }
}

Sample Response:

{
  "valid": true,
  "domain": "my-domain",
  "tld": "com",
  "full_domain": "my-domain.com",
  "length": 13
}

• Python 3.9 or higher
• pip (Python package manager)

# Clone the repository
git clone <repository-url>
cd namechecker-mcp

# Install in development mode
pip install -e ".[dev]"

pip install mcp httpx pydantic

# Run with default stdio transport
python main.py

# Run with SSE transport on port 8000
python main.py --transport sse --port 8000

# Run with custom settings
python main.py --transport stdio --log-level DEBUG --timeout 60

# Show help
python main.py --help

Available Arguments:

• --transport: Transport protocol (stdio or sse, default: stdio)
• --port: Port number for SSE transport (default: 8000)
• --log-level: Logging verbosity (DEBUG, INFO, WARNING, ERROR, default: INFO)
• --timeout: Request timeout in seconds (default: 30)

To use this server with an MCP-compatible client (like Claude Desktop, Cline, or other AI assistants), add it to your MCP configuration file.

Location:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%/Claude/claude_desktop_config.json

Configuration:

{
  "mcpServers": {
    "namechecker": {
      "command": "python",
      "args": ["/path/to/namechecker-mcp/main.py"],
      "env": {
        "LOG_LEVEL": "INFO"
      }
    }
  }
}

Add to your Cline MCP settings:

{
  "mcpServers": {
    "namechecker": {
      "command": "python",
      "args": ["/absolute/path/to/main.py"],
      "cwd": "/absolute/path/to/namechecker-mcp"
    }
  }
}

Stdio Transport Configuration:

{
  "name": "namechecker",
  "transport": {
    "type": "stdio",
    "command": "python",
    "args": ["/path/to/main.py"]
  }
}

SSE Transport Configuration:

{
  "name": "namechecker",
  "transport": {
    "type": "sse",
    "url": "http://localhost:8000/messages"
  }
}

namechecker-mcp/
├── main.py              # Main MCP server implementation
├── pyproject.toml       # Project configuration and dependencies
├── tests/               # Unit tests
│   ├── __init__.py
│   └── test_domain_checker.py
├── details/             # Project documentation
│   └── PRD.md          # Product Requirements Document
├── .cursor/             # Cursor IDE rules
│   └── rules/
└── README.md           # This file

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

# Run tests
pytest tests/ -v

# Run tests with coverage
pytest tests/ --cov=main --cov-report=html

# Format code
black .

# Lint code
ruff check .

# Type checking
mypy main.py

# Through MCP client
result = await mcp_client.call_tool("check_domain_availability", {
    "domain": "my-startup-idea"
})
# Returns: true or false

# Through MCP client
result = await mcp_client.call_tool("validate_domain_syntax", {
    "domain": "my-domain.co.uk"
})
# Returns: {"valid": true, "domain": "my-domain", "tld": "co.uk", ...}

# Check multiple domains through AI assistant
domains = ["startup1.com", "startup2.net", "startup3.org"]
results = []
for domain in domains:
    available = await mcp_client.call_tool("check_domain_availability", {
        "domain": domain
    })
    results.append({"domain": domain, "available": available})

• ✅ Domain availability checking via DNS resolution
• ✅ Mock WHOIS API integration (ready for real API)
• ✅ RFC-compliant domain syntax validation
• ✅ Stdio transport support
• ✅ SSE transport implementation
• ✅ Comprehensive input validation
• ✅ Error handling and logging
• ✅ Command-line interface
• ✅ Health check endpoint for SSE transport
• ✅ CORS support for web clients

1. Domain Validation: Input domains are validated for proper format and syntax
2. Availability Checking: The server uses multiple methods to check availability:
   • Primary: WHOIS API services (currently mocked)
   • Fallback: DNS resolution checking
3. Result Processing: Results are returned as boolean values or detailed objects
4. Error Handling: Comprehensive error handling with meaningful messages

• Mock WHOIS API: Currently uses a mock implementation for testing
• DNS-Based Checking: Fallback method may not be 100% accurate for all domains
• Rate Limiting: No built-in rate limiting (depends on external APIs)

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

• Follow the coding standards defined in .cursor/rules/
• Write tests for new functionality
• Update documentation as needed
• Use type hints for all functions

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

1. "Module not found" errors

# Ensure dependencies are installed
pip install -e ".[dev]"

2. Permission denied

# Make sure the script is executable
chmod +x main.py

3. MCP client can't connect

• Verify the correct path in your MCP configuration
• Check that Python is available in your PATH
• Review logs for error messages

4. Domain checks always return False

• Check network connectivity
• Verify DNS resolution is working
• Review timeout settings

# Run with detailed logging
python main.py --log-level DEBUG

• Model Context Protocol Documentation
• Claude Desktop MCP Guide
• RFC 1035 - Domain Names
• Python MCP SDK

For questions, issues, or contributions:

• Create an issue in the GitHub repository
• Review the PRD document in details/PRD.md
• Check the development rules in .cursor/rules/

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