Skip to main content
Glama
X-McKay
by X-McKay
README.mdβ€’8.19 kB
# Geocode MCP Server A Model Context Protocol (MCP) server that provides latitude/longitude coordinates for cities and locations using the OpenStreetMap Nominatim API. ## Features - 🌍 **Global Geocoding**: Get coordinates for any location worldwide - πŸ†“ **Free API**: Uses OpenStreetMap Nominatim (no API key required) - οΏ½ **MCP Integration**: Works with Cursor, VS Code, Claude Desktop, and other MCP-compatible tools - πŸ“¦ **Easy Installation**: Install via PyPI with `uvx geocode-mcp` - �️ **Modern Tooling**: Built with Python 3.12+, async/await, and comprehensive testing ## Quick Start ### Installation Install the package from PyPI using uvx (recommended): ```bash uvx geocode-mcp ``` Or install with pip: ```bash pip install geocode-mcp ``` ### MCP Configuration Add to your MCP client configuration: ```json { "mcpServers": { "geocoding": { "command": "uvx", "args": ["geocode-mcp"] } } } ``` See the [`config/`](config/) directory for specific examples for different tools. ## Available Tools ### `mcp_geocoding_get_coordinates` Get latitude and longitude coordinates for a city or location. **Parameters:** - `location` (required): City name, address, or location (e.g., "New York", "Paris, France", "123 Main St, Seattle") - `limit` (optional): Maximum number of results to return (default: 1, max: 10) **Example Usage:** ``` Get coordinates for Tokyo, Japan Find the latitude and longitude of London, UK What are the coordinates for New York City? Get coordinates for "1600 Pennsylvania Avenue, Washington DC" with limit 5 ``` **Response Format:** ```json { "query": "Tokyo, Japan", "results_count": 1, "coordinates": [ { "latitude": 35.6762, "longitude": 139.6503, "display_name": "Tokyo, Japan", "place_id": "282885117", "type": "city", "class": "place", "importance": 0.9, "bounding_box": { "south": 35.619, "north": 35.739, "west": 139.619, "east": 139.682 } } ] } ``` ## Integration Guides ### Cursor Copy the configuration from [`config/cursor-mcp.json`](config/cursor-mcp.json) to your Cursor MCP settings. ### VS Code Copy the configuration from [`config/vscode-mcp.json`](config/vscode-mcp.json) to your VS Code MCP settings. ### Claude Desktop Copy the configuration from [`config/claude-desktop.json`](config/claude-desktop.json) to your Claude Desktop config file. See the [config README](config/README.md) for detailed setup instructions. ## Development ### Setup ```bash # Clone the repository git clone https://github.com/X-McKay/geocode-mcp.git cd geocode-mcp # Install with development dependencies pip install -e ".[dev]" ``` ### Running Tests ```bash # Run all tests pytest # Run with coverage pytest --cov=src/geocode_mcp --cov-report=html # Run specific test files pytest tests/test_geocoding.py -v pytest tests/test_mcp_server.py -v ``` ### Code Quality ```bash # Format code ruff format # Lint code ruff check # Run all checks ruff check && ruff format --check ``` ### Local Development For local development and testing, you can run the server directly: ```bash python -m geocode_mcp.server ``` Or use the development configuration in your MCP client: ```json { "mcpServers": { "geocoding": { "command": "python", "args": ["-m", "geocode_mcp.server"], "cwd": "/path/to/geocode-mcp", "env": { "PYTHONPATH": "/path/to/geocode-mcp/src" } } } } ``` ## Project Structure ``` geocode-mcp/ β”œβ”€β”€ src/geocode_mcp/ # Main source code β”‚ └── server.py # MCP server implementation β”œβ”€β”€ tests/ # Test suite β”‚ β”œβ”€β”€ test_geocoding.py # Geocoding functionality tests β”‚ β”œβ”€β”€ test_mcp_server.py # MCP server integration tests β”‚ β”œβ”€β”€ test_mcp.py # MCP protocol tests β”‚ └── test_vscode.py # VS Code integration tests β”œβ”€β”€ config/ # Configuration examples β”‚ β”œβ”€β”€ cursor-mcp.json # Cursor configuration β”‚ β”œβ”€β”€ vscode-mcp.json # VS Code configuration β”‚ β”œβ”€β”€ claude-desktop.json # Claude Desktop configuration β”‚ └── README.md # Configuration guide β”œβ”€β”€ docs/ # Documentation β”œβ”€β”€ pyproject.toml # Project configuration β”œβ”€β”€ requirements.txt # Production dependencies β”œβ”€β”€ requirements-dev.txt # Development dependencies └── README.md # This file ``` ## API Reference ### Core Functions ```python async def geocode_location(location: str, limit: int = 1) -> dict[str, Any]: """ Geocode a location using OpenStreetMap Nominatim API. Args: location: The location to geocode limit: Maximum number of results (1-10) Returns: Dictionary containing query, results_count, and coordinates """ ``` ### MCP Server The server implements the Model Context Protocol and provides the `mcp_geocoding_get_coordinates` tool for use in MCP-compatible applications. ## Contributing 1. Fork the repository 2. Create a feature branch (`git checkout -b feature/amazing-feature`) 3. Make your changes 4. Run tests (`pytest`) 5. Run linting (`ruff check && ruff format`) 6. Commit your changes (`git commit -m 'Add amazing feature'`) 7. Push to the branch (`git push origin feature/amazing-feature`) 8. Open a Pull Request See [CONTRIBUTING.md](CONTRIBUTING.md) for more details. ## License This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details. ## Acknowledgments - [OpenStreetMap](https://www.openstreetmap.org/) for providing the free Nominatim geocoding service - [Model Context Protocol](https://modelcontextprotocol.io/) for the protocol specification - The Python MCP SDK team for the excellent tooling make lint # Format code make format # Type check make type-check # Run all checks make check-all ``` ### Testing ```bash # Run all tests make test # Run with coverage make test-cov # Run specific test categories pytest tests/test_geocoding.py -v # Geocoding tests pytest tests/test_mcp.py -v # MCP server tests python tests/test_mcp_server.py # Integration tests python tests/test_vscode.py # VSCode tests ``` ### Installation ```bash # Install production dependencies make install # Install development dependencies make install-dev ``` ## Configuration ### Cursor Integration See [Cursor Integration Guide](docs/cursor-integration.md) for detailed setup instructions. ### VSCode Integration Run the VSCode integration tests: ```bash python tests/test_vscode.py ``` ## API Reference ### Geocoding Function ```python async def geocode_location(location: str, limit: int = 1) -> dict[str, Any]: """Geocode a location using Nominatim API.""" ``` ### MCP Server The server provides the `get_coordinates` tool that can be called via the MCP protocol. ## Contributing 1. Fork the repository 2. Create a feature branch 3. Make your changes 4. Run tests: `make test` 5. Run linting: `make lint` 6. Submit a pull request See [CONTRIBUTING.md](CONTRIBUTING.md) for more details. ## License This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details. ## Acknowledgments - [OpenStreetMap](https://www.openstreetmap.org/) for providing the Nominatim geocoding service - [MCP](https://modelcontextprotocol.io/) for the protocol specification ``` --- ## πŸš€ Quick Setup Instructions 1. **Create Project Folder:** ```bash mkdir mcp-geocoding-server-python cd mcp-geocoding-server-python ``` 2. **Copy Files:** Copy each file section above into files with the respective names 3. **Install Dependencies:** ```bash pip install -r requirements.txt ``` 4. **Run the Server:** ```bash python geocoding_server.py ``` 5. **Configure MCP Client:** Add to your MCP client (like Claude Desktop) configuration: ```json { "mcpServers": { "geocoding": { "command": "python", "args": ["/full/path/to/mcp-geocoding-server-python/geocoding_server.py"] } } }

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/X-McKay/geocode-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server