Geocode MCP Server
Provides global geocoding capabilities to convert city names and addresses into latitude/longitude coordinates using the free OpenStreetMap Nominatim API.
README
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
- 🆓 Free API: Uses OpenStreetMap Nominatim (no API key required)
- � MCP Integration: Works with Cursor, VS Code, Claude Desktop, and other MCP-compatible tools
- 📦 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):
uvx geocode-mcp
Or install with pip:
pip install geocode-mcp
MCP Configuration
Add to your MCP client configuration:
{
"mcpServers": {
"geocoding": {
"command": "uvx",
"args": ["geocode-mcp"]
}
}
}
See the 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:
{
"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 to your Cursor MCP settings.
VS Code
Copy the configuration from config/vscode-mcp.json to your VS Code MCP settings.
Claude Desktop
Copy the configuration from config/claude-desktop.json to your Claude Desktop config file.
See the config README for detailed setup instructions.
Development
Setup
# 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
# 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
# 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:
python -m geocode_mcp.server
Or use the development configuration in your MCP client:
{
"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/
├── src/geocode_mcp/ # Main source code
│ └── server.py # MCP server implementation
├── tests/ # Test suite
│ ├── test_geocoding.py # Geocoding functionality tests
│ ├── test_mcp_server.py # MCP server integration tests
│ ├── test_mcp.py # MCP protocol tests
│ └── test_vscode.py # VS Code integration tests
├── config/ # Configuration examples
│ ├── cursor-mcp.json # Cursor configuration
│ ├── vscode-mcp.json # VS Code configuration
│ ├── claude-desktop.json # Claude Desktop configuration
│ └── README.md # Configuration guide
├── docs/ # Documentation
├── pyproject.toml # Project configuration
├── requirements.txt # Production dependencies
├── requirements-dev.txt # Development dependencies
└── README.md # This file
API Reference
Core Functions
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
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Make your changes
- Run tests (
pytest) - Run linting (
ruff check && ruff format) - Commit your changes (
git commit -m 'Add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
See CONTRIBUTING.md for more details.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Acknowledgments
- OpenStreetMap for providing the free Nominatim geocoding service
- Model Context Protocol 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
# Install production dependencies
make install
# Install development dependencies
make install-dev
Configuration
Cursor Integration
See Cursor Integration Guide for detailed setup instructions.
VSCode Integration
Run the VSCode integration tests:
python tests/test_vscode.py
API Reference
Geocoding Function
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
- Fork the repository
- Create a feature branch
- Make your changes
- Run tests:
make test - Run linting:
make lint - Submit a pull request
See CONTRIBUTING.md for more details.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Acknowledgments
- OpenStreetMap for providing the Nominatim geocoding service
- MCP for the protocol specification
---
## 🚀 Quick Setup Instructions
1. **Create Project Folder:**
```bash
mkdir mcp-geocoding-server-python
cd mcp-geocoding-server-python
-
Copy Files: Copy each file section above into files with the respective names
-
Install Dependencies:
pip install -r requirements.txt -
Run the Server:
python geocoding_server.py -
Configure MCP Client: Add to your MCP client (like Claude Desktop) configuration:
{ "mcpServers": { "geocoding": { "command": "python", "args": ["/full/path/to/mcp-geocoding-server-python/geocoding_server.py"] } } }
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