What are the system requirements?
Python 3.6 or higher is required.
@webcoderz
Basic information
Geocoding MCP server with GeoPY!
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"MCP-Geo": {
"command": "uv",
"args": [
"pip",
"install",
"-r",
"requirements.txt"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
MCP-Geo is a geocoding MCP server built with GeoPy. It provides tools that allow Large Language Models (LLMs) to geocode addresses, reverse geocode coordinates, calculate distances, and perform batch lookups in a rate-limited, error-handled way. It is aimed at developers integrating location capabilities into AI workflows via Claude Desktop or other MCP clients.
Clone the repository, install dependencies with uv sync, then install the server using fastmcp install geo.py --name "MCP Geo" for Claude Desktop. For other environments, add the JSON configuration (with command: "uv", args: ["--directory", "MCP-Geo", "run", "geo.py"]) to your MCP settings file, optionally setting environment variables like GEOCODER_PROVIDER, NOMINATIM_URL, or API keys for alternative providers.
Python 3.6 or higher is required.
The server requires `fastmcp` (for the MCP framework) and `geoPy` (for geocoding). All dependencies are listed in `requirements.txt` and can be installed via `uv sync`.
Run `fastmcp install geo.py --name "MCP Geo"` after cloning the repository and installing dependencies.
Set the `GEOCODER_PROVIDER` environment variable to `"nominatim"`, `"arcgis"`, or `"bing"`. Additional variables (e.g., `ARC_USERNAME`, `ARC_PASSWORD`, `BING_API_KEY`, `NOMINATIM_URL`, `SCHEME`) can be configured in the MCP settings file or shell environment.
Rate limiting (default 1‑second delay per geocoding call) prevents hitting service quotas, and error handling catches geopy exceptions, returning `None` instead of crashing.
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