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webcoderz/MCP-Geo

by Various

Geocoding MCP server with GeoPY!

W

MCP

webcoderz/MCP-Geo

Added 1 June 2026

Overview

An MCP server that uses the GeoPY library to provide geocoding and reverse geocoding. It converts addresses to coordinates and vice versa, making location data accessible to MCP-compatible clients.

Best for

Best for
Developers who need basic geocoding functionality in MCP-based AI tools and prefer a lightweight Python solution.

Use cases

  • Add geocoding to AI assistants for location-aware responses
  • Convert user-provided addresses into latitude/longitude for mapping
  • Reverse geocode coordinates to obtain human-readable addresses

How to use

Install

fastmcp install geo.py --name "MCP Geo"

Tools exposed

  • geocode_location
  • reverse_geocode
  • geocode_with_details
  • geocode_multiple_locations
  • reverse_geocode_multiple_locations
  • distance_between_addresses
  • distance_between_coords

Tested with

Claude Desktop

Example client config

[object Object]

Notes

An MCP server that uses the GeoPY library to provide geocoding and reverse geocoding. It converts addresses to coordinates and vice versa, making location data accessible to MCP-compatible clients.

32 stars on GitHub. Last updated 2025-01-21. Licensed MIT.

Use cases

  • Add geocoding to AI assistants for location-aware responses
  • Convert user-provided addresses into latitude/longitude for mapping
  • Reverse geocode coordinates to obtain human-readable addresses

Pros

  • Simple Python implementation with minimal dependencies
  • Leverages the well-maintained GeoPY library for geocoding
  • Easy to integrate into MCP-based workflows

Cons

  • Limited to GeoPY’s supported geocoding services (no Google Maps or custom providers)
  • Small community with only 32 stars, so limited support and updates
  • May lack advanced features like batch geocoding or address validation

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Simple Python implementation with minimal dependencies
  • Leverages the well-maintained GeoPY library for geocoding
  • Easy to integrate into MCP-based workflows

Cons

  • Limited to GeoPY's supported geocoding services (no Google Maps or custom providers)
  • Small community with only 32 stars, so limited support and updates
  • May lack advanced features like batch geocoding or address validation
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