MCP Geo

MCP‑Geo is a lightweight Model Context Protocol server that exposes geocoding capabilities to large language models. By wrapping the popular geopy library, it turns geographic queries into a first‑class tool that can be invoked directly from an AI assistant. The server solves the common developer pain point of translating human‑readable place names into machine‑friendly coordinates, and vice versa, without the need to write custom API wrappers or manage external credentials.

The core value of MCP‑Geo lies in its seamless integration with AI workflows. A user can ask an assistant to “find the nearest coffee shop” or “how far is Paris from New York?” and the model can call the tool, which internally performs geocoding, calculates great‑circle distance, and returns the result in miles or kilometers. Because all logic resides on the server, developers can focus on higher‑level application design while relying on robust error handling and rate limiting built into the toolset.

Key features include:

• Single‑point geocoding () that resolves an address to latitude, longitude, and a canonical formatted string.
• Reverse geocoding () to translate coordinates back into human‑readable addresses.
• Batch operations (, ) that process lists of queries while respecting service quotas.
• Enhanced detail () providing bounding boxes and extra metadata when supported by the chosen provider.
• Distance calculations (, ) that return accurate measurements in the user’s preferred unit.

Real‑world scenarios span from travel planning bots that need to compute itineraries, to logistics platforms that must validate drop‑off locations, to location‑based recommendation systems that filter results by proximity. In each case, the MCP‑Geo server removes boilerplate code and ensures consistent behavior across different providers (Nominatim, ArcGIS, Bing, etc.) by exposing a single, well‑defined interface.

MCP‑Geo’s design offers several standout advantages. Its integration with fastmcp means it can be installed and managed directly from the Claude Desktop or any MCP‑compatible environment, simplifying deployment. Built‑in rate limiting protects against accidental quota overages, while comprehensive error handling guarantees that a failed lookup returns rather than crashing the assistant. Developers can also swap geocoding providers via environment variables, making the server adaptable to changing service terms or cost considerations. Overall, MCP‑Geo turns geographic intelligence into an out‑of‑the‑box tool that enhances the practicality and reliability of AI assistants in location‑aware applications.