What is the GIS MCP Server?

The GIS MCP Server is an implementation of the Model Context Protocol (MCP) that connects Large Language Models (LLMs) to GIS operations using libraries like Shapely and PyProj, enabling AI assistants to perform geospatial tasks.

What are the key features of the GIS MCP Server?

Key features include comprehensive geometric operations, advanced coordinate transformations, precise distance and area calculations, spatial analysis, and easy integration with MCP-compatible clients.

What are some use cases for the GIS MCP Server?

Use cases include urban planning, logistics and transportation, environmental monitoring, disaster response, agriculture, and real estate analysis.

How do I install the GIS MCP Server?

You can install it using pip (pip install gis-mcp) or in development mode for contributing. Follow the detailed instructions in the project’s documentation.

What is UBOS and how does it relate to the GIS MCP Server?

UBOS is a full-stack AI Agent Development Platform. The GIS MCP Server enhances UBOS by providing geospatial capabilities to AI agents, enabling more sophisticated location-based applications.

Which GIS libraries are currently supported?

Currently, the server supports Shapely for geometric operations and PyProj for coordinate transformations and projections.

What kind of operations can I perform with Shapely?

You can perform basic operations like buffer, intersection, union, and difference, as well as more advanced operations like convex hull calculations and geometry transformations.

What kind of operations can I perform with PyProj?

You can perform coordinate transformations, retrieve CRS information, and calculate geodetic distances and areas.

How do I configure the GIS MCP Server with Claude or Cursor?

Add the provided JSON configuration to your Claude Desktop or Cursor IDE settings, ensuring you replace placeholders with your actual paths.

Can I contribute to the GIS MCP Server?

Yes, contributions are welcome! Fork the repository, create a feature branch, commit your changes, and open a pull request.