GIS MCP Server

Example Use Cases

• 1

  Perform geometric operations and topology checks (buffer, intersection, union, validate, simplify) on vector geometries.

• 2

  Process and analyze raster data (clip, resample, reproject, compute NDVI, zonal statistics, hillshade) and export results.

• 3

  Generate static and interactive maps or integrate geospatial workflows into MCP-compatible clients (Claude Desktop, Cursor IDE) for automated spatial analysis.

Description

GIS MCP Server exposes a wide set of GIS tools (Shapely, PyProj, GeoPandas, Rasterio, PySAL and visualization libraries) through the Model Context Protocol so LLM-based agents can run geometry operations, raster/vector processing, spatial statistics, and map visualizations. It supports raster and vector workflows, coordinate transformations, zonal statistics, NDVI and other remote-sensing tasks, and integrates with MCP-compatible clients like Claude Desktop and Cursor. The project is extensible for custom tools and geared toward making AI 'think spatially' for environmental analysis, mapping, and location intelligence.