MCP server enabling LLMs to perform geospatial operations and transformations using GIS libraries and diverse data sources.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent â or use 1-click editor setup below.
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag â we're steadily working through the catalog.
đĄ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Gis MCP.
GIS-MCP is an open-source Model Context Protocol (MCP) server that connects AI assistants and Large Language Models (LLMs) with GIS and geospatial operations.
It enables AI agents to perform geospatial analysis, spatial data processing, vector and raster operations, coordinate transformations, spatial statistics, mapping, and other GIS workflows through MCP-compatible clients.
đ Official Documentation: https://gis-mcp.com
đŚ PyPI: https://pypi.org/project/gis-mcp/
đť Source Code: https://github.com/mahdin75/gis-mcp
92+ GIS tools across Shapely, GeoPandas, PyProj, Rasterio, PySAL, visualization, satellite imagery, climate, ecology, movement, and land-cover data.
Install GIS-MCP and transform your AI's spatial capabilities!
Current version is 0.15.0 (Beta):
We welcome contributions and developers to join us in building this project.
Factual signals from GitHub, npm, and our automated checks â not a rating.
No reviews yet â be the first to share how this listing worked for you.
Showcase your server listing on GitHub or your project documentation. Embed this dynamic SVG badge to highlight official listing status and live engagement.
[](https://allmcps.com/mcp/mahdin75-gis-mcp)<a href="https://allmcps.com/mcp/mahdin75-gis-mcp"><img src="https://allmcps.com/api/badge/mahdin75-gis-mcp?style=directory" alt="Gis MCP on AllMCPs" /></a>