JordanGunn/gdal-mcp
Model Context Protocol server that packages GDAL-style geospatial workflows through Python-native libraries (Rasterio, GeoPandas, PyProj, etc.) to give AI agents catalog discovery, metadata intelligence, and raster/vector processing with built-in reasoning guidance and reference resources.
This tool helps geospatial professionals, scientists, and data analysts perform complex geospatial analysis using AI agents. It processes various geospatial data like satellite imagery and shapefiles, enabling operations such as reprojection, format conversion, and statistical analysis. The key output is not just processed data, but also a clear, documented explanation from the AI of why specific methodological choices (like resampling or coordinate systems) were made, ensuring scientifically sound and reproducible results.
Use this if you need an AI agent to perform geospatial data analysis and require it to explain and justify its methodological decisions for transparency, accuracy, and reproducibility.
Not ideal if you are looking for a simple, 'black-box' tool that executes geospatial commands without requiring an explicit reasoning or audit trail from the AI.
Stars
56
Forks
4
Language
Python
License
MIT
Category
Last pushed
Feb 20, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/mcp/JordanGunn/gdal-mcp"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ivnvxd/mcp-server-odoo
A Model Context Protocol (MCP) server that enables AI assistants to securely interact with Odoo...
StarRocks/mcp-server-starrocks
StarRocks MCP (Model Context Protocol) Server
Vortiago/mcp-outline
A Model Context Protocol (MCP) server enabling AI assistants to interact with Outline...
neo4j-contrib/mcp-neo4j
Neo4j Labs Model Context Protocol servers
cbcoutinho/nextcloud-mcp-server
Nextcloud MCP Server