gdal-mcp

About gdal-mcp

gdal-mcp MCP server exposing GDAL/Rasterio operations to AI agents, with a reflection middleware that requires structured justification before executing operations whose methodology matters (CRS choice, resampling method, query extent). Install Via uvx (recommended) Via Docker Local development Configure your MCP client Claude Desktop Add to (macOS: , Windows: , Linux: ): json { "mcpServers": { "gdal-mcp": { "command": "

earth-observation gdal geospatial gis mcp mcp-server raster remote-sensing

Quick Facts

Stars	72
Forks	7
Language	Python
Category	MCP Server
License	MIT
Quality Score	77.5634965591893/100
Open Issues	1
Last Updated	2026-05-25
Created	2025-09-05
Platforms	mcp, python
Est. Tokens	~67k

Compatible Skills

These tools work well together with gdal-mcp for enhanced workflows:

OpenEarthAgent — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (54%)
agent-skills-hub — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (51%)
sec-edgar-mcp — semantic(0.30)+same_lang+similar_pop+shared_platform (45%)

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Frequently Asked Questions

What is gdal-mcp?

gdal-mcp is 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 intelligen. It is categorized as a MCP Server with 72 GitHub stars.

What programming language is gdal-mcp written in?

gdal-mcp is primarily written in Python. It covers topics such as earth-observation, gdal, geospatial.

How do I install or use gdal-mcp?

You can find installation instructions and usage details in the gdal-mcp GitHub repository at github.com/JordanGunn/gdal-mcp. The project has 72 stars and 7 forks, indicating an active community.

What license does gdal-mcp use?

gdal-mcp is released under the MIT license, making it free to use and modify according to the license terms.

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