gdal-mcp

by JordanGunn · MCP Server · ★ 72

About 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.

earth-observationgdalgeospatialgismcpmcp-serverrasterremote-sensing

Quick Facts

Stars72
Forks7
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score45.15/100
Open Issues2
Last Updated2026-05-21
Created2025-09-05
Platformsmcp, python
Est. Tokens~62k

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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