gdal-mcp

33/100

⭐ 72 stars 🔀 7 forks 🔧 Python 📄 MIT 🕐 2026-05-25

📊 Dataearth-observationgdalgeospatialgismcpmcp-serverrasterremote-sensing

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.

📊 Score Breakdown

Recency7/20

Documentation5/15

Tests3/10

Auth/Security3/10

Star Velocity5/15

Security Audit5/15

Install Docs5/15

Language: Python

⚡ Install

# Clone and install
git clone https://github.com/JordanGunn/gdal-mcp
cd gdal-mcp
npm install  # or: pip install -r requirements.txt

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About gdal-mcp — gdal-mcp is a 📊 Data MCP server with a quality score of 33/100 (D grade). It has ⭐72 GitHub stars, 🔀7 forks, and is written in Python. 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

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