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 intelligen
- Stars
- 83
- Forks
- 7
- Open issues
- 0
- Last push
- 5mo ago
gdal-mcp star history
+1 this week
Can I sell what I build with it?
Yes
A guide, not legal advice.
About gdal-mcp
gdal-mcp is a free, open-source AI agent tool by JordanGunn, written mainly 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. It has 83 GitHub stars and 7 forks, and was last updated 5mo ago. It's released under the MIT license, a standard open-source license. According to the project, it works on macOS.
- License
- MIT
- Commercial use
- Commercial OK
- Language
- Python
- Stars
- 83
- Last update
- 5mo ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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gdal-mcp FAQ
Can I use gdal-mcp commercially?
Yes. MIT is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.
Is gdal-mcp free?
Yes. gdal-mcp is open source and free to use. It's released under the MIT license, a standard open-source license.
Does gdal-mcp run on a Mac?
Yes. According to the project, gdal-mcp works on macOS.
Does gdal-mcp need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is gdal-mcp still maintained?
It was last updated 5mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to gdal-mcp?
Similar free, open-source tools include mcp, apify-mcp-server, github-mcp-server, fastmcp.
Maintain gdal-mcp?
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