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.
Description supplied by the publisher; it is a claim, not verified evidence.
- Name
- github:JordanGunn/gdal-mcp
- Listed in
- GitHub
- Publisher
- @jordangunn
- Published
- 2025-09-05
- License
- MIT
- Evidence
- Listed only, not analyzed yet
Source: https://github.com/jordangunn/gdal-mcp
What a full analysis of gdal-mcp checks
Not checked yet. About 60 tools are analyzed every hour; each check links to its source when it runs:
- Publisher identity: not checked yet
- Repository ownership: not checked yet
- Organization verification: not checked yet
- Artifact provenance: not checked yet
- Source availability: not checked yet
- Version evidence: not checked yet
- Known vulnerabilities: not checked yet
- Install scripts: not checked yet
- Maintenance: not checked yet
- License: not checked yet
Before you install it
- Open the repository and confirm the account is the one you expect: look-alike names are common.
- Read what it asks for: files, accounts, network access and credentials it needs.
- Prefer a version from a verified publisher when one exists.