83
/100
B
◉ Complete 5⁄5
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.
pandas
Glama
MCP Surface
Tools: 11
Template Description
Schema Drift
Complete visibility
— 5/5 applicable dimensions scored
✓ Schema Quality
✓ Protocol
— Reliability
✓ Docs & Maintenance
✓ Security Hygiene
✓ Schema Interpretability
Schema Quality
75
42% weight
Protocol Compliance
N/A
Local server
Reliability
N/A
Local server
Docs & Maintenance
85
25% weight
Security Hygiene
83
33% weight
Schema Interpretability
91
15% weight
Score History
Category Trends
Static Analysis
| Metric | Score | Rating |
|---|---|---|
| Schema Completeness | 90 | Good |
| Description Quality | 90 | Good |
| Documentation Coverage | 75 | Good |
| Maintenance Pulse | 91 | Good |
| Dependency Health | 75 | Good |
| License Clarity | 100 | Good |
| Version Hygiene | 90 | Good |
Analyzed 2 months, 2 weeks ago
Protocol Compliance
Schema Issues (44)
raster_convert.uri: missing description
raster_convert.output: missing description
raster_convert.options: missing description
raster_info.uri: missing description
raster_info.band: missing description
raster_reproject.uri: missing description
raster_reproject.output: missing description
raster_reproject.dst_crs: missing description
raster_reproject.resampling: missing description
raster_reproject.src_crs: missing description
raster_reproject.resolution: missing description
raster_reproject.width: missing description
raster_reproject.height: missing description
raster_reproject.bounds: missing description
raster_reproject.nodata: missing description
... and 29 more
Probed 2 months, 2 weeks ago
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