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 intelligence, and raster/vector processing with built-in reasoning guidance and reference resources.
Star & Fork Trend (17 data points)
Multi-Source Signals
Growth Velocity
JordanGunn/gdal-mcp has +0 stars this period . 7-day velocity: 3.3%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | gdal-mcp | clawfu-skills | cesium-mcp | opencode-chat-bridge |
|---|---|---|---|---|
| Stars | 63 | 63 | 64 | 62 |
| Forks | 6 | 10 | 11 | 7 |
| Weekly Growth | +0 | +1 | +0 | +0 |
| Language | Python | Python | JavaScript | TypeScript |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | MIT | MIT | MIT |
Capability Radar vs clawfu-skills
Last code push 6 days ago.
Fork-to-star ratio: 9.5%. Lower fork ratio may indicate passive usage.
Issue data not yet available.
No measurable growth in the current period (first-day cold start expected).
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.