Trust score
88/100
MarketNow Registry / Monitoring / gdal-mcp
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
Monitoring
v0.0.0
by JordanGunn
Install risk
Review advised
GitHub stars
80
Source
github
Indexed
2026-09-10
Install
$ git clone https://github.com/JordanGunn/gdal-mcpHeuristic signals advise review before installing: young package, low adoption, stale repository, or name similarity to a popular package.
Adoption evidence: 80 GitHub stars.
How MarketNow scored this
Sentinel Index Heuristics — a security-first estimate from public signals:
- Package age and release activity (stale repositories lose points)
- Verified adoption: registry downloads or GitHub stars, not follower counts
- Typosquat distance against the 150 most-installed MCP packages
- Injection markers scanned in the package description
Heuristic, not a guarantee. For verified agent credentials and revocation, see the MarketNow Trust API.
What is 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 Indexed by MarketNow with trust 88/100 (Review advised).
How do I install it?
Run $ git clone https://github.com/JordanGunn/gdal-mcp Heuristic signals advise review before installing: young package, low adoption, stale repository, or name similarity to a popular package.
What does the trust score mean?
Security-first heuristic over public signals (age, adoption, typosquat distance, injection markers). It is not a popularity ranking and not a guarantee of safety. gdal-mcp scores 88/100.