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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.

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What's in it

Data offered docs-verified
raster info · raster convert · raster reproject · raster stats · raster query · vector info · vector convert · vector reproject · vector clip · vector buffer · vector simplify · vector query · catalog, metadata and reference resources
Formats docs-verified
MCP stdio
Access docs-verified
Open source under the MIT licence. DOCS describe no credentials; access is limited by GDAL_MCP_WORKSPACES path scoping when set.

Useful for

Use cases llm-inferred
Reproject a site or survey raster to a UK projected CRS (e.g. EPSG:27700) with a recorded CRS justification before flood or drainage modelling · Clip and buffer vector site boundaries and study areas for a desk study or planning constraints check · Compute raster statistics on DEM or elevation tiles for catchment or drainage screening · Batch convert and simplify GIS layers into consistent formats for client handover
Audience llm-inferred
GIS analysts · flood consultants · drainage engineers · hydrologists · ecologists · planners

Limitations

Constraints docs-verified
Reflection middleware: tools whose methodology matters (e.g. raster_reproject, CRS choice, resampling) raise ToolError until a structured justification is supplied · Path access is restricted to GDAL_MCP_WORKSPACES; if unset, all paths are allowed and a warning is logged · Raster and vector tool sets are optional via RASTER and VECTOR environment flags · Input and output path parameters are not shown in DOCS; full parameters are in TOOLS.md, which was not supplied
Licence
MIT
Authentication
No credentials documented in README
GitHub stars
82
Last commit
25/05/2026
Last successful page check
14/10/2026
Page health
healthy
Package
pypi:gdal-mcp
Verification
Not independently verified

Provenance & evidence

Tools/install/auth auto-extracted from README; quality score heuristic (stars, recency, tool count, licence).

Metadata observed 15/10/2026 · research sweep: github-search