mcp · Global

gis-mcp

A Model Context Protocol (MCP) server implementation that connects Large Language Models (LLMs) to GIS operations using GIS libraries, enabling AI assistants to perform geospatial operations and transformations.

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What's in it

Data offered docs-verified: vector geometry operations (Shapely, GeoPandas) · coordinate transformations and CRS reprojection (PyProj) · raster processing (Rasterio) · spatial statistics (PySAL) · visualization · satellite imagery · climate data · ecology data · movement data · land-cover data
Coverage llm-inferred: Global
Formats docs-verified: MCP HTTP/SSE · MCP stdio
Access llm-inferred: Free, open-source; MIT licence per catalogue metadata; no credentials documented for core tools (Google Cloud Storage backend needs credentials)

Useful for

Use cases llm-inferred: Catchment area and centroid calculation from boundary files (read_file_gpd, get_area, get_centroid) for FRA or drainage baselines · Reproject site boundaries and survey points to British National Grid (EPSG:27700) before overlay (project_geometry, reproject_raster) · Zonal statistics of DEM or rainfall rasters within catchment polygons (zonal_statistics) for drainage or flood-risk inputs · Clip and overlay habitat or constraint layers with site boundaries (clip_vector, overlay_gpd) for BNG baseline mapping
Audience llm-inferred: GIS analysts · hydrologists · flood consultants · drainage engineers · ecologists

Limitations

Constraints llm-inferred: Version 0.15.0 is beta, so the API may change · Requires Python 3.10 or higher · Google Cloud Storage backend needs the gis-mcp[gcp] extra plus credentials and IAM setup · Docs do not describe per-tool inputs, outputs, or CRS and resolution behaviour · Catalogue tool list has 59 tools with none for climate, ecology, movement or boundary data, although the docs claim 92+ tools that include those categories; confirm which tools ship · No UK-specific datasets (e.g. EA gauges, OS, DEFRA) are listed; coverage is generic GIS tooling · Data-gathering categories depend on external sources whose availability and rate limits are not documented

Licence: MIT
Authentication: No credentials documented in README
GitHub stars: 197
Last commit: 21/08/2026
Last successful page check: 14/10/2026
Page health: healthy
Package: pypi:gis-mcp[gcp]
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