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ArcGIS-Pro-MCP

ArcGIS Pro add-in that speaks the Model Context Protocol, so an AI assistant can drive your open project in plain language — 112 tools, every geoprocessing tool, and arbitrary arcpy.

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What's in it

Data offered docs-verified: layers · attributes · selections · symbology · layouts · rasters · editing
Formats docs-verified: MCP streamable HTTP
Access llm-inferred: Open source under AGPL-3.0 (per ENTRY licence); the add-in runs inside ArcGIS Pro and requires ArcGIS Pro 3.7; no credentials documented.

Useful for

Use cases llm-inferred: Find and repair broken layer sources across an open ArcGIS Pro project before issuing a report · Summarise attribute counts and statistics per category for a drainage or flood asset layer · Select features by location against a boundary layer and export the result for a planning or EIA report
Audience llm-inferred: GIS analysts · hydrologists · flood consultants · drainage engineers · ecologists

Limitations

Constraints llm-inferred: Requires ArcGIS Pro to be open; the MCP endpoint is served from inside Pro, so the client connection fails when Pro is closed · Requires ArcGIS Pro 3.7 or newer; will not load on older versions · Windows-only host environment (add-in and PowerShell bridge) · Arbitrary arcpy execution (execute_arcpy_code) needs an optional Python bridge inside ArcGIS Pro · Endpoints bound to 127.0.0.1, so not reachable from other machines · Tool parameter schemas are not published in the DOCS, so example arguments must be checked against the live server · Destructive tools (remove_map, delete_features, delete_field, update_features) are marked with a warning in DOCS

Licence: AGPL-3.0
Authentication: No credentials documented in README
GitHub stars: 27
Last commit: 06/09/2026
Last successful page check: 14/10/2026
Page health: healthy
Package: Not recorded
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