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QGIS2OllamaMCP

Model Context Protocol (MCP) that allows LLMs to use QGIS Desktop

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Data offered docs-verified: project and layer management (load, create, save, remove, zoom) · vector and raster layer loading · feature retrieval from vector layers · processing algorithm execution · map render to image · PyQGIS code execution
Formats docs-verified: MCP SSE
Access llm-inferred: Open source, GPL-3.0 (per ENTRY licence); no authentication listed; requires local QGIS 3.X Desktop, Ollama, and Python packages fastmcp, ollama, requests, lupa

Use cases llm-inferred: Chat-driven loading of catchment, site boundary and constraint layers into an open QGIS project for review · Running buffer or clip geoprocessing via execute_processing for site constraint screening · Rendering the current map view to an image for draft report figures or client markup
Audience llm-inferred: GIS analysts · drainage engineers · hydrologists · planners

Constraints llm-inferred: Requires QGIS Desktop running with the plugin server started manually (localhost:9876) before the MCP server can connect · Documented as tested only with QGIS 3.38 and ministral-3:latest; other versions and models are unverified · Needs a local Ollama model that supports agents and tool use · execute_code runs arbitrary PyQGIS code, so it needs careful handling in client work · Default ports are localhost only; no remote, multi-user or authentication setup is documented · Provides no datasets of its own; it controls QGIS, so data must already be available locally · No maintenance status, release cadence or beta status is stated in the docs

Auto-extracted, unverified fields: tools, auth. Check upstream documentation.

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

Metadata observed 15/10/2026 · research sweep: sparkgeo/geo-mcp-servers