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deepseek_qgis_mcp
deepseek_qgis_mcp
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What's in it
- Data offered docs-verified
- QGIS project create, load and save · vector and raster layer add and remove · layer listing, zoom and feature retrieval · Processing algorithm execution · map rendering to image · arbitrary PyQGIS code execution
- Formats llm-inferred
- MCP stdio · QGIS project (.qgz) · vector layers · raster layers · GeoJSON · PNG
- Access llm-inferred
- Local install: QGIS plugin plus Python MCP server run with uv. No API key or OAuth. Licence not stated in ENTRY or DOCS.
Useful for
- Use cases llm-inferred
- Prompt-driven loading and styling of site or catchment layers into a QGIS project · Running Processing algorithms such as centroids on consultancy vector data · Rendering map figures for FRA or planning report appendices · Scripted PyQGIS attribute checks on shapefile or GeoPackage datasets
- Audience llm-inferred
- GIS analysts · flood consultants · drainage engineers · hydrologists · planners
Limitations
- Constraints llm-inferred
- Requires QGIS running locally with the plugin socket server started manually · Docs state QGIS 3.X but only tested on 3.22 · execute_code runs arbitrary Python and needs caution · DOCS describe jjsantos01/qgis_mcp, but ENTRY URL is the kicker315 fork, so behaviour may differ · No data coverage: this is a tool, not a dataset · Tool parameter schemas are not given in DOCS
- Licence
- Unknown — check provider terms
- Authentication
- Unknown — review source docs
- GitHub stars
- 7
- Last commit
- 25/03/2025
- Last successful page check
- 14/10/2026
- Page health
- healthy
- Package
- Not recorded
- Verification
- Not independently verified
Auto-extracted, unverified fields: tools, install, auth. Check upstream documentation.
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