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Spatial-Workbench

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Data offered docs-verified: random point generation · buffers · grouping by distance · export to GeoJSON · AI-generated field values · text-to-numeric conversion
Formats llm-inferred: GeoJSON · CSV · XLSX · MCP stdio
Access docs-verified: MIT licence. No credentials needed to use the spatial tools; AI routes need OPENROUTER_API_KEY or OPENAI_API_KEY.

Use cases llm-inferred: Buffer a site boundary or watercourse to screen stand-off distances in early option appraisal · Generate random sample points within a study area for survey-location layout concepts · Export GeoJSON layers for handover into a GIS or CAD/BIM check · Run quick coordinate sanity checks on imported site data before formal GIS processing
Audience llm-inferred: GIS analysts · GIS developers · developers building agent spatial workflows

Constraints docs-verified: Results are for lightweight analysis, not engineering, cadastral or survey-grade measurement · The hosted API is bounded for lightweight analysis and is not a general-purpose GIS processing cluster · Spatial join, clip/intersect, geocode/enrich and suitability workflows are planned, not current · The docs describe no UK-specific datasets or coverage

Licence: MIT
Authentication: API key via env: OPENAI_API_KEY, OPENROUTER_API_KEY (auto-extracted from README)
GitHub stars: 3
Last commit: 15/10/2026
Last successful page check: 14/10/2026
Page health: healthy
Package: Not recorded
Verification: Not independently verified

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

Daily discovery 2026-10-15: GitHub search; verified via GitHub API. Tools/install/auth auto-extracted from README.

Metadata observed 14/10/2026 · daily-2026-10-15 (github-search)