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citysense

CitySense is an open-source Python library that bridges geospatial urban data with large language model (LLM) toolchains.

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Data offered docs-verified: OpenStreetMap data · Mapillary imagery · Sentinel-2 imagery
Coverage docs-verified: Pilot countries: Azerbaijan, Finland, Sweden, Denmark, Norway
Formats docs-verified: Python package (PyPI)
Access llm-inferred: Open source under EUPL-1.2; API credentials required per ENTRY metadata (CDSE client ID/secret, Mapillary access token)

Use cases llm-inferred: Urban baseline assembly from OpenStreetMap and Sentinel-2 for a site appraisal · Street-level imagery review of existing highway or drainage assets via Mapillary · LLM-assisted querying of geospatial urban datasets for desk-study reporting
Audience llm-inferred: GIS analysts · civils/BIM engineers · planners

Constraints llm-inferred: ENTRY metadata lists no tools, so MCP tool names cannot be documented · DOCS describe a Python toolkit; MCP transport is not stated · Pilot-country focus in DOCS; UK coverage is not stated · Requires Copernicus CDSE and Mapillary credentials per ENTRY metadata · DOCS state no data resolution, update cadence or time span

Licence: EUPL-1.2
Authentication: API key via env: CDSE_CLIENT_ID, CDSE_CLIENT_SECRET, MAPILLARY_ACCESS_TOKEN (auto-extracted from README)
GitHub stars: 12
Last commit: 01/08/2026
Last successful page check: 14/10/2026
Page health: healthy
Package: pypi:citysense
Verification: Not independently verified

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

Geospatial deep dive (Glama/Smithery/GitHub). Tools/install/auth auto-extracted from README.

Metadata observed 16/10/2026 · research sweep: geo-deep-dive (geo-deep-dive:github-search-geo)