geolens-io/geolens
by Various
Self-hosted geospatial data catalog with semantic search (pgvector), OGC/STAC APIs, and map builder. Built on FastAPI, PostGIS, React, and MapLibre.
MCP
geolens-io/geolens
Added 3 Sept 2026
Overview
Self-hosted geospatial data catalog that indexes datasets with semantic search via pgvector and exposes them through OGC and STAC APIs. Includes a map builder and is built on FastAPI, PostGIS, React, and MapLibre. Written in Python.
Best for
Best for
Teams wanting a self-hosted, standards-compliant geospatial catalog with semantic search
Use cases
- Catalog geospatial datasets with semantic search
- Serve OGC/STAC-compliant APIs for GIS clients
- Build interactive maps from cataloged data
How to use
Install
pip install geolens # Python SDK Tested with
ChatGPT
Notes
Self-hosted geospatial data catalog that indexes datasets with semantic search via pgvector and exposes them through OGC and STAC APIs. Includes a map builder and is built on FastAPI, PostGIS, React, and MapLibre. Written in Python.
217 stars on GitHub. Last updated 2026-09-03. Licensed Apache-2.0.
Use cases
- Catalog geospatial datasets with semantic search
- Serve OGC/STAC-compliant APIs for GIS clients
- Build interactive maps from cataloged data
Pros
- Standards-based (OGC/STAC) for interoperability
- Combines semantic search with geospatial indexing
- Self-hosted, full control over data and deployment
Cons
- Small project community (217 stars) may limit support
- Requires setup and maintenance of PostGIS and pgvector
- User interface maturity likely limited compared to commercial platforms
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Standards-based (OGC/STAC) for interoperability
- Combines semantic search with geospatial indexing
- Self-hosted, full control over data and deployment
Cons
- Small project community (217 stars) may limit support
- Requires setup and maintenance of PostGIS and pgvector
- User interface maturity likely limited compared to commercial platforms
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