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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

#cloud-optimized-geotiff #data-catalog #docker #fastapi #geojson #geospatial #gis #maplibre

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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