MCP
Read-only access to a self-hosted GeoLens geospatial catalog: dataset search, schemas, GeoJSON features, saved maps and sandboxed SQL over PostGIS.
Install
The installation steps are in the documentation below. Documentation
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
geolens-mcp
Apache-2.0 read-only Model Context Protocol server for GeoLens.
Point a coding agent (Claude Code, Cursor, Codex, …) at a GeoLens instance so it can discover datasets, inspect schemas, read features and maps, and run read-only SQL from inside a dev session. It has no write, ingest or admin tools, and every call is scoped to the caller's access.
Install
pip install geolens-mcp # or: uvx geolens-mcpThe server reads GEOLENS_INSTANCE and, for non-public data, GEOLENS_API_KEY from the environment. Client setup, the tool list and the credential rules are in the MCP guide.
Develop
cd mcp
uv run --extra dev python -m pytest -vFrequently asked questions
What is MCP?
Read-only access to a self-hosted GeoLens geospatial catalog: dataset search, schemas, GeoJSON features, saved maps and sandboxed SQL over PostGIS.
How do I install MCP?
Follow the installation steps in its documentation, shown on this page and in its repository.
Is MCP open source?
Yes. Its code is on GitHub under the Apache-2.0 license.
Who maintains MCP?
It is published by geolens-io. AI.tn lists it but does not maintain or endorse it.
From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.