A JupyterLab extension for interactive geospatial data exploration via STAC catalogs and MCP-powered queries.
Project description
jupyter-geoagent
A JupyterLab extension for interactive geospatial data exploration via STAC catalogs and MCP-powered queries.
Click GeoAgent Map in the JupyterLab launcher to open a GUI-driven map explorer — no code required. Browse STAC catalogs, add layers, style and filter data, run DuckDB spatial queries, and export reproducible artifacts.
Features
- STAC catalog browser — enter a catalog URL, browse collections, add layers to the map
- MapLibre GL JS map — interactive map with multiple basemaps, zoom, pan, rotate
- Layer management — toggle visibility, remove layers
- MCP query interface — run SQL queries against parquet data via a remote DuckDB server
- Reproducible exports — export as static HTML map, geo-agent
layers-input.json, or a tool call log
Install
pip install jupyter-geoagent
Development
# Clone and install in dev mode
pip install --editable . --group dev --group test --group docs
# Link the extension for development
jupyter labextension develop --overwrite .
# Watch for changes (in two terminals)
jlpm watch:src
jupyter lab --no-browser
Documentation
- User guide: how to use the extension day-to-day. Published at https://jupyter-geoagent.readthedocs.io/ or read the source at docs/usage.md.
- Design specification: architecture and module reuse reference for contributors at docs/design.md.
Contributing
Contributions are welcome! See CONTRIBUTING.md for development setup and the pull request process. By participating you agree to abide by our Code of Conduct.
Citation
If you use jupyter-geoagent in your work, please cite it. Citation metadata is
available in CITATION.cff, and GitHub's "Cite this repository"
button renders it in APA and BibTeX. Archived releases are available on Zenodo.
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