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mcp · Switzerland

foehn

Download MeteoSwiss Open Government Data — weather stations, radar, hail, forecasts and climate series — via Python API, CLI, or MCP server, as DataFrames, Parquet, xarray Datasets or Zarr stores

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What's in it

Data offered docs-verified
weather station data (CSV/TXT converted to Parquet) · radar composites (ODIM/HDF5) · hail maps · forecasts (GRIB2, ICON-CH1/CH2, KENDA) · climate grids, normals and scenarios (NetCDF)
Coverage docs-verified
Switzerland (MeteoSwiss Open Data)
Formats docs-verified
Polars DataFrame · Parquet · xarray Dataset · Zarr · CSV/TXT (input) · NetCDF · GRIB2 · HDF5/ODIM
Access docs-verified
Free/open: software is MIT-licensed; underlying data is MeteoSwiss open data; no credentials documented

Useful for

Use cases llm-inferred
Swiss station rainfall and temperature series for a project-site climate baseline · Radar precipitation composites for storm event reconstruction in Swiss catchments · NetCDF climate scenario grids for future rainfall sensitivity checks on Swiss projects · GRIB2 forecast fields for short-term weather context on Swiss site works
Audience llm-inferred
hydrologists · flood consultants · drainage engineers · GIS analysts · climate data analysts

Limitations

Constraints llm-inferred
Covers MeteoSwiss (Switzerland) data only; no UK coverage · Requires Python 3.11 or later · Gridded data (xarray/Zarr) needs the optional grids extra · Spark/Databricks ingestion is optional and not needed for local use · MCP tool names are not listed in the provided docs · Source data update frequency is not stated
Licence
MIT
Authentication
No credentials documented in README
GitHub stars
44
Last commit
15/10/2026
Last successful page check
14/10/2026
Page health
healthy
Package
pypi:foehn
Verification
Not independently verified

Provenance & evidence

Tools/install/auth auto-extracted from README; quality score heuristic (stars, recency, tool count, licence).

Metadata observed 16/10/2026 · research sweep: github-search