Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"foehn": {
"args": [
"mcp"
],
"command": "foehn"
}
}
}Are you the author?
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foehn downloads every MeteoSwiss OGD collection via the STAC API, converts CSV/TXT to Parquet with Polars, and optionally ingests everything into Databricks Unity Catalog Delta tables on a daily schedule. It also ships an MCP server so LLMs can query Swiss weather data directly.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
uvx 'foehn' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
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No known CVEs.
Checked foehn against OSV.dev.
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MeteoSwiss Open Data — Python API, CLI, MCP server, Parquet & Delta tables
foehn downloads every MeteoSwiss OGD collection via the STAC API, converts CSV/TXT to Parquet with Polars, and optionally ingests everything into Databricks Unity Catalog Delta tables on a daily schedule. It also ships an MCP server so LLMs can query Swiss weather data directly.
Daily weather in Bern, powered by foehn's MCP server and MeteoSwiss open data.
_last_run.jsonpip install foehn
foehn download
Recent data (Jan 1 to yesterday) is downloaded and converted to Parquet under ./data/meteoswiss/.
From PyPI:
pip install foehn
From source:
git clone https://github.com/kayhendriksen/foehn
cd foehn
pip install -e .
With extras:
pip install "foehn[databricks]" # PySpark + Delta
pip install "foehn[mcp]" # MCP server
pip install "foehn[grids]" # xarray + Zarr for all gridded data (NetCDF, GRIB2, radar)
Requires Python 3.11 or later.
import foehn
df = foehn.load("smn", station="BER", frequency="d")
Load data directly into Polars DataFrames, explore metadata, download to disk, and convert to Parquet — all from Python. See the full Python API documentation.
foehn download smn pollen
foehn load smn --station BER --frequency d
The CLI mirrors the Python API with subcommands for downloading, converting, loading, and inspecting metadata. See the full CLI documentation.
ds = foehn.open_dataset("surface_derived_grid", match="rhiresd") # NetCDF climate grid
ds = foehn.open_dataset("forecast_icon_ch1", match="202605231500-0-t_2m-ctrl") # one GRIB2 field
ds = foehn.open_dataset("radar_precip", match="cpc2613000000") # one radar composite
fo
... [View full README on GitHub](https://github.com/kayhendriksen/foehn#readme)