
Pulls historical weather data from the Meteostat network, which covers over 11,000 weather stations worldwide. No authentication required, making it dead simple to add weather context to your AI workflows. Part of the Pipeworx gateway ecosystem, so you can either connect directly to this Meteostat endpoint or use the full gateway for access to 250+ data sources. The ask_pipeworx interface lets you query in plain English instead of calling tools directly, which is handy when you're prototyping or don't want to dig into specific parameters. Useful for adding location based weather history to analytics, content generation, or any application where past climate conditions matter.
Meteostat MCP — historical weather from 11,000+ stations, no auth.
Part of Pipeworx — an MCP gateway connecting AI agents to 1476+ live data sources.
get_daily_history(station_id, start_date, end_date) — daily readings.get_monthly_normals(station_id) — long-run monthly climate normals.The Meteostat free public tier doesn't expose a search API. Find IDs interactively at https://meteostat.net — search a place, the URL's numeric suffix is the station ID. Example: San Francisco Intl → 72494.
For programmatic search, use Meteostat's RapidAPI plan (BYO key) or pair with nws.get_observation (US stations via ICAO).
https://bulk.meteostat.net/v2/ — public gzipped CSV bulk files. No key, no quota stated.
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"meteostat": {
"url": "https://gateway.pipeworx.io/meteostat/mcp"
}
}
}
tools/list at https://gateway.pipeworx.io/meteostat/mcp returns the tools in the table
above plus the shared Pipeworx meta-tools — ask_pipeworx,
discover_tools, search_within, remember/recall and the rest of the
gateway-wide set. So the tool count you see is larger than this table: a
single-pack endpoint currently lists roughly 30 shared tools alongside the
pack's own. The connection's initialize response states its exact scope, and
is the authoritative answer for a given day.
This is deliberate, not multiplexing by accident. The meta-tools are what let a
scoped connection answer a question this pack does not cover — via
ask_pipeworx, which routes across the whole catalog — without you adding a
second MCP server. There is currently no way to mount a pack endpoint without
them; if the extra schemas cost you more context than the routing is worth,
connect to the full gateway once rather than to several pack endpoints.
Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}
Both URLs reach the same gateway and the same 1476+ data sources. The
only difference is which pack's tools are listed directly; ask_pipeworx
reaches all of them from either one.
Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:
ask_pipeworx({ question: "your question about Meteostat data" })
The gateway picks the right tool and fills the arguments automatically.
MIT