
Wraps the Open-Meteo API and its sister services for weather, climate, and environmental data. Gives you six tools: weather forecasts up to 16 days out, ERA5 historical reanalysis back to 1940, geocoding for place names, air quality indices including particulates and pollen, marine wave forecasts, and GloFAS river discharge predictions. Hosted as a streamable HTTP endpoint through Pipeworx's gateway, so no local setup. Useful when you need reliable weather data in an agent workflow without managing API keys or parsing forecast formats yourself.
Open-Meteo MCP — global weather forecasts + historical reanalysis. No auth (non-commercial fair-use only).
Part of Pipeworx — an MCP gateway connecting AI agents to 1476+ live data sources.
forecast(latitude, longitude, hourly?, daily?, forecast_days?, timezone?) — up to 16-day forecasthistorical(latitude, longitude, start_date, end_date, hourly?, daily?) — ERA5 reanalysis 1940→geocode(name, count?, language?) — place-name → coordinatesair_quality(latitude, longitude, hourly?) — global PM/O3/NO2 forecastmarine(latitude, longitude, hourly?) — wave height + periodflood(latitude, longitude, daily?) — river discharge forecast (GloFAS)https://api.open-meteo.com/v1/ and friends — public, no auth. Fair-use limit 10k req/day per IP.
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"open-meteo": {
"url": "https://gateway.pipeworx.io/open-meteo/mcp"
}
}
}
tools/list at https://gateway.pipeworx.io/open-meteo/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 Open Meteo data" })
The gateway picks the right tool and fills the arguments automatically.
MIT