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Real-time weather conditions and multi-day forecasts via Open-Meteo — free, no API key required
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Real-time weather conditions and multi-day forecasts via Open-Meteo — free, no API key required
Remote endpoints: streamable-http: https://gateway.pipeworx.io/weather/mcp
Security Report
Valid MCP server (1 strong, 0 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
2 tools verified · Open access · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-pipeworx-io-weather": {
"url": "https://gateway.pipeworx.io/weather/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Weather — Current Conditions and Forecast
Current weather and 7–10 day forecast for any location. Backed by Open-Meteo (https://open-meteo.com), a free aggregator of national meteorological agency data (NOAA in the US, DWD in Germany, etc.). Returns temperature, humidity, wind, precipitation, conditions. Free, no auth, no API key.
Part of Pipeworx — an MCP gateway connecting AI agents to 1394+ live data sources.
Why this matters for AI agents
Weather is one of those things agents need to know about constantly — for travel planning, agricultural questions, energy demand context, event planning, real estate ("is this market in a flood zone with active flooding?"). Open-Meteo is the right backend: free, accurate, global coverage, no key gymnastics.
Common flows:
- Current conditions. "Weather in Tokyo right now" →
get_weather({location: "Tokyo"})→ temp, humidity, wind, conditions. - Forecast. "7-day forecast for Denver" →
get_forecast({location: "Denver"})→ daily highs/lows, precipitation chance. - By coordinates.
get_weather({latitude: 39.74, longitude: -104.99})for places that don't geocode well by name.
Auth
None. Open-Meteo is free and unauthenticated. Generous fair-use limits (~10,000 requests/day per IP). Pipeworx caches per-location for short windows so repeated calls don't burn your daily quota.
Geocoding
The location parameter accepts:
- City names (
"Tokyo","London","Denver") - City + country (
"Paris, France"to disambiguate from Paris, TX) - ZIP/postal codes (
"94070"for US,"SW1A 1AA"for UK) - Coordinates as a separate
latitude+longitudeargument
For ambiguous names, the tool returns a disambiguation hint. For weird locations or precision-sensitive queries (offshore, remote), pass coordinates directly.
Update cadence
| Data | Refresh |
|---|---|
| Current conditions | ~10 minutes |
| Hourly forecast (next 24h) | Every 1–3 hours |
| Daily forecast (1–10 days) | Every 6 hours |
Pipeworx caches with a 10-minute TTL so repeated calls within that window are cheap.
Common pitfalls
- Time zones. Forecast hours are in UTC by default. The tool also returns the location's timezone — convert client-side when displaying to users.
- Precipitation probability vs. amount. "70% chance of rain" and "0.4 inches expected" are different fields. For agricultural and travel use, both matter; report both.
- Forecast accuracy degrades by day. Day 1 is reliable; day 7+ is "directional weather signal." Don't quote 10-day forecasts as confident predictions.
- Severe weather events. Open-Meteo has hazard fields but they're less reliable than NWS active alerts for the US. For severe weather agents, layer NOAA NWS API on top.
- Historical weather. Default tools are present + future. For historical data (yesterday and back), Open-Meteo has separate endpoints — let the team know via pipeworx_feedback if that's needed.
Quick Start
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"weather": {
"url": "https://gateway.pipeworx.io/weather/mcp"
}
}
}
Or connect to the full Pipeworx gateway for access to all 1394+ data sources:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}
Using with ask_pipeworx
Instead of calling tools directly, you can ask questions in plain English:
ask_pipeworx({ question: "your question about Weather data" })
The gateway picks the right tool and fills the arguments automatically.
More
License
MIT
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