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 1476+ 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 + longitude argument

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"
    }
  }
}

What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/weather/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.

Using with ask_pipeworx

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 Weather data" })

The gateway picks the right tool and fills the arguments automatically.

More

• Docs and guides
• pipeworx.io

License

MIT