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 11k+ stations (no auth)
Part of Pipeworx — an MCP gateway connecting AI agents to 884+ live data sources.
| Tool | Description |
|---|
Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):
{
"mcpServers": {
"meteostat": {
"url": "https://gateway.pipeworx.io/meteostat/mcp"
}
}
}
Or connect to the full Pipeworx gateway for access to all 884+ data sources:
{
"mcpServers": {
"pipeworx": {
"url": "https://gateway.pipeworx.io/mcp"
}
}
}
Instead of calling tools directly, you can ask questions in plain English:
ask_pipeworx({ question: "your question about Meteostat data" })
The gateway picks the right tool and fills the arguments automatically.
MIT