Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@mcp-meteostat What's the historical average temperature in Tokyo in March?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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 |
Related MCP server: WeatherXM Pro MCP Server
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
This server cannot be installed
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
Weather data, forecast API, climate data, historical weather, alerts, agricultural & travel weather.
Global weather API: forecasts, historical data, marine, ski, astronomy and timezone.
Search NOAA climate stations and datasets, fetch historical weather observations.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/pipeworx-io/mcp-meteostat'
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