mcp-open-meteo

mcp-open-meteo

This MCP server provides access to Open-Meteo weather APIs including forecast, historical reanalysis, geocoding, air quality, marine weather, and flood risk data, enabling AI agents to retrieve weather information using natural language.

Category
Visit Server

README

mcp-open-meteo

Open-Meteo MCP — weather forecast + historical reanalysis + sister APIs

Part of Pipeworx — an MCP gateway connecting AI agents to 1346+ live data sources.

Tools

Tool Description
forecast "What's the weather in [city]" / "weather forecast for [location]" / "will it rain tomorrow", "rain chance / probability this week" / "temperature in [place] this week" / "wind / precipitation / humidity forecast" — global weather forecast up to 16 days ahead, hourly or daily, at any lat/lng. Returns temperature, precipitation, wind, humidity, cloud cover, weather codes by default; pass hourly/daily arg for custom variables. Free, keyless, no signup (Open-Meteo / ECMWF + national weather services). Pair with geocode to convert "Paris" → lat/lng first.
historical "What was the weather on [date]" / "historical weather for [location]" / "temperature in [city] last summer" / "rainfall during [period]" / "past weather data" — ERA5 reanalysis covering 1940-present at any global lat/lng. Returns hourly or daily temperature, precipitation, wind, humidity etc. for any date range. Use for climate analysis, retrospective event weather, or training data.
geocode "What are the coordinates of [city]" / "lat lng for [place]" / "find [town] location" — resolve a place name (city, village, region) to lat/lng so the other Open-Meteo tools can use them. Free, keyless, multilingual; returns up to 100 matches ranked by population. Use before forecast / historical / air_quality / marine / flood when you only have a place name.
air_quality "Air quality / AQI in [city]" / "is the air safe to breathe in [location]" / "pollution levels for [place]" / "smoke / smog / wildfire-smoke forecast" / "pollen forecast" — global air quality and pollen forecast at any lat/lng. Returns PM2.5, PM10, ozone (O3), NO2, SO2, CO, dust, and pollen (alder/birch/grass/mugwort/olive/ragweed) up to 5 days ahead, plus European AQI / US AQI. Free, keyless.
marine "Wave / swell / surf forecast for [beach]" / "sea conditions in [bay]" / "wave height at [coordinates]" / "is it safe to sail" — global marine weather forecast (wave height, wave period, wave direction, wind waves, swell waves) at any ocean lat/lng. Free, keyless. Use for surf reports, sailing prep, fishing conditions, coastal planning.
flood "Flood risk for [river]" / "river discharge forecast" / "will [river] flood" / "water levels at [location]" — daily river discharge forecast from the GloFAS global flood model. Returns predicted m³/s discharge up to 30 days ahead for any river-bearing lat/lng worldwide. Use for flood risk assessment, agriculture planning, hydrology research.

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "open-meteo": {
      "url": "https://gateway.pipeworx.io/open-meteo/mcp"
    }
  }
}

Or connect to the full Pipeworx gateway for access to all 1346+ 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 Open Meteo data" })

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

More

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured