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open-meteo-mcp
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open-meteo-mcp

Active·★ 72·MIT·Updated 2026-10-21

Open-Meteo MCP Server is a comprehensive tool that integrates Open-Meteo weather APIs with Large Language Models, enabling AI assistants to access a wide range of meteorological data. It supports various weather models, historical data, air quality, and advanced forecasts, deployable via npm or Docker.

#MCP#LLM#Weather API#Forecasting#Open-Meteo#Node.js#Docker
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#Geocoding
$ Install
$ npm install -g open-meteo-mcp-server
↗ Visit site★ GitHub
01

Features

01Access to diverse Open-Meteo APIs (forecast, archive, air quality, marine, elevation, geocoding).
02Support for specialized global and regional weather models (DWD ICON, NOAA GFS, ECMWF, etc.).
03Advanced forecasting capabilities including flood, seasonal, ensemble, and climate projections.
04Designed for seamless integration with Large Language Models via Model Context Protocol (MCP).
02

Compatibility

Node.js
Runtime
Verified via docs
Docker
Deployment
Verified via docs
03

Quick start

1
$ npm install -g open-meteo-mcp-server
04

Use cases

↳Retrieving current or future weather forecasts for any location.
↳Accessing historical weather data for specific periods and regions.
↳Monitoring air quality, marine conditions, and flood risks.
↳Obtaining long-range seasonal forecasts and climate change projections.
↳Integrating weather data into LLM applications for context-aware responses.
05

Alternatives

⚡Top VS:
VScaldav-mcp★103→VSonetool-mcp★24→VSappstore-connect-mcp★52→

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cmer81 /
open-meteo-mcp
↗

A comprehensive MCP server providing access to Open-Meteo weather APIs for Large Language Models

72MIT
Last commit2d ago
StatusActive
CategoryAPI Integration
Links
Documentation↗Discussion↗Issues↗Releases↗
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