openweathermap-mcp-server

openweathermap-mcp-server

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cloud_platformsai_chatbot

OpenWeatherMap MCP Server is designed to deliver weather data from OpenWeatherMap API to AI models through a Model Context Protocol server. It features tools for weather queries and data caching, enhancing AI capabilities with real-time weather access.

OpenWeatherMap MCP Server

This project provides a Model Context Protocol (MCP) server connecting to the OpenWeatherMap API for weather data. It includes:

  • Features for retrieving current weather conditions and 5-day forecasts.
  • Querying weather by city or geographic coordinates.
  • Caching weather data in Redis for quick access and reduced API calls.
  • Supports SSE (Server-Sent Events) and Stdio transport for MCP communication.

Prerequisites

  • Node.js 18+, npm/yarn, Redis, OpenWeatherMap API key.

Tools

  1. get-current-weather: Fetches current weather for a city.
  2. get-weather-forecast: Provides a 5-day forecast for a city.
  3. get-weather-by-coordinates: Retrieves weather data by latitude and longitude.
  4. clear-weather-cache: Clears cached data.

Integration with AI Models

This server is designed for AI model interactions to provide real-time weather data access, forecasts, and location-specific weather information.