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Weather

Provides real-time and forecast weather information through a Model Context Protocol server, integrating with the OpenWeatherMap API.

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Extends AI assistant capabilities by providing real-time and forecast weather data through a Model Context Protocol (MCP) server. This server leverages the OpenWeatherMap API to deliver current conditions and multi-day forecasts for any global city via a standardized MCP interface, enabling AI assistants to respond to weather-related queries. It demonstrates how to create and use MCP servers to integrate external data sources into AI systems.

Características Principales

  • 0 GitHub stars
  • Facilitates easy deployment and scaling with comprehensive Docker support
  • Offers secure access with OAuth 2.0 Bearer Token authentication for HTTP modes
  • Delivers current weather data and up to 15-day forecasts for any city worldwide
  • Includes robust error handling and logging for reliable operation
  • Supports multiple transport modes including stdio, streamable-http, and SSE

Casos de Uso

  • Demonstrating the implementation and utility of Model Context Protocol (MCP) servers
  • Enhancing AI assistants and chatbots with real-time weather information
  • Providing secure and standardized weather data access for various client applications