Provides a lightweight and modular server to fetch, process, and serve real-time weather data from APIs.
This project offers a Python-built Weather Model Context Protocol (MCP) server, designed for efficient fetching, processing, and serving of real-time weather information. It integrates with external APIs like OpenWeatherMap to provide current, forecast, and historical weather data. The server is structured as a FastMCP instance, exposing a single tool to retrieve weather details by geographical coordinates or location names, making it an ideal backend for IoT systems, dynamic dashboards, and various automation workflows requiring reliable weather insights.