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This project provides a robust, production-ready MCP (Model Context Protocol) server designed to deliver real-time Malaysian weather forecasts to any MCP-compatible AI assistant. By fetching live data from MET Malaysia's API and storing it efficiently in a local MySQL database, it enables users to seamlessly query current conditions and future forecasts for various Malaysian locations using natural language. This local server architecture ensures privacy and self-sufficiency, making AI assistants more powerful by giving them up-to-date environmental context for informed responses and recommendations.