Integrates real-time Malaysian weather forecasts with AI assistants through a local MCP server.
Sponsored
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.
主要功能
01Real-time weather data fetched every 15 minutes
027-day weather forecasts for multiple Malaysian locations
03Optimized MySQL database with automatic record cleanup
04AI-friendly structured data for seamless integration
05Optional Telegram alerts for scheduler error notifications
060 GitHub stars
使用案例
01Integrate real-time Malaysian weather into AI assistants like Claude Desktop, Cursor, or Cline
02Enable AI assistants to answer natural language queries about current and future Malaysian weather
03Develop AI applications that require up-to-date Malaysian weather data for contextual awareness
