This tool functions as a Model Context Protocol (MCP) server, designed to provide comprehensive weather information to Large Language Models (LLMs). It leverages the Open-Meteo API for accurate, up-to-date weather data, including current conditions and 7-day forecasts. The server automatically handles geocoding, converting city names (supporting both English and Chinese) into geographical coordinates. By exposing a 'get_weather' tool, it enables LLMs to fetch detailed weather metrics such as temperature, wind, humidity, precipitation, sunrise/sunset times, and comfort assessments, empowering conversational AI with robust environmental context.