A real-time weather query server based on the HelloAgents framework that provides weather data for major Chinese cities and global locations via the wttr.in API. It allows users to retrieve temperature, humidity, and atmospheric conditions without requiring an API key.
Enables users to get real-time weather data for any city and generate broadcast-style weather news reports. Uses the OpenMeteo API to provide current weather conditions including temperature, humidity, and weather descriptions.
Enables users to get real-time weather alerts for US states and echo messages through both MCP server tools and a modern web interface. Provides weather information access with multiple deployment options for different use cases.
Enables real-time weather queries for 12 major Chinese cities and global locations using the wttr.in API. Built on the HelloAgents framework with no API key required.
Provides current weather information and forecasts for major cities through MCP tools and resources. Supports getting weather data, multi-day forecasts, and listing available cities with mock data for demonstration purposes.
A Model Context Protocol server that interfaces with OpenWeatherMap API to provide real-time weather information and forecasts for cities worldwide.
Retrieves current weather information for any location using the OpenWeatherMap API with configurable temperature units (Celsius or Fahrenheit).
Enables LLMs to retrieve 24-hour weather forecasts and city information through natural language queries using city names or coordinates.
Provides real-time weather information and forecasts, connecting AI assistants with live weather data for current conditions and multi-day forecasts for any location worldwide.
Provides weather forecasts and active alerts for US locations using the National Weather Service API. It supports both local stdio and remote HTTP/SSE transport modes for flexible integration with MCP clients.
Provides weather information tools including alerts for US states and forecasts by coordinates using the National Weather Service API. Uses streamable HTTP transport for scalable, multi-session connections.
全面解析Weather MCP ServerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Weather MCP Server能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。
安装状态
已补齐
命令预览
pip install mcp httpx
A Model Context Protocol server that enables users to fetch weather forecasts through Cursor AI by using natural language queries.
Provides real-time US weather alerts and forecasts by integrating with the National Weather Service API. It enables AI assistants to fetch state-specific alerts and detailed local forecasts using geographic coordinates.
Provides current weather conditions, multi-day forecasts, and location search capabilities through integration with weather APIs, enabling natural language weather queries and comparisons.
Enables querying real-time weather and 5-day forecasts for any city using the OpenWeatherMap API.
Enables users to get weather forecasts and alerts for any US city and state through natural language queries using the National Weather Service API.
Enables fetching current temperature for any city using the Open-Meteo API, requiring no API key.
Provides weather information through OpenWeather API, enabling users to get current weather conditions, 5-day forecasts, and perform temperature conversions for any city. Offers a secure interface for AI assistants to access comprehensive weather data including temperature, humidity, wind, and pressure information.
Provides current weather conditions and 5-day forecasts for any location using the OpenWeatherMap API. Supports flexible location queries including city names, coordinates, and zip codes.
