"The most widely used models" matching MCP servers:

Enables AI models to access Swiss weather and climate data from MeteoSwiss, including current observations, forecasts, and warnings.

Enables language models to fetch weather forecasts for Israeli cities by automating a real browser with Playwright to interact with weather2day.co.il, including entering a city, selecting it from autocomplete, and extracting the forecast content.

Provides current weather and forecast data for any city via OpenWeatherMap. Can be used with Ollama or Claude Desktop for natural-language weather queries.

Provides comprehensive access to Open-Meteo APIs for weather forecasts, historical data, air quality, and marine conditions. It enables LLMs to query specialized meteorological models, perform geocoding, and access advanced climate or flood projections.

A simple server that implements the Model Context Protocol, allowing AI models like Claude to fetch real-time weather information for any location using the wttr.in API.

Provides a Model Context Protocol server that enables large language models to query and retrieve real-time weather forecasts for cities and regions across China.

A demonstration project for Model Context Protocol (MCP) that integrates weather services with multiple AI models (Claude, GPT, Gemini), enabling natural language queries for weather alerts and forecasts.

Provides weather information for the United States through the Model Context Protocol. Enables users to query current weather conditions and forecasts for US locations.

A Python-based MCP server that predicts tomorrow's weather. It can be used remotely via uvx or locally with uv.

A customizable Model Context Protocol server implementation that enables AI models to interact with external tools including weather queries, Google search, and camera control functionality.

Provides real-time weather information and multi-day forecasts using the Open-Meteo API through a robust, enterprise-grade architecture. It enables AI assistants to retrieve current conditions, 7-day forecasts, and contextual weather data for any location.

Adapts the HeFeng QWeather MCP server for ModelScope cloud hosting, allowing weather queries through stdio or HTTP with a default stdio entry.

A basic MCP server implementing a weather tool using Next.js and the Vercel MCP adapter.

Provides weather data integration using the OpenWeatherMap API, enabling users to fetch current weather conditions, hourly and daily forecasts, weather alerts, and geocoding services for any location worldwide.

Provides real-time weather data and current conditions for major Chinese cities and global locations using the wttr.in API. This HelloAgents-based server enables querying of temperature, humidity, and weather status without requiring an external API key.

A monorepo for learning the Model Context Protocol with TypeScript, featuring example MCP servers for weather data and tax calculation.

A Model Context Protocol server that enables AI models to fetch weather alerts and detailed forecasts for US locations using the National Weather Service API.

Provides weather alerts and forecasts for US locations using the National Weather Service API.

Provides real-time weather queries for 12 major Chinese cities (plus global English city support) using the wttr.in API. Built on the HelloAgents framework, it exposes tools to get current weather, list supported cities, and get server info.

Get US weather forecasts, active alerts, and current observations via the National Weather Service API.