Weather MCP Servers
Browse all MCP servers categorized under “Weather”. Find tools that match this tag's focus—be it a supported model, function, provider, or use case.
Showing 1-43 of 43 MCP servers
mcp-sse
by sidharthrajaram
The project showcases an SSE-based implementation for MCP servers and clients, focusing on weather forecasting tools utilizing the National Weather Service APIs. It highlights the advantages of decoupling server and client processes for cloud-native applications.
mcp-server-sample
by gabrielfroes
This project is an example of a Model Context Protocol (MCP) server created for educational purposes. It integrates weather-related tools using the National Weather Service API to fetch alerts and forecasts. The architecture applies domain-driven design principles.
mcp-caiyun-weather
by caiyunapp
The Caiyun Weather MCP Server provides a variety of weather-related tools to retrieve real-time, forecast, historical, and alert weather data. Users interact with the tools using APIs and must have a valid API token for access.
mcp-server-weather-js
by hideya
This is a Node.js server implementing the Model Context Protocol (MCP) to provide weather information for locations within the United States. It includes tools to fetch weather alerts and forecasts, and it's available as an npm package.
weather-mcp
by Zippland
The OpenWeather MCP Server provides global weather forecasts and current conditions via the MCP protocol. It supports querying weather anywhere in the world and provides details such as temperature and humidity. The server operates using an OpenWeatherMap API key.
Weather-MCP-ClaudeDesktop
by SaintDoresh
The Weather MCP Tool for Claude Desktop provides comprehensive weather data, including real-time conditions, forecasts, historical records, and air quality insights, using the OpenWeatherMap API. Its integration with Claude Desktop allows users to access a wide range of weather-related features directly from their desktop environment.
MCP_Server
by Abhinavexists
The project implements a command-line tool for accessing US weather data through a client-server architecture, utilizing the Model Context Protocol (MCP) and Google's Gemini AI. It allows for natural language queries to obtain weather alerts and forecasts via a Python client and server communicating with the National Weather Service API.
simple-mcp-server
by guog
Simple MCP Server is a demonstration project showcasing how to build a minimalistic MCP Server. It features weather query capabilities using AMap's weather API and integrates with DingTalk for group messaging. The project is designed to work with AI dialogue clients such as Cherry Studio.
roc-cwa-mcp
by stephen9412
This project provides a Model Context Protocol server that connects to the Taiwan Central Weather Administration API, offering weather data access for Taiwan. It features forecasts and historical rainfall data with automatic data processing.
weather-my-mcp
by yting27
The Weather MCP Server is a Model Context Protocol server designed to provide weather-related information using data from Malaysia's open data portal. It offers capabilities to fetch weather forecasts, flood warnings, and earthquake news.
mcp-server
by Sunilk240
The MCP Weather Service is an MCP server providing weather information and forecasts for Indian cities using WeatherAPI.com and a chat interface for natural language interaction. It allows users to access up-to-date weather details and forecasts easily.
mcp-server-weather
by prateekch
The project is a Model Context Protocol Server that uses the Open-Meteo API to provide weather information and forecasts. It integrates with the Claude Desktop application and allows users to request weather-related data for any location.
mcp-server
by dev-jpnobrega
This project is a Domain-Driven MCP server delivering real-time weather updates for Brazilian cities. It focuses on scalability and maintainability through SOLID principles and dependency injection.
MCP
by bittush8789
The Weather MCP Server is a tool for accessing weather data from the National Weather Service API, providing alerts and forecasts. It requires Python and specific libraries to function.
weather-mcp-server
by amit-singh-mobcoder
Provides a basic server to assist large language models.
weather-mcp-server
by aryankarn
The Weather CLI App is a tool for fetching weather alerts and forecasts using the National Weather Service API. It functions as an MCP server for integration with AI assistants, offering tools to get alerts by state and forecasts by location coordinates.
mcp_server
by avdivo
The project is a local MCP (Model Context Protocol) server providing intermediary services between AI models and internet service providers. It offers services like weather updates, news, and currency exchange rates through local deployment.
weather-mcp-server
by sirrupesh
Weather MCP Server is designed to provide real-time weather information and alerts using the NWS API. It offers an easy-to-use interface and can be easily deployed using Docker. The server allows users to obtain weather alerts and forecasts for specified locations in the U.S.
local-mcp
by MiguelAngelGutierrezMaya
This project implements the Model Context Protocol (MCP) using best practices, featuring tools like Node.js and TypeScript. It focuses on maintaining code quality with modern linting and formatting configurations and provides capabilities to query weather data.
weather-mcp-server
by snowan
Weather MCP Server is a modular and Dockerized server for fetching live weather data from OpenWeatherMap. It can be deployed on cloud platforms like Render or Heroku and is based on FastAPI.
weather-mcp
by vhxnif
The Weather MCP is a server project designed to facilitate real-time data streaming with an SSE server and command-based interactions through a Stdio server. It requires configuration for client connections.
mcp_server
by AdiGo22
The Model Context Protocol (MCP) is designed to facilitate secure connections between data sources and AI applications through a client-server architecture. It supports developers in exposing data via MCP servers and building AI-driven MCP clients.
mcp-weather-stdio-server
by xiaobo187
Simple MCP Server is a project that showcases how to build an MCP Server with minimal complexities. It enables weather information retrieval using the Amap Open Platform API and can be integrated with AI clients like Cherry Studio for enhanced interactive experiences.
mcp-server
by zusdn90
The project provides a Python-based MCP server example with key features such as BMI calculation and weather information retrieval. It demonstrates usage with sample functions and guides for running the server.
mcp-server-sample-main
by renanpk
This project is an educational MCP server implementation that integrates with external APIs to provide weather alerts and forecasts. It is designed with a layered architecture inspired by Domain-Driven Design principles.
mcp_server
by njk8
An implementation of weather mcp server that can be called by a clinet IDE like cursor.
unoff-qweather-mcp
by HongpengM
The Unofficial QWeather MCP is a tool designed to access QWeather API data, facilitating easy integration with AI applications. It's useful for retrieving comprehensive weather information, forecasts, and air quality data.
akaramanapp_weather-mcp-server
by MCP-Mirror
The Weather MCP Server is a Model Context Protocol server that delivers weather alerts and forecasts for US locations using the NWS API. It is designed for use by AI agents through the MCP and offers real-time weather data.
mcp-weather-server
by dbsxortime
MCP Weather Server delivers Korean weather data using the Korea Meteorological Administration API. It provides features such as current weather updates and various forecasts, using location data like latitude and longitude.
Hands-on-MCP
by ankitgmishra
The MCP US Weather Client/Server project provides a Model Context Protocol server that delivers weather alert information for US states using NWS API, along with a client application for interaction. It demonstrates the integration of MCP, `mcp_use` library, and Langchain, showing how to fetch and present weather data effectively.
floyd-mcp-server
by devopsjester
Floyd is an MCP server designed to provide up-to-date weather information and decide the safety of application deployment based on weather conditions. It integrates seamlessly with VS Code and supports interactions through natural language queries for user convenience.
quickstart_mcpserver_vibe_coding
by vgrund
The Quickstart MCP Server is designed to offer weather information through the National Weather Service API. It provides weather alerts for US states and forecasts for specific coordinates, making it a useful tool for weather monitoring in the United States.
mcp-weather-server
by thegr1ffyn
Provides weather data, likely for use within a larger system.