"Collaboration Between Multiple AIs via MCP (Master Control Program)" matching MCP servers:

Provides real-time weather forecasts for any global location using the UK Met Office DataHub API, with hourly, 3-hourly, and daily forecasts in Markdown or JSON.

MCP server for full control of Rachio sprinkler controllers via the reverse-engineered internal gRPC API, enabling schedule management, manual zone runs, rain delays, and weather data retrieval.

Enables natural language control of Homey Pro smart home systems, including devices, flows, zones, energy monitoring, weather, alarms, and system management, with 43 tools and troubleshooting prompts.

MCP server connecting AI models to SRG SSR public APIs – weather, TV/radio metadata, program guide and Swiss votations/elections since 1900.

Enables natural-language access to MET Norway weather forecasts, including hourly forecasts worldwide and place-name geocoding, via MCP tools.

Provides tools to query flight and train information including flight searches, train tickets, weather forecasts, and transfer options between different transportation modes.

A Model Context Protocol server that provides real-time weather information and 5-day forecasts to AI assistants, supporting multiple languages and flexible units.

Provides current weather data, multi-day forecasts, hourly forecasts, and city lookup functionality using the QWeather API. Supports customizable units, languages, and multiple location formats including coordinates and city IDs.

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.

A simple service using Model Context Protocol (MCP) to provide weather information for multiple cities including Fukuoka, Tokyo, Osaka, Moscow, and New York.

Enables automatic weather information retrieval through a custom MCP server integrated with OpenAI using Cloudflare tunnels. Demonstrates seamless function calling between OpenAI and custom MCP tools without manual intervention.

A simple demonstration project for the Model Control Protocol (MCP) server that provides tools for AI assistants to fetch news articles, perform calculations, retrieve weather data, and generate personalized greetings.

An MCP server that runs on AWS Lambda, enabling MCP clients like Claude Desktop to invoke tools such as weather forecasts via serverless infrastructure with OAuth authentication.

Enables AI agents to retrieve real-time weather conditions and 7-10 day forecasts for any location via Open-Meteo, with no API key required.

Provides real-time, historical, and forecasted weather data for any location worldwide using the Open-Meteo API. It includes specialized tools for agricultural growing conditions, weather alerts, and up to 16 days of forecasts across multiple transport modes.

Provides access to real-time weather data, 5-day forecasts, air quality information, and weather comparisons across multiple cities using the free OpenWeatherMap API.

Enables searching NOAA climate stations and datasets, and fetching historical weather observations via the Model Context Protocol (MCP).

Enables access to WeatherXM PRO weather station data, including real-time observations, historical data, and hyperlocal forecasts through station queries, geographic searches, and H3 cell-based weather information.

Enables AI assistants to fetch real-time weather data, forecasts up to 10 days, and compare weather conditions between cities using WeatherAPI.com with support for both Celsius and Fahrenheit units.

Real-time weather query MCP server providing current weather for cities via wttr.in, with support for listing built-in city mappings and server metadata.