Discover 30 MCPs built for OpenWeatherMap.
Provides real-time and forecasted weather information via an integrated Model Context Protocol (MCP) server.
Provides a Model Context Protocol (MCP) demo server for integrating external functionalities like weather and prayer times into AI clients.
Exposes a JSON-RPC endpoint for retrieving simplified weather data from OpenWeatherMap.
Provides a real-time weather conversation experience leveraging AI and external APIs through the Model Context Protocol.
Provides real-time weather information and forecasts via an AI-powered conversational interface, integrating OpenAI's GPT model with a Model Context Protocol server.
Provides real-time weather data and forecasts for cities worldwide using natural language queries and the OpenWeatherMap API.
Provides real-time weather data and forecasts to AI models and language assistants through an API.
Delivers current weather conditions, multi-day forecasts, and alerts for any location via a FastMCP server.
Combines a Retrieval-Augmented Generation (RAG) system with the Model Context Protocol (MCP) to create a powerful, modular AI application.
Provides a sample server for integrating weather API data, including validate and resume endpoints for AI hackathon applications.
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