Discover 36 MCPs built for Open-Meteo.
Integrates with Open-Meteo to provide current weather conditions and hourly forecasts via a Model Context Protocol server.
Provides real-time and forecast weather information via the Open-Meteo API.
Provides weather information tools for AI assistants via a Model Context Protocol (MCP) server implementation in TypeScript.
Delivers comprehensive real-time and historical weather data, forecasts, and alerts powered by the Open-Meteo API.
Fetches daily weather forecasts for any city using the Open-Meteo API.
Provides detailed weather information, air quality data, and agricultural insights for Indian cities via a Model Context Protocol server.
Provides real-time weather information by integrating with geolocation and meteorological APIs.
Retrieves current weather conditions for any city worldwide using the Open-Meteo API.
Integrates external APIs into developer environments via custom Model Context Protocol servers.
Provides real-time weather information for cities by integrating with the Open-Meteo API within a Model Context Protocol (MCP) server.
Provides weather data retrieval, LangChain Agent integration for natural language queries, and data visualization capabilities for current and historical weather trends.
Retrieves real-time and historical weather data, along with current time information, from the Open-Meteo API.
Integrates real-time weather data and secure note-taking features into Model Context Protocol (MCP) compatible environments.
Integrates real-time and forecasted weather data from Open-Meteo into Large Language Models via the Model Context Protocol.
Provides real-time data about traffic, bike-sharing, air quality, and weather in Valencia, Spain.
Serves real-time weather and geolocation data via a streamable HTTP Model Context Protocol (MCP) server.
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