Open-Meteo向けに構築された40個のMCPを発見。
Integrates with Open-Meteo to provide current weather conditions and hourly forecasts via a Model Context Protocol server.
Provides weather data using the Open-Meteo API, enabling AI assistants to retrieve current conditions and forecasts globally.
Delivers real-time hourly weather forecasts to AI assistants and applications via both Model Context Protocol (MCP) and REST APIs.
Retrieves current weather conditions for any city worldwide using the Open-Meteo API.
Integrates real-time and forecasted weather data from Open-Meteo into Large Language Models via the Model Context Protocol.
Provides an example Model Context Protocol server implementation for AI agents using FastAPI.
Provides real-time data about traffic, bike-sharing, air quality, and weather in Valencia, Spain.
Provides real-time weather information for cities by integrating with the Open-Meteo API within a Model Context Protocol (MCP) server.
Provides detailed weather information, air quality data, and agricultural insights for Indian cities via a Model Context Protocol server.
Fetches daily weather forecasts for any city using the Open-Meteo API.
Retrieves real-time and historical weather data, along with current time information, from the Open-Meteo API.
Access real-time and forecasted weather conditions, air quality data, and precise geocoding capabilities powered by the free Open-Meteo API.
Integrates with the Open-Meteo API to provide real-time current weather information and forecasts for language models.
Provides weather data retrieval, LangChain Agent integration for natural language queries, and data visualization capabilities for current and historical weather trends.
Integrates real-time weather data and secure note-taking features into Model Context Protocol (MCP) compatible environments.
Provide worldwide weather forecasts, current conditions, and historical data to AI assistants without requiring API keys.
Delivers comprehensive real-time and historical weather data, forecasts, and alerts powered by the Open-Meteo API.
Bridges Large Language Models to external tools and APIs through custom Model Context Protocol (MCP) server implementations.
Integrates external APIs into developer environments via custom Model Context Protocol servers.
Provides real-time weather information by integrating with geolocation and meteorological APIs.
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