OpenWeatherMap를 위해 구축된 30개의 MCP를 찾아보세요.
Provides current weather conditions and a 5-day forecast using the OpenWeatherMap API as an MCP service.
Provides real-time weather data, forecasts, and historical weather information using the OpenWeatherMap API, specifically designed for Claude Desktop.
Provides global weather forecasts and current weather conditions.
Provides detailed 8-day global weather forecasts and current weather conditions using the OpenWeatherMap One Call API 3.0.
Retrieves real-time weather data using the OpenWeatherMap API.
Integrates OpenWeatherMap API to provide comprehensive weather data and forecasts for AI assistants.
Provides production-ready WebAssembly plugin examples for the Noorle platform, showcasing HTTP APIs, WASI 2.0, and the Component Model across Rust, Go, Python, JavaScript, and TypeScript.
Integrates OpenWeatherMap APIs into Go applications and provides an LLM-friendly MCP server for weather data.
Provides current weather conditions, forecasts, and alerts using an MCP server.
Enables weather queries for global cities within the Cursor AI assistant.
Provides real-time and forecast weather information through a Model Context Protocol server, integrating with the OpenWeatherMap API.
Provides current weather information for cities in Turkey through an MCP interface.
Fetches current weather information for any city using the OpenWeatherMap API.
Accesses comprehensive weather data from OpenWeatherMap, including current conditions, forecasts, alerts, and historical information.
Routes queries by intent to document processing, weather services, or general chat, enabling modular, observable AI workflows with LangGraph, LangChain, ChromaDB, and LangSmith.
Fetches current weather information for a specified city using the OpenWeatherMap API.
Provides a lightweight and modular server to fetch, process, and serve real-time weather data from APIs.
Provides a micro-plugin server to fetch current weather and forecasts using the OpenWeatherMap API.
Provides real-time weather data for specified locations via an AI agent-accessible tool built with the Model Context Protocol (MCP).
Exposes weather and air quality services via REST endpoints and MCP for integration with language models and AI agents.
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