What does this server do?
The Weather MCP server provides a `fetch-weather` tool that returns weather information. The client uses OpenAI's GPT-4 to interpret natural language questions and calls the server tool to answer them.
@sturlese
基本情報
概要はまだありません
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
Weather MCP (Model Context Protocol) Demo is a demonstration project that implements a Model Context Protocol (MCP) system for weather information. It consists of a Python-based MCP server that provides weather data and an OpenAI GPT-4 client that processes natural language queries, enabling users to ask about weather through a command-line interface.
Clone the repository, create a .env file with your OpenAI API key in both server_weather/ and client_weather_openai/ directories, install dependencies using a Python virtual environment and pip install -r requirements.txt. Start the server with python server_weather.py, then start the client with python weather_agent_openai.py and ask natural language questions like "What's the weather in New York today?"
http://localhost:4000/sse)fetch-weather tool discoverable by MCP clientsThe Weather MCP server provides a `fetch-weather` tool that returns weather information. The client uses OpenAI's GPT-4 to interpret natural language questions and calls the server tool to answer them.
You need Python 3.x, an OpenAI API key (obtainable from the OpenAI Platform), and a properly configured `.env` file with your key.
The server communicates via Server-Sent Events (SSE) and listens on `http://localhost:4000/sse`.
The README does not specify the data source; the server provides weather information through its `fetch-weather` tool.
No, this is a demonstration project meant for learning and experimentation with the Model Context Protocol. It is open source under the MIT License and welcomes contributions.

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