What dependencies are required?
Python and the packages listed in `requirements.txt`. You also need API keys for OpenAI and OpenWeatherMap.
@Manobhiramlol
基本信息
Demo repository for MCP (Model Context Protocol) server integration
工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
MCP Server Demo is a demonstration repository that shows how to set up and use a Model Context Protocol (MCP) server. It includes example MCP resources and a sample weather prediction app that combines OpenWeatherMap data with GPT for AI‑powered analysis.
Clone the repository, install dependencies with pip install -r requirements.txt, copy .env.example to .env and add your OpenAI and OpenWeatherMap API keys, then run the demo. The demo lists available MCP resources, creates and manages them, integrates with the GitHub MCP server, and uses GPT for weather predictions.
Python and the packages listed in `requirements.txt`. You also need API keys for OpenAI and OpenWeatherMap.
Copy `.env.example` to `.env` and fill in your OpenAI API key and OpenWeatherMap API key.
No, both the OpenAI and OpenWeatherMap keys are required for the weather prediction app and GPT integration.
The repository provides example resource definitions; the README does not detail their exact content but shows how to list, create, and manage them.
The README mentions integration with a GitHub MCP server, but does not specify whether it is mandatory or optional.

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