What dependencies are required?
Python and the packages listed in `requirements.txt`. You also need API keys for OpenAI and OpenWeatherMap.
@Manobhiramlol
Basic information
Demo repository for MCP (Model Context Protocol) server integration
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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