MCP Server Demo

What is MCP Server Demo?

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.

How to use MCP Server Demo?

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.

Key features of MCP Server Demo

• Basic MCP server setup and configuration
• Example implementations of MCP resources
• Integration with GitHub MCP server
• AI‑powered weather analysis using GPT and OpenWeatherMap

Use cases of MCP Server Demo

• Learning how to build and run an MCP server from scratch
• Prototyping MCP resources and testing their lifecycle
• Combining MCP with external APIs (weather, GitHub) for enriched AI interactions

FAQ from MCP Server Demo

What dependencies are required?

Python and the packages listed in requirements.txt. You also need API keys for OpenAI and OpenWeatherMap.

How do I configure the environment?

Copy .env.example to .env and fill in your OpenAI API key and OpenWeatherMap API key.

Does the demo work without an API key?

No, both the OpenAI and OpenWeatherMap keys are required for the weather prediction app and GPT integration.

What kind of MCP resources are included?

The repository provides example resource definitions; the README does not detail their exact content but shows how to list, create, and manage them.

Is the GitHub MCP server required to run the demo?

The README mentions integration with a GitHub MCP server, but does not specify whether it is mandatory or optional.