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MCP Server Demo

MCP Server Demo

Local
github.com/ManobhiramlolDeveloper Tools0Updated 73w ago

About MCP Server Demo

MCP Server Demo is a repository demonstrating basic MCP server integration, including example resources and a GitHub MCP server connection. It also includes a GPT-based weather app that combines OpenWeatherMap data with analysis and recommendations.

Key features

  1. 01Basic MCP server setup
  2. 02Example MCP resources
  3. 03GitHub MCP server integration
  4. 04GPT weather analysis and recommendations

Use cases

  1. 01Explore basic MCP server integration
  2. 02List and manage example resources
  3. 03Try a GitHub MCP server connection
  4. 04Review weather forecasts with AI analysis

MCP support

Demonstrates MCP server setup and resource listing and management, and includes an integration with GitHub MCP server.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

MCP Server Demo

This repository demonstrates the integration of MCP (Model Context Protocol) server functionality.

Features

  • Basic MCP server setup
  • Example implementations of MCP resources
  • Integration with GitHub MCP server
  • Weather prediction app using GPT

Setup

  1. Clone the repository
  2. Install dependencies:
    pip install -r requirements.txt
    
  3. Configure environment variables:
    • Copy .env.example to .env
    • Add your OpenAI API key
    • Add your OpenWeatherMap API key
  4. Run the demo

Usage

The demo showcases how to:

  • List available MCP resources
  • Create and manage MCP resources
  • Integrate with GitHub MCP server
  • Use GPT for weather prediction

Weather Prediction App

The weather prediction app combines OpenWeatherMap API with GPT to provide detailed weather analysis. It:

  • Shows current weather conditions
  • Displays hourly weather forecast
  • Provides AI-powered weather analysis and recommendations

Contributing

  1. Fork the repository
  2. Create your feature branch
  3. Commit your changes
  4. Push to the branch
  5. Create a Pull Request

License

MIT License

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.