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Introduction to MCP Banner

Introduction to MCP

Multi-LLM Model Context Protocol (MCP) Servers & Clients

Claude Grok Gemini GitHub Copilot

Python uv Anthropic

GitHub stars

👋 About the Project

This repository is a practical introduction to Anthropic’s Model Context Protocol (MCP) with full multi-LLM support.

It demonstrates building MCP servers and clients while using:

  • Claude (native Anthropic SDK)
  • Grok (xAI)
  • Gemini (Google)
  • Copilot (GitHub)

The orch/ layer uses all four LLMs together to train and improve orchestration logic.

🛠️ Tech Stack

Tech Stack

✨ Features

  • ⚡ Full MCP server + client implementation
  • 🌐 Multi-LLM support (Claude • Grok • Gemini • Copilot)
  • 🚀 orch/ layer trained with all four LLMs
  • 🧪 Ultra-modern Python setup with uv
  • 📁 Clean, well-documented structure
  • 🔧 Ready to run in minutes
  • 🇿🇦 Built in South Africa

📊 MCP Architecture MCP Diagram

👩‍💻 About Me Kholofelo Robyn Rababalela Freelance Web Developer · Computer Engineering Student 📍 Cape Town, Western Cape, South Africa

🔗 Connect With Me

LinkedIn Ko-fi (Support my open-source work) PayPal

Made with ❤️ in South Africa 🇿🇦 Star ⭐ this repo if you found it useful!

🚀 Quick Start

# 1. Clone the repo
git clone https://github.com/RobynAwesome/Introduction-to-MCP.git
cd Introduction-to-MCP

# 2. Install dependencies with uv
uv pip install -e .

# 3. Activate the virtual environment (Windows)
.\.CLI_Project\Scripts\activate
# or if using the default venv:
# .\.venv\Scripts\activate

# 4. Run the example
python main.py