Introduction to MCP

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

👋 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.

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🛠️ Tech Stack

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✨ 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

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📊 MCP Architecture

👩‍💻 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