MCP Learning Project

What is MCP (Model Context Protocol)?

MCP is a protocol that enables AI models to interact with external tools and data sources. It's like giving AI a set of "hands" to work with your computer, files, databases, and APIs.

Project Structure

mcp/
├── README.md              # This file - project documentation
├── requirements.txt       # Python dependencies
├── server.py             # Main MCP server implementation
├── tools/                # Custom tools that AI can use
│   ├── __init__.py
│   ├── file_tools.py     # File reading/writing tools
│   └── system_tools.py   # System command tools
├── config/               # Configuration files
│   └── server_config.json
└── examples/             # Example usage and testing
    └── test_client.py

Learning Objectives

By building this project, you'll learn:

1. MCP Architecture: How AI models communicate with external tools
2. Tool Development: Creating custom tools for AI to use
3. Protocol Implementation: Understanding the MCP specification
4. AI Integration: How to connect AI models with real-world data

Step-by-Step Learning Path

1. Setup & Dependencies - Install required packages
2. Basic Server - Create a minimal MCP server
3. File Tools - Build tools for reading/writing files
4. System Tools - Create tools for executing commands
5. Testing - Learn how to test your MCP server
6. Integration - Connect with AI models

Getting Started

# Install dependencies
pip install -r requirements.txt

# Run the server
python server.py

Next Steps

Follow along as we build each component step by step!