This repository contains my personal notes and code from a crash course on the Model Context Protocol (MCP). I am following the official documentation and a YouTube tutorial to learn how to build applications with this exciting new protocol.
- Official MCP Documentation: https://modelcontextprotocol.io/docs/getting-started/intro
- YouTube Tutorial: https://www.youtube.com/watch?v=ZoZxQwp1PiM&list=PLwUFQpzS-tRJHwT-qaI90vl-OLQcZz2Ck&index=27&t=127s
- Tutorial Repository: https://github.com/WebDevSimplified/mcp-server-and-client
The Model Context Protocol (MCP) is an open protocol designed to standardize the way applications provide context to Large Language Models (LLMs). Think of it as a "USB-C port for AI applications," allowing a standardized connection between AI models and various data sources or tools. MCP is essential for building agents and complex workflows on top of LLMs.
The YouTube tutorial provides a comprehensive crash course on MCP, explaining its core concepts and walking through the process of building both an MCP server and an MCP client from scratch using a TypeScript SDK.
The tutorial covers:
- Understanding MCP: A clear definition of the protocol and how it enables communication between a server and a client.
- MCP Server Components: An explanation of the four main components of an MCP server: Tools, Resources, Prompts, and Samplings.
- Building an MCP Server: A step-by-step guide to setting up an MCP server, including installation, configuration, and implementation of tools and resources.
- Building an MCP Client: A demonstration of how to create an MCP client, connect it to the server, and interact with its features.
- Integration with AI Chatbots: A look at how to integrate the MCP server with AI chatbots like GitHub Copilot.
My primary goal is to gain a solid understanding of MCP and its practical applications. By the end of this course, I aim to be able to:
- Explain the core concepts of MCP.
- Build a functional MCP server and client.
- Integrate MCP with other tools and AI models.
This repository is for my personal learning and may not be a comprehensive guide.