MCP（Model Context Protocol） for Beginners: From Fundamentals to Implementation with Python

MCP (Model Context Protocol) is an innovative protocol designed to eliminate the complexities of integration in the rapidly evolving field of generative AI.
This book aims to help you understand MCP and gain hands-on experience so that you can use it with confidence.
Each chapter is structured to guide you through actual code implementations, providing clear explanations along the way. We begin by exploring the core concepts and architecture of MCP, followed by step-by-step tutorials using Python to give you practical, hands-on experience. Even if you're new to MCP, the accessible approach ensures you can learn with ease.
Through this book, you'll deepen your knowledge of MCP, discover how to apply it effectively, and learn how to incorporate the power of AI into your daily work and projects.
Let’s dive into the world of MCP together.

＜Table of Contents＞
Introduction
Chapter 1 Overview
　1.1 What is MCP?
　1.2 History and Development Background of MCP
　1.3 Applications of MCP
Chapter 2 Fundamentals and Mechanisms of MCP
　2.1 Overview of Natural Language Processing (NLP) and Generative AI
　2.2 MCP Architecture
　2.3 MCP Flow
　2.4 Differences Between MCP and RAG
　2.5 MCP Specifications
Chapter 3 Hands-On Preparation
　3.1 Environment
　3.2 Hands-On Workflow
Chapter 4 Hands-On Procedures
　Chapter 4-1 Trying It Out with Claude Desktop
　Chapter 4-2 Building an MCP Server
　Chapter 4-3 Building an MCP Client
　Chapter 4-4 Using Publicly Available MCP Servers
　Chapter 4-5 MCP Success and Failure Patterns
Chapter 5 Conclusion