- Preface
- 1 The MCP Protocol
- 2 Your First MCP Server
- 3 Tools — Giving the LLM Hands
- 4 Resources — Serving Data
- 5 Prompts — Intelligent Templates
- 6 Transport and Communication
- 7 Integrating with External APIs
- 8 Authentication and Security
- 9 Testing MCP Servers
- 10 Server Composition
- 11 Building MCP Clients
- 12 Deploy and Distribution
- 13 Observability and Monitoring
- 14 Final Project — DevKit MCP in Production
MCP in Practice
Servers, Tools, and Integrations with Model Context Protocol
This book is 70% completeLast updated on 2026-05-13
Build MCP servers from scratch — from protocol to production deployment. Learn Tools, Resources, Prompts, HTTP transport, authentication, testing, and server composition. 14 chapters, one real project, complete TypeScript code.
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About
About the Book
▎ The Model Context Protocol (MCP) is the open standard that connects AI models to the outside world. While REST APIs were designed for applications, MCP was designed for LLMs to use tools, access data, and execute actions in a structured,
secure way.
▎ MCP in Practice is the hands-on guide that takes you from protocol to production. Across 14 chapters, you build DevKit MCP — a suite of MCP servers that expose Git operations, API testing, and external service integrations to any AI
assistant that supports the protocol.
▎ You learn the three MCP primitives (Tools, Resources, and Prompts), implement both stdio and Streamable HTTP transports, integrate with external APIs like GitHub, add authentication and security with JWT and sandboxing, write automated tests
with InMemoryTransport, compose multiple servers with proxy routing, build custom MCP clients, and deploy with Docker and npm.
▎ Each chapter adds a real layer to the project, with complete TypeScript code, practical exercises at three difficulty levels, and a common mistakes section that saves you hours of debugging.
▎ Who this book is for:
▎ - Developers who want to build MCP servers for their tools and APIs
▎ - Teams integrating AI with internal systems (databases, APIs, repositories)
▎ - Anyone working with Claude Code, Claude Desktop, Cursor, or VS Code who wants to extend their AI assistant's capabilities
Author
About the Author
CAIO INCAU
aio Incau é Engineering Manager com experiência liderando times de engenharia de software em larga escala. No dia a dia, combina gestão de pessoas com profundidade técnica para entregar produtos que impactam milhões de usuários. Começou a usar Claude Code por curiosidade, virou adepto por produtividade, e escreveu este livro para que outros desenvolvedores não precisem descobrir tudo sozinhos.
Contents
Table of Contents
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