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▎ 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

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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