Model Context Protocol (MCP) in Action is the definitive, developer-first guide to designing, building, and operating interoperable AI systems at scale.
As large language models move from isolated chatbots to deeply integrated systems, developers face a new challenge: how to connect models, tools, data, and context reliably without creating fragile, tightly coupled architectures. This book shows you how to solve that problem using the Model Context Protocol (MCP) as a unifying infrastructure layer.
Written for professional developers, architects, and AI engineers, this book takes a practical, no-nonsense approach. You will learn how MCP enables clean separation between models and capabilities, how to expose tools and resources safely, and how to design context flows that remain stable as systems evolve. Every concept is explained in clear, flowing prose and reinforced with real, runnable examples that demonstrate production-ready patterns-not toy demos.
You will move from foundational MCP concepts to advanced, real-world applications, including multi-server orchestration, context routing and aggregation, production deployment strategies, and long-term system evolution. The book places special emphasis on operational reliability, scalability, and interoperability, helping you avoid common pitfalls such as hidden assumptions, tight coupling, and overloaded context responsibilities.
By the end of this book, you will understand how to treat MCP not as a feature, but as infrastructure-glue that binds models, tools, and environments into cohesive, maintainable systems. You will be equipped to design AI architectures that scale safely, adapt over time, and remain interoperable across teams, vendors, and platforms.
If you are building serious AI systems and want a clear, authoritative guide to MCP that respects your experience as a developer, Model Context Protocol (MCP) in Action is the book you have been waiting for.
