Overview

What if the next breakthrough in software isn't another framework-but a new way for systems to think, act, and collaborate? This book reveals the emerging world of Agentic AI and the Model Context Protocol (MCP), showing developers how to build intelligent, self-directed applications that go far beyond prompts and APIs. Designed as a practical, hands-on guide, it walks you through every layer of modern agent systems-from retrieval and memory to tool use, orchestration, safety, and multi-agent collaboration. You'll explore proven architectural patterns, real-world examples, and production-ready workflows that demystify how advanced agents reason, coordinate, and take autonomous action. Readers will gain the skills to design robust agent pipelines, integrate tools safely, build persistent memory systems, optimize cost and performance, and ship systems capable of performing research, automating complex workflows, and interacting with humans responsibly. Each chapter distills cutting-edge practices used by leading AI teams, turning complex concepts into actionable techniques you can apply immediately. What sets this book apart is its complete, end-to-end approach: it doesn't just explain how agents work-it shows you how to design, implement, evaluate, secure, and scale them using MCP as the unifying backbone. Whether you're building autonomous research assistants, multi-agent content pipelines, customer experience automation, or enterprise AI systems, this book gives you the architecture, patterns, and confidence to bring them to life. If you're ready to move beyond traditional prompt engineering and start building real intelligent systems, this is your roadmap. Start reading now and unlock the next frontier of AI-powered software development.

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