Overview

Build production-ready AI agents that don't just ""chat"" - they plan, use tools, collaborate, retrieve knowledge, and complete real tasks reliably. Agentic AI with MCP, Second Edition is a practical, beginner-friendly guide to designing and building modern multi-agent systems using the Model Context Protocol (MCP). You'll learn how to structure agents with clear roles, connect them to real tools and APIs, pass messages safely, and integrate memory and retrieval so your systems stay grounded, consistent, and useful. Every concept is taught with step-by-step explanations and working examples, so you can move from ""I've heard of agents"" to ""I can build and deploy them"" with confidence. This book stands out by showing you the full end-to-end path: from agent architecture diagrams and message pipelines, to RAG (retrieval-augmented generation) workflows, to tool-enabled agent design, to real-world projects like a Research Assistant system and a Developer Agent suite. You'll also learn how to deploy and scale agent systems using modern patterns such as FastAPI, Docker containerization, and cloud deployment strategies - with an emphasis on safety, reliability, and clean engineering practices. Written in a clear, mentor-like style, this Second Edition reflects the newest expectations of today's agentic ecosystem: graph-based orchestration, structured tool schemas, improved debugging workflows, and practical guidance for building systems that behave predictably under pressure. If you want a modern, hands-on roadmap for multi-agent engineering and MCP-based architectures, this book is designed to save you time and help you ship.

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