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Artículo: AMZ-B0G2JD15YX
MCP & Multi-Agent Coordination: A Hands-On Guide to Autonomous Agents, Tool Use, and Context-Aware AI Systems what do you think of this book
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- MCP & Multi-Agent Coordination: A Hands-On Guide to Autonomous Agents, Tool Use, and Context-Aware AI SystemsAI is changing faster than ever—but the real revolution isn’t just bigger models. It’s autonomous, tool-using, context-aware agent systems that can plan, act, reason, correct themselves, and collaborate like intelligent teams. This book is your complete, practical guide to building them.According to the manuscript, today’s developers are moving from isolated prompts to systems that behave like intelligent collaborators—agents with memory, tools, and shared context working inside long-lived workflows. This book teaches you exactly how to build those systems from the ground up using the Model Context Protocol (MCP).You’ll start with the foundations of MCP—what it is, how it works, why it exists, and how JSON-RPC provides its backbone. You’ll then learn how agents reason, plan, observe, update context, and cooperate across roles such as planner, worker, evaluator, and critic. The manuscript details how these roles naturally form a self-organizing team capable of solving complex, multi-step tasks that no isolated model could handle.What makes this book different is its pure narrative walkthrough style: clear explanations, deep conceptual storytelling, and full hands-on code examples you can run immediately. Each chapter follows a consistent structure—concepts, narrative reasoning, code, use cases, pitfalls, and concise wrap-ups—so you learn smoothly and build intuition with every step.By the time you reach the advanced sections, you’ll be building complete multi-agent systems, including:an autonomous research assistanta multi-agent coding enginea data analysis and report generatora workflow-driven automation orchestratorYou will learn how to design tools agents can really use, create stable multi-agent workflows, maintain shared memory, detect failures early, recover through reasoning, and build agents that self-correct over time. The manuscript emphasizes that these skills form the foundation of the next era of AI—systems that don’t just respond, but sustain intentions, carry context, and collaborate intelligently.Whether you are an AI developer, automation engineer, researcher, or a builder exploring the frontier of agentic systems, this book gives you everything you need: the mental models, the architecture, the code, and the real-world projects.If you want to build AI systems that behave not like prompts—but like partners—then this is the essential handbook.
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