{"product_id":"designing-agentic-ai-systems-with-mcp-and-a2a-persistent-context-agent-collaboration-and-scalable-multi-agent-systems-9798245112084","title":"Designing Agentic AI Systems with MCP and A2A: Persistent Context, Agent Collaboration, and Scalable Multi-Agent Systems","description":"\u003cp\u003e • Author(s): Tyrell Owen\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Expert Systems\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDesigning Agentic AI Systems with MCP and A2A\u003c\/b\u003e is a comprehensive, hands-on guide to building modern AI agents that can \u003cb\u003eremember context, communicate intelligently, and collaborate at scale\u003c\/b\u003e using the \u003cb\u003eModel Context Protocol (MCP)\u003c\/b\u003e and \u003cb\u003eAgent-to-Agent (A2A)\u003c\/b\u003e communication standards.\u003cbr\u003eAs AI systems move beyond single-prompt interactions toward long-running, autonomous workflows, developers face new challenges: how to persist memory across sessions, coordinate multiple specialized agents, manage failures, and scale reliably in production. This book addresses those challenges directly by teaching you how to design and implement \u003cb\u003eagentic AI systems that reason, plan, and act together\u003c\/b\u003e without reinventing foundational infrastructure.\u003cbr\u003eStarting from first principles, the book explains how MCP enables durable, versioned context storage for AI agents, allowing them to retain conversation history, user preferences, and world state across restarts and deployments. You'll then explore how A2A communication allows agents to delegate tasks, exchange progress updates, handle errors, and coordinate complex workflows through structured peer-to-peer messaging.\u003cbr\u003eRather than relying on abstract theory, this book emphasizes \u003cb\u003epractical system design and real implementation patterns\u003c\/b\u003e. Using production-ready examples in \u003cb\u003ePython and JavaScript\u003c\/b\u003e, you'll learn how to set up MCP servers and clients, implement A2A messaging flows, and integrate these protocols with popular AI frameworks and orchestration tools. Advanced chapters cover secure authentication, streaming large context payloads, sharding and compression strategies, and multi-agent planning across distributed environments.\u003cbr\u003eThe book also includes \u003cb\u003ereal-world case studies\u003c\/b\u003e drawn from customer support automation, enterprise workflow orchestration, and autonomous systems, highlighting common pitfalls and proven architectural patterns. By the end, you'll be equipped to design AI agent ecosystems that are not only intelligent, but \u003cb\u003erobust, maintainable, and scalable\u003c\/b\u003e.\u003cbr\u003eWhether you are an AI engineer, backend developer, systems architect, or technical founder, \u003ci\u003eDesigning Agentic AI Systems with MCP and A2A\u003c\/i\u003e provides the knowledge and practical skills needed to build \u003cb\u003ecollaborative, context-aware AI systems ready for real-world deployment\u003c\/b\u003e.\u003cbr\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003c\/p\u003e\u003col\u003e\n\u003cli\u003eHow MCP enables persistent, versioned context for long-running AI agents\u003c\/li\u003e\n\u003cli\u003eHow A2A communication structures agent collaboration and task delegation\u003c\/li\u003e\n\u003cli\u003eDesign patterns for scalable, multi-agent AI architectures\u003c\/li\u003e\n\u003cli\u003eSecure authentication and authorization for agent communication\u003c\/li\u003e\n\u003cli\u003eStreaming, sharding, and compression techniques for large-scale deployments\u003c\/li\u003e\n\u003c\/ol\u003eReal-world lessons from production AI agent systems.","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47594552262807,"sku":"9798245112084","price":1701.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798245112084.webp?v=1774986349","url":"https:\/\/atlanticbooks.com\/products\/designing-agentic-ai-systems-with-mcp-and-a2a-persistent-context-agent-collaboration-and-scalable-multi-agent-systems-9798245112084","provider":"Atlantic Books","version":"1.0","type":"link"}