{"product_id":"design-multi-agent-ai-systems-using-mcp-and-a2a-engineer-your-own-python-based-agentic-ai-framework-with-tool-use-memory-and-multi-agent-workflows-paperback","title":"Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Python-based agentic AI framework with tool use, memory, and multi-agent workflows - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eGigi Sayfan\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBuild a production-ready multi-agent AI framework from scratch using MCP and A2A to orchestrate powerful agent workflows\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eFree with your book: DRM-free PDF version + access to Packt's next-gen Reader*\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e- Build Python-based AI agents without relying on third-party orchestration frameworks\u003c\/p\u003e\u003cp\u003e- Design production-ready multi-agent systems using A2A messaging\u003c\/p\u003e\u003cp\u003e- Integrate memory and context with MCP to create adaptive and stateful agentic AI frameworks\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eFrustrated by opaque agent frameworks that hide how things work? This book gives you complete control by guiding you through building a fully functional, extensible agentic AI framework in Python without relying on external orchestration tools.\u003c\/p\u003e\u003cp\u003eYou'll begin by implementing a simple tool-using agent, and then gradually extend its capabilities with structured tool schemas, user interfaces, and memory via the Model Context Protocol (MCP). From there, you'll build collaborative multi-agent systems powered by Agent-to-Agent (A2A) messaging and deploy them in realistic environments. Along the way, you'll explore secure tool invocation, message routing, observability, and human-in-the-loop workflows.\u003c\/p\u003e\u003cp\u003eWith annotated code, deep engineering insights, and practical deployment patterns, this hands-on guide equips you to build AI agents that reason, plan, act, and adapt, whether you're shipping production systems or experimenting with cutting-edge LLM-based architectures.\u003c\/p\u003e\u003cp\u003eWritten by Gigi Sayfan, who builds AI agent infrastructure at Perplexity and is a bestselling author with decades of experience in AI and distributed systems, this book gives you the tools and knowledge to engineer your own advanced agentic systems.\u003c\/p\u003e\u003cp\u003e*Email sign-up and proof of purchase required\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e- Design and implement tool-using AI agents from the ground up\u003c\/p\u003e\u003cp\u003e- Build modular components for extensible agent frameworks\u003c\/p\u003e\u003cp\u003e- Create secure and observable tools with structured inputs\u003c\/p\u003e\u003cp\u003e- Integrate agents with chat UIs such as Slack and Chainlit\u003c\/p\u003e\u003cp\u003e- Leverage MCP for context handling and agent memory\u003c\/p\u003e\u003cp\u003e- Orchestrate collaborative agent workflows using A2A\u003c\/p\u003e\u003cp\u003e- Debug and deploy agents in production-like environments\u003c\/p\u003e\u003cp\u003e- Explore future-ready agent capabilities and GenUX design\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis book is essential for AI engineers, ML practitioners, and software architects building agentic systems with large language models. It's also ideal for DevOps engineers and technical leaders seeking deep insights into building and scaling autonomous AI workflows. Python coding skills and basic familiarity with LLMs are recommended.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTable of Contents\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e- Introduction to Generative AI and AI agents\u003c\/p\u003e\u003cp\u003e- Understanding How AI Agents Work\u003c\/p\u003e\u003cp\u003e- A Hands on Walk-Through of a Simple AI Agent\u003c\/p\u003e\u003cp\u003e- Building a Tool-Based Agentic AI Framework\u003c\/p\u003e\u003cp\u003e- Implementing Custom Tools\u003c\/p\u003e\u003cp\u003e- Creating Chat Interfaces Using Slack and Chainlit\u003c\/p\u003e\u003cp\u003e- Integrating with the Model Context Protocol Ecosystem\u003c\/p\u003e\u003cp\u003e- Designing Multi-Agent Systems\u003c\/p\u003e\u003cp\u003e- Implementing Multi-Agent Systems with A2A\u003c\/p\u003e\u003cp\u003e- Testing, Debugging, and Troubleshooting Multi-Agent Systems\u003c\/p\u003e\u003cp\u003e- Deploying Multi- Agent Systems\u003c\/p\u003e\u003cp\u003e- Advanced Topics and Future Directions\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 536\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.08 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e February 27, 2026\u003c\/div\u003e\n            ","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":43156728905791,"sku":"9781806116478","price":95.02,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/NR5aAYJ5_Z9781806116478.webp?v=1776974703","url":"https:\/\/dhlswag.com\/products\/design-multi-agent-ai-systems-using-mcp-and-a2a-engineer-your-own-python-based-agentic-ai-framework-with-tool-use-memory-and-multi-agent-workflows-paperback","provider":"BBB","version":"1.0","type":"link"}