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 by Gigi Sayfan
**Intact Gift Giving Condition book**
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. Build a production-ready multi-agent AI framework from scratch using MCP and A2A to orchestrate powerful agent workflows Free with your book: DRM-free PDF version + access to Packt's next-gen Reader* Key Features Build Python-based AI agents without relying on third-party orchestration frameworks Design production-ready multi-agent systems using A2A messaging Integrate memory and context with MCP to create adaptive and stateful agentic AI frameworks Book Description Frustrated by opaque agent frameworks that hide how things work? You’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.