Design Multi-Agent AI Systems Using MCP and A2A

... Agent2Agent ( A2A ) Protocol . The book provides both theoretical understanding and hands - on implementation ... deep learning ( 2006+ ) , to today's transformer - based agents , showing how each era's limitations drove the next ...

Applied AI for Enterprise Java Development

... A2A (Agent2Agent) protocol, 70 access control context engineering, 53 role-based, 42 token management, 72 access ... deep learning, 4 GenAI, 5-8 machine learning, 4 AI agent frameworks (see agents) AI Gateway layer, 63-66 AI ...

Introducing Python

Modern Computing in Simple Packages Bill Lubanovic. MCP A2A The Model Context Protocol from Anthropic . The Google Agent2Agent ... AI models . First , let's look at creating models with Python . Some early and essential components were ...

MCP & A2A Protocols

This book dives into Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication standards-two emerging technologies that power scalable multi-agent systems, autonomous decision-making, and real-time protocol negotiation between AI ...

Mastering Agentic AI Protocols

This hands-on guide breaks down the core protocols-Model Context Protocol (MCP), Agent-to-Agent (A2A), and ReACT-into clear, actionable strategies, showing you how to build intelligent agents that are secure, observable, and easy to ...

ACP + MCP + A2A for AI Developers

This book offers a clear, code-first roadmap for developers who want to build advanced, interoperable AI agents capable of reasoning, delegation, and real-time collaboration.

ACP + MCP + A2A for AI Developers

Unlock the full potential of multi-agent systems and AI communication with this definitive guide to ACP, MCP, and A2A protocols.

Practical AI Agent Engineering

This book presents a clear, hands-on approach to designing, orchestrating, and managing AI agents that work cohesively across distributed infrastructures.