Overview
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Explore the essential protocols driving the future of autonomous AI agent coordination in this comprehensive webinar. Discover why standardized communication protocols are critical as AI agents become more sophisticated and need to interact seamlessly with tools and each other. Learn about three key Agentic AI Protocols: MCP (Model Context Protocol) as the universal connector for AI systems, A2A (Agent-to-Agent) for direct agent collaboration, and ACP (Agent Communication Protocol) for shared messaging frameworks. Understand how multi-agent systems require shared standards to function effectively at scale, and examine MCP's role as the "USB-C for AI" that enables universal connectivity. Dive into A2A protocols that facilitate direct agent-to-agent collaboration and ACP systems that provide robust messaging infrastructure. Watch live demonstrations of Zapier's MCP implementation in multi-agent workflows and see how these protocols extend real-world capabilities. Compare the strengths and use cases of MCP, A2A, and ACP protocols while learning strategies for building scalable, standards-based intelligent systems. Participate in hands-on exercises featuring live demos of MCP-powered automation and discover how A2A and ACP protocols enhance multi-agent system capabilities in practical applications.
Syllabus
Agentic AI Protocols: MCP, A2A, and ACP
Taught by
Data Science Dojo