Fundamentals of MCP and A2A for Agentic AI Systems

This webinar introduces the fundamentals of Model Context Protocol (MCP) introduced by Anthropic, and Agent-to-Agent (A2A) communication pioneered by Google, the two emerging standards driving the next generation of agentic AI systems. MCP enables seamless integration between AI models and external tools, while A2A allows autonomous agents to coordinate and collaborate effectively. Participants will explore the design, practical use cases, and hands-on applications of both protocols. By the end of the session, attendees will understand how MCP and A2A work together to build scalable, intelligent, and collaborative AI ecosystems for real-world deployment.

Key Takeaways:

• Understand the fundamentals of MCP and how it standardizes context-sharing between AI models and tools.
• Learn how A2A enables AI agents to communicate and collaborate autonomously.
• Explore use cases combining MCP and A2A to power intelligent agentic workflows.
• Experience a hands-on segment illustrating how these protocols work in practice.
• Discover how these protocols help build scalable and secure agentic AI applications.

Satyam Mittal is a Software Engineer specializing in AI/ML, with expertise in building scalable AI applications across e-commerce, fintech, and manufacturing. He has developed RAG systems, agentic frameworks, and AI search solutions. Holding a research-focused M.S. in Computer Science, he specialized in Machine Learning Metaheuristics. With prior experience as a Senior Software Engineer, Satyam combines academic research with practical engineering to deliver intelligent, production-ready AI systems. He is passionate about system design and applied AI innovation. You can search him up on LinkedIn.