Beyond Prompting: Building Scalable AI with Multi-Agent Systems and MCP

The landscape of AI development has evolved rapidly from simple LLM interactions to sophisticated systems capable of complex reasoning and action. This session maps this evolution and explores two key architectural advancements: multi-agent systems and the Model Context Protocol (MCP).

You’ll learn how to design specialized agents that plan, reason, and collaborate—moving from monolithic systems to multi-agent frameworks that maintain performance at scale. Then we’ll explore the Model Context Protocol (MCP), showing how it standardizes resource sharing and provides a unified communication layer.

Through demonstrations and architectural diagrams, you’ll leave with implementable knowledge on how to leverage these advanced architectural patterns and build AI systems that are more modular, maintainable, and capable of executing complex workflows.