Architecting AI with MCP

As AI systems move from single responses to multi-step reasoning and action, context becomes a first-class architectural concern. This session explores Model Context Protocol (MCP) as a system-level abstraction for managing tools, memory, and external integrations. We will examine how MCP fits into modern agent architectures, how it enforces clearer boundaries between models and systems, and why treating context as infrastructure leads to more reliable, scalable AI in production.