This session from MCP Dev Summit 2026 examines MCP, agent-based artificial intelligence, AI architectures, and enterprise governance. Sheng Liang of Obot AI, chief executive officer, joins theCUBE Research hosts to discuss emerging agent-centric architectures and AI infrastructure. Liang draws on experience from Rancher Labs and the cloud-native era to explain how MCP functions as connective tissue for agents, the shift to GPU-driven compute, token-based workflows, and the need for secure production-ready agent systems; they emphasize governance, sandboxing and monitoring at the agent boundary. The conversation highlights how MCP enables agents to interact with systems and data, unlocking real-world effects. Liang identifies cost and statistical reliability challenges and advocates governance, sandboxing and robust monitoring. Hosts and analysts underscore systems thinking, token consumption as an operational model and practical developer priorities: governance, cost efficiency and validated toolchains. This discussion addresses enterprise governance for agent deployments, AI infrastructure considerations for GPU-driven workloads, and standards and operational practices that make agent systems production ready.