What happens after you’ve built your first MCP server and actually have to make it work in the real world? In this episode, James dives into the more advanced side of MCP: observability, evals, tool design, code mode, authentication, and the challenges that appear once agents start using your server at scale. We also get into how AWS thinks about MCP across roughly 16,000 APIs, why inefficient tool design often gets blamed on MCP itself, and whether the future could involve more constrained, human-reviewable alternatives to full code mode.

Voice is becoming one of the most natural ways to interact with AI. As AI agents move beyond text and into real-time conversations, voice is opening up an entirely new layer of interaction between people, software, and intelligent systems. From customer support and personal assistants to enterprise workflows, healthcare, and entirely new applications, voice agents are rapidly becoming a major interface for AI.

Two people, a wrong turn into a back alley, a community garden, and about thirty minutes of arguing about protocols on the streets of Tokyo. The guest is Angie Jones, VP of Developer Experience at the Agentic AI Foundation, fresh off launching AGNTCon + MCPCon in China before the Tokyo stop. She opens with what she learned there: a mobile-first, super-app world where the integration problem most of us obsess over barely exists, where every conversation about agents is really a conversation about the model, and where companies are now reaching for MCP and A2A precisely because they want to operate outside that ecosystem.