As enterprises race to integrate AI into their systems, a quiet shift is underway: the rise of the Model Context Protocol (MCP) as the de facto interface between models, services, and infrastructure. MCP isn’t just another wire format—it’s a way to give structure, semantics, and shared context to how systems communicate in the AI era.

In this episode, we're joined by Alex Olivier, Co-founder & CPO of Cerbos, to explore how MCP is reshaping how teams think about interoperability, policy, and context-aware behavior. We also go behind the scenes on our effort to bring MCP to Fastify—what we’ve learned about runtime integration, developer experience, and where the protocol is heading next.

We’ll dig into:

✅ Why MCP is gaining traction as the new “API” for model-aware systems

✅ The hidden complexity of securing and governing context-rich protocols

✅ How Fastify is evolving to support MCP natively

✅What it means to prioritize DX in a protocol-first world

If you’re building systems that talk to models—or models that talk to systems—this is the protocol shift you can’t ignore.