The Model Context Protocol (MCP) is evolving beyond local developer experiments and into the secure, remote infrastructure that will power the next generation of the internet. Brendan Irvine-Broque, Director of Product at Cloudflare, joins us to share a roadmap for this future. He explains how Cloudflare's "customer zero" philosophy of dogfooding their own tools provides a unique perspective on what it takes to scale MCP for production.

Brendan makes the case for observability as the ideal starting point for enterprises and lays out the vision for MCP's ultimate destination: a universal protocol for agent-to-agent communication. The conversation explores how remote servers can create a decentralized layer for security and user memory, and what the exciting development of MCP UI means for the future of chat-based applications. This is an essential look at the next wave of agentic systems and the infrastructure required to build it.

Check out:

• Watch Closing the AI gap: Surpassing executive expectations for AI productivity

Follow the hosts:

• Follow Ben
• Follow Andrew

Follow today's guest(s):

• Learn more about Cloudflare's work with AI: agents.cloudflare.com
• Read the latest from Cloudflare: The Cloudflare Blog
• Cloudflare's Unique Primitives Mentioned: Durable Objects
• The MCP UI Project: MCP UI on GitHub (Project by Ido Salomon)
• Observability Tools Mentioned: Datadog | Honeycomb
• AI Tools Mentioned: Block/Square's "Goose" | Cursor
• Connect with Brendan Irvine-Broque: X @irvinebroque | LinkedIn

Referenced in today's show:

OFFERS

• Start Free Trial: Get started with LinearB's AI productivity platform for free.
• Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era.

LEARN ABOUT LINEARB

• AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production.
• AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance.
• AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil.
• MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.