May 28, 2026 · show notes

ABOUT THIS EPISODE

Rebooting Enterprise AI with MCP and Kubernetes

What happens when AI agents start acting less like chatbots and more like coworkers? In this episode, Dan and Chris sit down with Craig McLuckie, CEO of Stacklok to explore MCP, Kubernetes, ToolHive, enterprise AI, and the emerging infrastructure powering AI-native applications. From identity management to agent orchestration and system architecture, this conversation dives into how organizations may soon manage entire fleets of AI agents working behind the scenes.

Featuring:

Craig McLuckie – LinkedIn
Chris Benson – Website, LinkedIn, Bluesky, GitHub, X
Daniel Whitenack – Website, GitHub, X

Links:

Sponsors:

Prediction Guard: A self-hosted AI control plane for running agents in high impact environments. predictionguard.com/practicalai

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IN THIS EPISODE

Craig McLuckie

Chris Benson

Daniel Whitenack

machine learning

deep learning

artificial intelligence

neural networks

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SHOW NOTES 🔗

00:00:00Welcome to Practical AI!

00:00:59Introducing the Guest

00:01:52Craig's Background and the Intersection of AI, MCP, and Kubernetes

00:05:08Understanding the Model Context Protocol (MCP)

00:06:55Concrete Examples of MCP in Action

00:12:17Exploring the Technology Stack and Integration

00:18:28Sponsor: Prediction Guard

00:20:12Identity and Authentication in MCP Systems

00:24:08Token Exchange and Security Patterns

00:27:38The Role of Proxy Layers in MCP Connections

00:33:02Introduction to ToolHive: Building the Yellow Brick Road

00:38:30Future of Infrastructure and Agent Management

00:47:28Outro

TRANSCRIPT 🔗

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