Running AI MCP Tools on Kubernetes with kagent
About this episode
Bret and Nirmal discuss AI agents in Kubernetes with Eitan Yarmush, covering the kagent project and the Model Context Protocol.
Bret and Nirmal explore AI agents in Kubernetes with Eitan Yarmush, Senior Architect at Solo.io. Eitan explains how AI agents work through three simple components (system prompts, LLMs, and tools), and demonstrates the kagent project, which provides a Kubernetes-native way to deploy and manage AI workflows. 🙌 The Agentic DevOps Guild has launched! It's a training + community + mentorship program for engineers wanting to learn the latest CI/CD automation and dive into Agentic DevOps. Meetups are happening now, with new course videos dropping every few weeks. Join the Guild and become your team's leader in AI for infrastructure automation https://www.bretfisher.com/theguild 🍾 Also in this episode, we cover the Model Context Protocol (MCP), which standardizes how agents communicate with external tools, along with practical use cases like incident response, debugging workflows, and CI/CD integration. Eitan shows how to create an agent through a web interface. We also address the challenges including security concerns (MCP lacks built-in security standards), cost considerations, and technical limitations like context window constraints. Check out the video podcast version here…
People in this episode
Hosts: Bret Fisher, Nirmal Mehta
Guest: Eitan Yarmush
Topics covered
- AI agents
- Kubernetes
- CI/CD automation
- infrastructure automation
- incident response
- debugging workflows
Keywords
- AI agents
- Kubernetes
- kagent
- Model Context Protocol
- CI/CD
- infrastructure automation
- incident response
- debugging
Mentioned in this episode
Organizations: Solo.io, Agentic DevOps Guild
Products: kagent, Model Context Protocol (MCP)
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