Simplify Kubernetes management with K8s MCP Server

Supercharge your Kubernetes experience with AI! Discover how AI agents and Model Context Protocol (MCP) can transform your Kubernetes management from complex to effortless. See a demo where LLMs + K8s MCP server help eliminate the YAML headaches and accelerate your DevOps workflow.

This session explains the basics of Model Context Protocol (MCP) protocol, and explores how MCP decouples AI agents from servers, allowing for seamless integration with cloud resources and remote functionality. We will walk through a real-world use case and see how LLM + K8s MCP server will revolutionise the way we manage Kubernetes clusters and improve productivity of your DevOps team. Session will feature a demo using Amazon Q CLI (a Claude 4-powered AI agent) integration with the Amazon EKS MCP Server.

I’m a member of the Container Specialist Technical Field Community (TFC) within AWS ANZ. I’m a Certified Kubernetes Security Specialist (CKS) and Certified Kubernetes Administrator (CKA), and I’ve been using K8s since 2018 (v1.10). My previous K8s experience outside AWS including a Principle Platform Engineer role at Commonwealth Bank of Australia (CBA).

Here are some of my recent content/asset published within the K8s space.

• Deep dive into cluster networking for Amazon EKS Hybrid Nodes
• Run Virtual Machine workloads with KubeVirt on Amazon EKS Hybrid Nodes
• Build a GitOps CD pipeline using GitHub, NKE and Argo CD