Empowering LLMs with Kubernetes Context: Smart Troubleshooting via MCP

This session demonstrates how the Model Context Protocol (MCP) transforms Kubernetes troubleshooting by bridging LLMs with cluster infrastructure. We'll show how MCP delivers contextualized data—pod logs, object states, and cluster events—enabling AI to answer complex questions like "Why is my workload restarting?" in natural language.
Attendees will learn how MCP standardizes model-to-API integration, abstracting away API versioning and raw event streams. By providing validated and filtered data streams, the protocol allows LLMs to focus on reasoning and root cause analysis rather than infrastructure complexity.
This approach makes LLMs active participants in the cloud-native ecosystem, opening the door to faster incident resolution, smarter operations, and a new generation of intelligent DevOps assistants.