Conversational AI has captured widespread attention, but the true potential of AI lies well beyond chatbots and dialogue systems. As enterprises look to build intelligent, adaptive systems, the ability to provide real-time, contextual understanding becomes essential. This is where Model Context Providers (MCPs) come in — systems designed to dynamically supply AI models with the contextual signals they need to make relevant, timely, and intelligent decisions.

In this talk, we’ll explore the evolving role of MCPs in modern AI architectures and how they can be used not just to improve inference quality, but also to intelligently manage and orchestrate Kubernetes environments. By integrating context-aware models with cloud-native infrastructure, organizations can unlock powerful capabilities — from self-tuning systems and adaptive resource allocation to AI-driven automation across the stack.

We’ll dive into: - What MCPs are and why they matter beyond chat interfaces - How to build MCP server - How MCP can be used for managing Kubernetes cluster - How to integrate MCP with tools vscode, Claude, etc.

Aditya is a Senior Software Engineer at Walmart. As a proud CNCF Kubestronaut, he holds multiple Kubernetes certifications that showcase his deep expertise in the ecosystem. Beyond his work, Aditya actively shares his insights through his YouTube channel, creating tutorials on cloud technologies and software engineering, and writes technical blog posts to help others navigate and master these domains.