MCP Dev Summit North America

As AI agents become integral to cloud-native architectures, they need a standardized way to discover capabilities available within Kubernetes clusters. Currently, agents must be pre-configured with MCP server endpoints and skill definitions, creating brittleness in dynamic environments where services scale and evolve continuously.
This talk introduces a Kubernetes-native discovery service: a cluster-scoped registry that exposes both MCP servers and Skills through a unified API. By leveraging Kubernetes primitives like CRDs and proven service discovery patterns, we can make agent capabilities first-class citizens in any cluster.
Attendees will learn how to implement a dynamic registry enabling agents to query available MCP servers by capability, discover registered Skills with their metadata, and handle lifecycle changes gracefully. We'll demonstrate a working implementation showing agents dynamically assembling their toolset based on cluster state.
The registry treats MCP servers and Skills as complementary discovery targets. Whether you're running agents in production or just exploring MCP adoption, this talk provides a blueprint for building discoverable agent infrastructure.