The Open Cluster Management MCP Server provides a robust gateway for Generative AI (GenAI) systems to interact with multiple Kubernetes clusters through the Model Context Protocol (MCP). It enables comprehensive operations on Kubernetes resources, streamlined multi-cluster management, and delivered interactive cluster observability. The server exposes MCP Tools for Kubernetes cluster awareness, including retrieving resources from the hub cluster (current context) and from managed clusters, connecting to a managed cluster using a specified ClusterRole, and accessing resources across clusters via Open Cluster Management. It supports retrieval and analysis of metrics, logs, and alerts from integrated clusters, enabling observability across the deployment. The project also offers prompt templates for planning Open Cluster Management tasks and MCP resources to support development and integration. Usage guidance shows how to configure the server, with kubectl as a prerequisite, and KUBECONFIG used by default to access the hub cluster. In multi-cluster setups, the hub cluster serves as the gateway to access other clusters through OCM.