The OCM MCP Server provides a robust gateway for Generative AI (GenAI) systems to interact with multiple Kubernetes clusters through the Model Context Protocol (MCP). It facilitates comprehensive operations on Kubernetes resources, streamlined multi-cluster management, and delivered interactive cluster observability.

• ✅ Retrieve resources from the hub cluster (current context)

• ✅ Retrieve resources from the managed clusters

• ✅ Connect to a managed cluster using a specified ClusterRole

• ✅ Access resources across multiple Kubernetes clusters(via Open Cluster Management)

• 🔄 Retrieve and analyze metrics, logs, and alerts from integrated clusters

• ❌ Interact with multi-cluster APIs, including Managed Clusters, Policies, Add-ons, and more

  

  Mutiple Kubernetes Clusters Operations

  

• Provide reusable prompt templates tailored for OCM tasks, streamlining agent interaction and automation

• Reference official OCM documentation and related resources to support development and integration

Configure the server using the following snippet:

{ "mcpServers": { "multicluster-mcp-server": { "command": "npx", "args": [ "-y", "multicluster-mcp-server@latest" ] } } }

Note: Ensure kubectl is installed. By default, the tool uses the KUBECONFIG environment variable to access the cluster. In a multi-cluster setup, it treats the configured cluster as the hub cluster, accessing others through it.

This project is licensed under the MIT License.