Multi-Cluster MCP server
About
A gateway for GenAI systems to interact with multiple Kubernetes clusters through the MCP.
Details
- Author
- yanmxa
- GitHub stars
- 4
- Downloads
- 162
- Categories
- Cloud Service, Infrastructure, Other
Jump to
- Retrieve resources from the hub cluster (current context)
- Retrieve resources from 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, and Add-ons
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Multi-Cluster MCP serverCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Configure the server in your MCP client using the JSON snippet with npx -y multicluster-mcp-server@latest. Ensure kubectl is installed and that the KUBECONFIG environment variable points to the hub cluster. The server accesses managed clusters through the hub cluster.
clusters
Retrieves a list of Kubernetes clusters (also known as managed clusters or spoke clusters).
connect_cluster
Generates the KUBECONFIG for the managed cluster and binds it to the specified ClusterRole (default: cluster-admin).
kubectl
Securely run a kubectl command or apply YAML. Provide either 'command' or 'yaml'.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"multi-cluster mcp server": {
"multicluster-mcp-server": {
"command": "npx",
"args": [
"-y",
"multicluster-mcp-server@latest"
]
}
}
}
}McpServers
{
"multicluster-mcp-server": {
"command": "npx",
"args": [
"-y",
"multicluster-mcp-server@latest"
]
}
}A gateway for GenAI systems to interact with multiple Kubernetes clusters through the MCP.
TheOCM MCP Serverprovides 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.
🛠️ MCP Tools - Kubernetes Cluster Awareness
-
✅ Retrieve resources from thehub cluster(current context)
✅ Retrieve resources from themanaged clusters
✅ Connect to amanaged clusterusing a specifiedClusterRole
✅ Access resources across multiple Kubernetes clusters(via Open Cluster Management)
🔄 Retrieve and analyzemetrics, logs, and alertsfrom integrated clusters
❌ Interact with multi-cluster APIs, including Managed Clusters, Policies, Add-ons, and more
📦 Prompt Templates for Open Cluster Management(Planning)
- Provide reusable prompt templates tailored for OCM tasks, streamlining agent interaction and automation
📚 MCP Resources for Open Cluster Management(Planning)
- 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:Ensurekubectlis installed. By default, the tool uses theKUBECONFIGenvironment variable to access the cluster. In a multi-cluster setup, it treats the configured cluster as thehub cluster, accessing others through it.
This project is licensed under theMIT License.
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