Multicluster MCP server
The Multi-Cluster 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.
Features
Kubernetes Cluster Operations
Fully supports
kubectl
to interact with your cluster
Create, update, and list resources (Deployments, Pods, Services, etc.)
Create, update, and retrieve resources based on the CRD (the tool retrieves and compresses the CRD, preserving all information while reducing tokens for the LLM).
Kubernetes Operations
Cluster Observability
Retrieve and analyze metrics, logs, and alerts from integrated clusters
Multi-Cluster Management (via Open Cluster Management)
Access and manage resources across multiple Kubernetes clusters
Mutiple Kubernetes Operations
Interact with multi-cluster APIs, including Managed Clusters, Policies, Add-ons, and more
Installation
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.
To use with Claude Desktop, add the server config:
On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
On Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"y": {
"command": "/path/to/multicluster-mcp-server/build/index.js"
}
}
}
License
This project is licensed under the MIT License.
Multi-Cluster MCP Server
Project Details
- yanmxa/multicluster-mcp-server
- multicluster-mcp-server
- Last Updated: 3/13/2025
Categories
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