Integrations

Used for demonstrating multi-cluster Kubernetes operations through recorded terminal sessions that can be viewed within the documentation.
Provides full support for kubectl operations to interact with Kubernetes clusters, allowing creation, updating, and listing of resources such as Deployments, Pods, and Services across multiple clusters.
Provides platform-specific configuration instructions for installing and configuring the MCP server on macOS systems.

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).

📊 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

❌ 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.

This server cannot be installed

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security - not tested

F

license - not found

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quality - not tested

A gateway for Generative AI systems to interact with multiple Kubernetes clusters through Model Context Protocol, enabling comprehensive Kubernetes resource operations and multi-cluster management.