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Multi-Cluster MCP Server

by yanmxa

Multi-Cluster 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

🛠️ MCP Tools - Kubernetes Cluster Awareness

  • ✅ 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 morealt text

📦 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

📌 How to Use

  • Use with MCP Inspector
mcp dev ./src/multicluster_mcp_server/__main__.py

Configure the server using the following snippet:

{ "mcpServers": { "multicluster-mcp-server": { "command": "uvx", "args": [ "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.

License

This project is licensed under the MIT License.

Install Server
A
security – no known vulnerabilities
F
license - not found
A
quality - confirmed to work

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

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.

  1. 🚀 Features
    1. 🛠️ MCP Tools - Kubernetes Cluster Awareness
    2. 📦 Prompt Templates for Open Cluster Management (Planning)
    3. 📚 MCP Resources for Open Cluster Management (Planning)
    4. 📌 How to Use
  2. License

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