Skip to main content

Multi-Cluster MCP Server

54

1

Overview InspectNew Schema Related Servers Reviews Score

Need Help?View Source Code Report Issue

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.

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 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

📌 How to Use

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.

License

This project is licensed under the MIT License.

This server cannot be installed

-

security - not tested

F

license - not found

-

quality - not tested

local-only server

The server can only run on the client's local machine because it depends on local resources.

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.

Related MCP Servers

mcp-server-kubernetes
Flux159
A
security
A
license
A
quality
TypeScript implementation of Kubernetes cluster operations for pods, deployments, services.
Last updated -
9
1,964
505
TypeScript
MIT License
kube-mcp
lochgeo
-
security
A
license
-
quality
An MCP server that enables interaction with Kubernetes/Minikube clusters through natural language, allowing AI agents like Codename Goose to manage Kubernetes resources via the Model Context Protocol.
Last updated -
Python
MIT License
MCP Kubernetes Server
abhijeetka
-
security
F
license
-
quality
A server that enables LLMs to manage Kubernetes clusters through natural language commands, wrapping kubectl operations to provide a simplified interface for common Kubernetes tasks.
Last updated -
3
Python
Kubectl MCP Tool
rohitg00
-
security
A
license
-
quality
A Model Context Protocol server that enables AI assistants to interact with Kubernetes clusters through natural language, supporting core Kubernetes operations, monitoring, security, and diagnostics.
Last updated -
417
Python
MIT License

View all related MCP servers

Appeared in Searches

New MCP Servers

ID: aledxyazkx