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KubeSphere MCP Server

KubeSphere MCP Server

Local
github.com/kubesphereCloud & Infra17Updated 77w ago

About KubeSphere MCP Server

KubeSphere MCP Server connects AI agents to KubeSphere APIs to retrieve and manage platform resources. Its tools are organized around workspaces, clusters, users and roles, and the Extensions Center.

Key features

  1. 01Workspace management tools
  2. 02Cluster management tools
  3. 03User and role tools
  4. 04Extensions Center tools
  5. 05KubeSphere API access

Use cases

  1. 01Retrieve resources from a KubeSphere cluster
  2. 02Work with workspace and cluster operations
  3. 03Access user and role functions
  4. 04Use Extensions Center functions through an AI agent

MCP support

It exposes KubeSphere API capabilities as MCP tools for AI agents, grouped into workspace, cluster, user and role, and Extensions Center modules.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

KubeSphere MCP Server

The KubeSphere MCP Server is a Model Context Protocol(MCP) server that provides integration with KubeSphere APIs, enabling to get resources from KubeSphere. Divided into four tools modules: Workspace Management, Cluster Management, User and Roles, Extensions Center.

Prerequisites

You must have a KubeSphere cluster. contains: Access Address, Username, Password.

Installation

Generate KSConfig

The format is similar to kubeconfig. This configuration contains HTTP connector information. The default context for KubeSphere is kubesphere, which can be modified via the environment variable KUBESPHERE_CONTEXT.

apiVersion: v1
clusters:
- cluster:
    certificate-authority-data: <CA file>
    server: <Server Address>
  name: kubesphere
contexts:
- context:
    cluster: kubesphere
    user: admin
  name: kubesphere
current-context: kubesphere
kind: Config
preferences: {}
users:
- name: admin
  user:
    username: <KubeSphere Username>
    password: <KubeSphere Password>

<CA file>: Optional. Fill in the CA certificate in base64-encoded format when KubeSphere is accessed via HTTPS.
<Server Address>: Required Must be an HTTPS address. (If using HTTP, enter any HTTPS address here, then modify via the parameter --ks-apiserver http://xxx)
<KubeSphere Username>: Required The user for the KubeSphere cluster.
<KubeSphere Password>: Required The password for the KubeSphere cluster user.

Get ks-mcp-server binary

you can run command go build -o ks-mcp-server cmd/main.go or download from (github releases)[https://github.com/kubesphere/ks-mcp-server/releases] and then move it to $PATH.

Configuration MCP Server in AI Agent
Claude Desktop
  1. According to Claude Desktop should change the MCP Configuration. like:
{
  "mcpServers": {
    "KubeSphere": {
      "args": [
        "stdio",
        "--ksconfig", "<ksconfig file absolute path>",
        "--ks-apiserver", "<KubeSphere Address>"
      ],
      "command": "ks-mcp-server"
    }
  }
}

<ksconfig file absolute path>: Required The absolute path of the ksconfig file.
<KubeSphere Address>: Optional (but required for HTTP access) The access address of the KubeSphere cluster, supporting either the ks-console or ks-apiserver service address (e.g., http://172.10.0.1:30880).

  1. chat with mcp server claude desktop result
Cursor
  1. According to Curosr should change the MCP Configuration. like:
{
  "mcpServers": {
    "KubeSphere": {
      "args": [
        "stdio",
        "--ksconfig", "<ksconfig file absolute path>",
        "--ks-apiserver", "<KubeSphere Address>"
      ],
      "command": "ks-mcp-server"
    }
  }
}

<ksconfig file absolute path>: Required The absolute path of the ksconfig file.
<KubeSphere Address>: Optional (but required for HTTP access) The access address of the KubeSphere cluster, supporting either the ks-console or ks-apiserver service address (e.g., http://172.10.0.1:30880).

  1. chat with mcp server cursor result

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