# K8s MCP Server

> Use this tool when you need to manage Kubernetes clusters securely and efficiently using natural language commands. It solves problems related to complex cluster operations, such as deployment and configuration, by enabling Large Language Models (LLMs) to execute Kubernetes CLI tools like kubectl and helm. It takes natural language inputs and outputs execution results, making it ideal for use cases that require streamlined Kubernetes management and automation.

Canonical page: https://skillsregistry.net/skills/apecloud-mcp-k8s  
JSON: https://api.skillsregistry.net/v1/skills/apecloud-mcp-k8s

## Description

Enables LLMs like Claude to securely execute Kubernetes CLI tools (kubectl, helm, istioctl, argocd) across multiple clusters through dynamic kubeconfig support, allowing natural language Kubernetes management and operations.

## Trust

- **Trust score (0–1):** 0.53
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/oxfufp5ru6)
- **Repository:** <https://github.com/apecloud/mcp-k8s>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "apecloud-mcp-k8s"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/apecloud-mcp-k8s` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/apecloud-mcp-k8s/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt