# Kubernetes MCP

> Use this tool when you need to manage and interact with Kubernetes resources using natural language commands. It solves problems of complex resource management by providing a simple interface to get, read, and patch resources. The Kubernetes MCP takes natural language inputs and outputs the corresponding Kubernetes resource modifications, making it ideal for streamlining cluster management tasks.

Canonical page: https://skillsregistry.net/skills/yurinnick-kube-mcp  
JSON: https://api.skillsregistry.net/v1/skills/yurinnick-kube-mcp

## Description

An MCP server that enables interaction with Kubernetes resources through natural language interfaces like Goose CLI, allowing users to get, read, and patch Kubernetes resources.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **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/ebi9bx519d)
- **Repository:** <https://github.com/yurinnick/kube-mcp>

## 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": "yurinnick-kube-mcp"
    }
  }
}
```

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