# Kubernetes

> Use this tool when you need to manage Kubernetes resources directly within conversations, executing kubectl commands and retrieving their output to streamline DevOps workflows. It solves problems of cluster management and resource allocation, providing a bridge between AI assistants and Kubernetes clusters. The tool takes kubectl commands as input and returns their output, making it ideal for use cases that require seamless integration with Kubernetes clusters without leaving the conversation interface.

Canonical page: https://skillsregistry.net/skills/feiskyer-kubernetes  
JSON: https://api.skillsregistry.net/v1/skills/feiskyer-kubernetes

## Description

MCP Kubernetes Server provides a bridge between AI assistants and Kubernetes clusters through kubectl commands. Developed by Pengfei Ni, this implementation exposes a single tool that executes kubectl commands and returns their output, enabling AI assistants to manage Kubernetes resources directly within conversations. The server runs on stdio transport, making it compatible with Claude Desktop integration, and includes error handling for failed command executions. It's particularly valuable for DevOps workflows that require Kubernetes cluster management without leaving the conversation interface.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-05-27

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/feiskyer-kubernetes)
- **Repository:** <https://github.com/feiskyer/mcp-kubernetes-server>

## 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": "feiskyer-kubernetes"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/feiskyer-kubernetes` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/feiskyer-kubernetes/pull`

---
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