# k8s-mcp-server

> Use this tool when you need to manage and interact with Kubernetes clusters using natural language conversations. It solves problems related to cluster inspection and operation, providing a safe and intuitive interface for AI assistants to input commands and receive output in a conversational format. Ideal for use cases where human-like interaction with Kubernetes clusters is required, enabling efficient and user-friendly cluster management.

Canonical page: https://skillsregistry.net/skills/sarah-salah-k8s-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/sarah-salah-k8s-mcp-server

## Description

An MCP server that lets AI assistants safely inspect and operate on Kubernetes clusters through natural conversation.

## Trust

- **Trust score (0–1):** 0.89
- **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/myt3pt77p0)
- **Repository:** <https://github.com/Sarah-Salah/k8s-mcp-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": "sarah-salah-k8s-mcp-server"
    }
  }
}
```

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