# mcp-kubernetes

> mcp-kubernetes — azure-mcp-kubernetes. Use this tool when you need to integrate AI assistants with Kubernetes clusters, enabling seamless interaction and automation of containerized applications. It solves problems of compatibility and communication between AI tools and Kubernetes, providing a bridge for efficient deployment and management. The mcp-kubernetes server takes in AI tool requests and outputs Kubernetes cluster interactions, streamlining workflows and enhancing productivity.

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

## Description

A Model Context Protocol (MCP) server that enables AI assistants to interact with Kubernetes clusters. It serves as a bridge between AI tools (like Claude, Cursor, and GitHub Copilot) and Kubernetes

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** version-control
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/Azure/mcp-kubernetes)

## 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": "azure-mcp-kubernetes"
    }
  }
}
```

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