# io.github.mikhae1/kubeview

> Use this tool when you need to analyze Kubernetes clusters using code-driven AI methods. It provides a read-only Model Context Protocol (MCP) server, enabling the examination of cluster data without modifying it. Ideal for use cases requiring in-depth cluster inspection and AI-powered insights, with input from Kubernetes cluster data and output to AI analysis tools.

Canonical page: https://skillsregistry.net/skills/io-github-mikhae1-kubeview  
JSON: https://api.skillsregistry.net/v1/skills/io-github-mikhae1-kubeview

## Description

Read-only Model Context Protocol MCP server enabling code-driven AI analysis of Kubernetes clusters.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.4.4
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.mikhae1%2Fkubeview)
- **Repository:** <https://github.com/mikhae1/kubeview-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": "io-github-mikhae1-kubeview"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-mikhae1-kubeview` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-mikhae1-kubeview/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