# k3s-mcp-server

> k3s-mcp-server — ry-ops-k3s-mcp-server. Use this tool when you need to manage K3s clusters and perform kubectl operations, solving problems related to cluster management and automation. It provides a Model Context Protocol server interface, accepting git-based inputs and generating outputs for efficient cluster control. Ideal for use cases requiring streamlined kubectl operations and cluster management in Claude environments.

Canonical page: https://skillsregistry.net/skills/ry-ops-k3s-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/ry-ops-k3s-mcp-server

## Description

Model Context Protocol server for K3s cluster management - kubectl operations for Claude

## 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:** other
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/ry-ops/k3s-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": "ry-ops-k3s-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ry-ops-k3s-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ry-ops-k3s-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