# pi-controller-mcp

> Use this tool when you need to manage Raspberry Pi K3s clusters efficiently, as it solves problems related to cluster orchestration and automation by providing a centralized MCP server interface that takes input from AI assistants and outputs cluster management commands, ideal for use cases requiring streamlined cluster control and monitoring. It is particularly useful in contexts where automated cluster management is crucial, such as in edge computing or IoT deployments.

Canonical page: https://skillsregistry.net/skills/dsyorkd-pi-controller-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dsyorkd-pi-controller-mcp

## Description

MCP server for managing Raspberry Pi K3s clusters via AI assistants like Claude Code.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j3ibjopq4c)
- **Repository:** <https://github.com/dsyorkd/pi-controller-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": "dsyorkd-pi-controller-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dsyorkd-pi-controller-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dsyorkd-pi-controller-mcp/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