# TrueNAS SCALE by drewid74

> Use this tool when you need to manage and monitor TrueNAS SCALE systems remotely, solving problems such as complex storage management, container orchestration, and system performance optimization. It provides a clean interface for inputs like JSON-RPC requests and outputs like real-time system metrics, with capabilities including ZFS pool management and Docker app lifecycle control. This tool is ideal for use cases requiring direct, programmatic access to TrueNAS SCALE systems over LAN or WebSocket connections.

Canonical page: https://skillsregistry.net/skills/gh-drewid74-truenas-scale  
JSON: https://api.skillsregistry.net/v1/skills/gh-drewid74-truenas-scale

## Description

Provides LLM clients with direct access to TrueNAS SCALE systems through clean, composable tool calls. Covers ZFS pool management, Docker app lifecycle, system health monitoring, network configuration, and performance metrics via WebSocket JSON-RPC. Exposes SSE transport for LAN access.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-drewid74-truenas-scale)
- **Repository:** <https://github.com/drewid74/truenas-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": "gh-drewid74-truenas-scale"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-drewid74-truenas-scale` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-drewid74-truenas-scale/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