# Unraid RMCP

> Unraid RMCP — ai-dinglebear-unraid. Use this tool when you need to manage and automate Unraid workflows across NAS, Docker, VM, and storage operations. It provides a Rust-based MCP server and CLI for executing GraphQL operations, solving problems related to complex workflow management and automation. Ideal for use cases requiring streamlined control over multiple Unraid components, it accepts GraphQL queries as input and returns relevant data as output.

Canonical page: https://skillsregistry.net/skills/ai-dinglebear-unraid  
JSON: https://api.skillsregistry.net/v1/skills/ai-dinglebear-unraid

## Description

Rust MCP server and CLI for Unraid GraphQL operations across NAS, Docker, VM, and storage workflows.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 0.3.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.dinglebear%2Funraid)
- **Repository:** <https://github.com/dinglebear-ai/unraid>

## 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": "ai-dinglebear-unraid"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ai-dinglebear-unraid` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ai-dinglebear-unraid/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