# Yarr MCP

> Yarr MCP — ai-dinglebear-yarr. Use this tool when you need to manage and automate your media library across multiple platforms, solving problems of disjointed media collections and streamlining operations. It integrates with Sonarr, Radarr, Plex, and other related apps, accepting inputs via MCP and CLI to output a unified media fleet operation. Ideal for use in home media servers or large media collections requiring centralized management.

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

## Description

Self-hosted media fleet operations across Sonarr, Radarr, Plex, and related apps over MCP and CLI.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 2.2.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

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

## 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-yarr"
    }
  }
}
```

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