# yarr

> yarr — dinglebear-ai-yarr. Use this tool when you need to automate media management across multiple platforms, solving problems like content discovery and organization for services like Sonarr, Radarr, and Plex. It provides a command-line interface to interact with various media automation fleets, accepting inputs like configuration settings and outputting automated media management tasks. Use yarr to streamline media workflows, especially when integrating with tools like SABnzbd, qBittorrent, and Jellyfin.

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

## Description

Rust MCP and CLI server for media automation fleets: Sonarr, Radarr, Prowlarr, Tautulli, Overseerr, Bazarr, SABnzbd, qBittorrent, Plex, and Jellyfin.

## Trust

- **Trust score (0–1):** 0.86
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** AGPL-3.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](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": "dinglebear-ai-yarr"
    }
  }
}
```

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