# Arr Assistant (Radarr/Sonarr)

> Use this tool when you need to manage your media library with ease, leveraging natural language commands to search, add, and monitor movies and TV shows across Radarr and Sonarr systems. It solves problems of manual content management and API key setup, providing a conversational interface for home media automation and AI-powered workflows. Ideal for users with self-hosted Plex or Jellyfin setups, it streamlines media acquisition and organization with existing integrations and automatic root folder detection.

Canonical page: https://skillsregistry.net/skills/omniwaifu-arr-assistant  
JSON: https://api.skillsregistry.net/v1/skills/omniwaifu-arr-assistant

## Description

This MCP server provides AI assistants with natural language access to Radarr and Sonarr media management systems, built by Justin Malloy using Python with FastMCP and httpx for HTTP communication. The implementation offers six tools for searching movies and TV shows using each service's built-in TMDb/TVDB lookup capabilities, adding content with automatic root folder detection, and monitoring server connectivity status, eliminating the need for external API keys by leveraging the media servers' existing integrations. Designed for home media automation enthusiasts managing self-hosted Plex/Jellyfin setups, users wanting conversational interfaces for adding content to their media libraries, and developers building AI-powered home automation workflows that integrate with the *arr ecosystem for streamlined media acquisition and organization.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/omniwaifu-arr-assistant)
- **Repository:** <https://github.com/omniwaifu/arr-assistant-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": "omniwaifu-arr-assistant"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/omniwaifu-arr-assistant` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/omniwaifu-arr-assistant/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
