# Arr-MCP

> Use this tool when you need to manage and automate your media stack, solving problems like tedious media searching and organization across multiple platforms. It streamlines the process of searching, adding, and managing movies, TV shows, music, and books by integrating with Radarr, Sonarr, Lidarr, Readarr, and Prowlarr. With Arr-MCP, you can efficiently input media requests and receive organized outputs, making it ideal for users with large media collections and multiple indexers.

Canonical page: https://skillsregistry.net/skills/ltmarx-arr-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ltmarx-arr-mcp

## Description

MCP server to manage your *ARR media stack (Radarr, Sonarr, Lidarr, Readarr, Prowlarr) for searching, adding, and managing movies, TV shows, music, books, and indexers.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v5n7z6egqi)
- **Repository:** <https://github.com/LtMarx/Arr-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": "ltmarx-arr-mcp"
    }
  }
}
```

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