# mcp-arrstack

> mcp-arrstack — indlns-mcp-arrstack. Use this tool when you need to manage a home media stack with local Large Language Models (LLMs) and integrate with services like Radarr, Sonarr, and Prowlarr. It enables seamless control and automation of media management tasks, solving problems like content discovery and organization. The mcp-arrstack server takes in user inputs and media library data, outputting optimized media recommendations and automated workflows.

Canonical page: https://skillsregistry.net/skills/indlns-mcp-arrstack  
JSON: https://api.skillsregistry.net/v1/skills/indlns-mcp-arrstack

## Description

MCP server that enables local LLMs to manage a home media stack including Radarr, Sonarr, Prowlarr, and others.

## Trust

- **Trust score (0–1):** 0.57
- **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/s30ghwsygy)
- **Repository:** <https://github.com/indlns/mcp-arrstack>

## 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": "indlns-mcp-arrstack"
    }
  }
}
```

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