# synthseek

> synthseek — arukaraz-synthseek. Use this tool when you need to manage and discover new music in a self-hosted library, solving problems of music organization and discovery. It provides a modern web UI and MCP tools, accepting music files and metadata as inputs and outputting curated playlists and recommendations. Ideal for music enthusiasts and collectors looking to streamline their music library management.

Canonical page: https://skillsregistry.net/skills/arukaraz-synthseek  
JSON: https://api.skillsregistry.net/v1/skills/arukaraz-synthseek

## Description

Self-hosted music discovery library manager with modern web UI, MCP tools and more...

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/arukaraz/synthseek)

## 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": "arukaraz-synthseek"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/arukaraz-synthseek` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/arukaraz-synthseek/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