# beatos

> beatos — averatec0773-beatos. Use this tool when you need to efficiently catalog and publish your music library across multiple platforms. Beatos solves the problem of manual music tagging and publishing by utilizing AI-driven cataloging and MCP server integration. It accepts music files as input and outputs tagged and published music catalogs, ideal for music producers seeking streamlined music management and distribution.

Canonical page: https://skillsregistry.net/skills/averatec0773-beatos  
JSON: https://api.skillsregistry.net/v1/skills/averatec0773-beatos

## Description

Local-first beat library built for producers — catalog, BPM/key analysis, license tiers & PDFs, tagged-MP3 + loopkit export, and assisted multi-platform publishing. Chat with your catalog via a built-in AI Agent (Claude · ChatGPT · DeepSeek), or wire it to any MCP client. Desktop + web.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** media
- **Updated:** 2026-09-22

## Source

- **Source listing:** [GitHub](https://github.com/averatec0773/beatos)

## 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": "averatec0773-beatos"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/averatec0773-beatos` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/averatec0773-beatos/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