# beatlyzer-mcp

> beatlyzer-mcp — profazia-beatlyzer. Use this tool when you need to analyze audio files and extract meaningful musical features. It solves problems such as music classification, recommendation, and visualization by taking audio files as input and returning structured JSON data and visualizations as output. Ideal for use cases like music information retrieval, DJ software, and audio post-production, where detailed audio analysis is required.

Canonical page: https://skillsregistry.net/skills/profazia-beatlyzer  
JSON: https://api.skillsregistry.net/v1/skills/profazia-beatlyzer

## Description

Enables AI agents to analyze audio files, extracting tempo, key, beat drops, volume surges, high tones, loudness, brightness, and structure, and returning structured JSON and visualizations.

## Trust

- **Trust score (0–1):** 0.69
- **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/gsxfvevjzk)
- **Repository:** <https://github.com/Profazia/beatlyzer>

## 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": "profazia-beatlyzer"
    }
  }
}
```

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