# com.gaudiolab/mcp-developers

> Use this tool when you need to separate audio stems, isolate dialogue, music, and effects, or synchronize text with audio using AI-powered technology. It solves problems in audio post-production, music remixing, and accessibility by providing isolated audio components and accurate text alignment. The tool takes in audio files and text as input and outputs separated stems and synchronized text.

Canonical page: https://skillsregistry.net/skills/com-gaudiolab-mcp-developers  
JSON: https://api.skillsregistry.net/v1/skills/com-gaudiolab-mcp-developers

## Description

Gaudio Lab Audio AI — Stem Separation, DME Separation, AI Text Sync

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-05-09

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.gaudiolab%2Fmcp-developers)

## 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": "com-gaudiolab-mcp-developers"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-gaudiolab-mcp-developers` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-gaudiolab-mcp-developers/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