# Audio Separation MCP Server

> Use this tool when you need to separate audio sources into vocals and instruments, solving problems like music remixing, vocal isolation, and instrument extraction. It takes audio files as input and outputs separated vocal and instrument tracks, utilizing ComfyUI MelBandRoFormer models through a set of MCP tools. Ideal for music producers, audio engineers, and DJs looking to isolate or remix specific audio components.

Canonical page: https://skillsregistry.net/skills/tyrelcb-audio-sep-mcp  
JSON: https://api.skillsregistry.net/v1/skills/tyrelcb-audio-sep-mcp

## Description

Enables audio source separation into vocals and instruments using ComfyUI MelBandRoFormer models via a set of MCP tools.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/r1nf1wdqze)
- **Repository:** <https://github.com/TyrelCB/audio-sep-mcp>

## 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": "tyrelcb-audio-sep-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tyrelcb-audio-sep-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tyrelcb-audio-sep-mcp/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