Audio Separation MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Audio Separation MCP Serverseparate vocals and instruments from track.wav"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Audio Separation MCP Server
Streamable MCP server for ComfyUI MelBandRoFormer audio source separation.
Tools
Tool | Description |
| Check ComfyUI backend status |
| List available MelBandRoFormer models |
| Submit audio file for separation |
| Get job status/results |
| Cancel a running job |
| List all stored artifacts |
| Download artifact by name |
Related MCP server: ComfyUI MCP Server
Running
MCP Server (streamable-http)
cd /home/tyrel/projects/audio-sep-mcp
AUDIOSEP_MCP_PORT=8769 python mcp_server.py # serves on http://localhost:8769/mcpNote: default port 8765 collides with other local MCP servers — the systemd service below overrides it to 8769.
With Gradio UI
python app.py # serves on :8767systemd (user services)
Both services are managed as systemd user units and start automatically (linger enabled):
systemctl --user status audio-sep-mcp.service audio-sep-gradio.service
systemctl --user restart audio-sep-mcp.service audio-sep-gradio.service
journalctl --user -u audio-sep-mcp.service -fUnit files: ~/.config/systemd/user/audio-sep-mcp.service, ~/.config/systemd/user/audio-sep-gradio.service.
Environment Variables
Variable | Default | Description |
|
| ComfyUI backend URL |
|
| MCP server port (systemd service overrides to |
|
| Working directory |
|
| Workflow file |
|
| Artifact cleanup age |
Supported Input Formats
wav, mp3, flac, ogg, aac, m4a, mp4, webm
Output
Splits audio into vocals.wav and instruments.wav in ~/Documents/audio-sep-output/artifacts/<job_id>/.
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Maintenance
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If you are the server author, to access and configure the admin panel.
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