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io.github.warmcoding/sonicaura-mcp

Official registry Media and design

Remote MCP server for audio stem separation, denoise, and reverb.

Source code Documentation

What can you do with io.github.warmcoding/sonicaura-mcp?

  • Stem separation — split a track into 2, 4, or 6 stems
  • Denoise
  • Reverb — add spatial reverb with presets: vocal_booth, studio_room, bathroom, concert_hall, church

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http sonicaura-mcp 'https://api.sonicaurastudio.com/mcp'
JSON configuration (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "sonicaura-mcp": {
            "type": "http",
            "url": "https://api.sonicaurastudio.com/mcp"
        }
    }
}

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. sonicaura-mcp
  2. What it does
  3. Endpoint
  4. Tools
  5. Usage
  6. Web UI
  7. Credits
  8. License

Smithery

sonicaura-mcp

Remote MCP server for audio stem separation, denoise, and reverb.

What it does

SonicAura processes audio using GPU-accelerated AI:

  • Stem separation — split a track into 2, 4, or 6 stems
    • 2stems: vocals + no_vocals
    • 4stems: vocals + drums + bass + other
    • 6stems: vocals + guitar + bass + drums + piano + other
  • Denoise
    • music_denoise: remove noise from music while keeping the instruments and vocals intact
    • denoise: aggressive speech cleanup for podcasts / interviews / voiceovers
  • Reverb — add spatial reverb with presets: vocal_booth, studio_room, bathroom, concert_hall, church

Endpoint

https://api.sonicaurastudio.com/mcp

Transport: http (Streamable HTTP) Auth: OAuth 2.0

Tools

ToolDescription
list_audio_toolsList available task types and metadata
check_service_statusConfirm service availability and credits
get_upload_urlPresigned URL for files larger than 1 MB
upload_audioBase64 upload for files under 1 MB
process_audioSubmit a task (music_denoise \denoise \reverb \2stems \4stems \6stems)
extract_vocalsShortcut for process_audio with task_type='2stems' — extract vocals and instrumental
check_task_statusPoll a task
get_my_creditsCheck remaining credits

Usage

Add the server to your MCP client config:

{ "mcpServers": { "audio-process": { "type": "http", "url": "https://api.sonicaurastudio.com/mcp"; } } }

Then ask your client things like:

  • "Extract the vocals from this song"
  • "Remove the vocals and keep the instrumental"
  • "Separate this song into 6 stems"
  • "Isolate the guitar track"
  • "Denoise this music but keep the background music"
  • "Clean up the noise in this voice recording"
  • "Add studio reverb to this vocal"

Web UI

Prefer a visual interface? Use the same engine from the browser:

Credits

Processing uses credits. Get an account and credits at https://www.sonicaurastudio.com

License

MIT

Frequently asked questions

What is io.github.warmcoding/sonicaura-mcp?

Remote MCP server for audio stem separation, denoise, and reverb.

How do I install io.github.warmcoding/sonicaura-mcp?

It runs as a remote server. In Claude Code: claude mcp add --transport http sonicaura-mcp 'https://api.sonicaurastudio.com/mcp'. For other clients, paste the JSON configuration from this page into their MCP settings.

Does io.github.warmcoding/sonicaura-mcp need an API key?

Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.

Is io.github.warmcoding/sonicaura-mcp open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains io.github.warmcoding/sonicaura-mcp?

It is published by warmcoding. AI.tn lists it but does not maintain or endorse it.

From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.