Gaudio Developers MCP

Community Media and design

Gaudio audio AI API: stem separation (vocals, drums, bass, guitar, piano), dialogue/music/effects separation and AI lyrics sync.

Install

The installation steps are in the documentation below. Documentation

Documentation

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

Contents
  1. @gaudiolab/mcp-developers
  2. Get Your API Key
  3. Quick Start
  4. Tools
  5. Models
  6. Supported Formats
  7. How It Works
  8. Links
  9. License

@gaudiolab/mcp-developers

MCP server for Gaudio Lab Audio AI API. Separate vocals, instruments, dialogue, music, effects from any audio/video — or sync lyrics to timestamps — all through natural language in your AI tools.

Works with Claude, ChatGPT, Cursor, VS Code, GitHub Copilot, and any MCP-compatible client.

Get Your API Key

  1. Sign up at Gaudio Developers
  2. Create a project and get your API key from the dashboard

Quick Start

Add to your MCP client config:

{
  "mcpServers": {
    "gaudio": {
      "command": "npx",
      "args": ["-y", "@gaudiolab/mcp-developers"],
      "env": {
        "GAUDIO_API_KEY": "your-api-key-here"
      }
    }
  }
}

Then just ask in natural language:

  • "Separate the vocals from this file"
  • "Extract the dialogue from this video"
  • "Sync these lyrics to this song"
  • "What models are available?"
  • "How many credits do I have left?"

Tools

ToolDescription
gaudio_get_key_infoGet API key info: credits, project, permitted models
gaudio_list_modelsList available AI models by category
gaudio_upload_fileUpload audio/video/text file (multipart, auto-chunked)
gaudio_create_jobCreate a processing job
gaudio_get_jobCheck job status and get download URLs
gaudio_separate_audioAll-in-one: upload → process → download URLs
gaudio_sync_lyricsAll-in-one lyrics sync with timestamps

Models

Stem Separation
ModelDescriptionType Options
gsep_music_hq_v1Multi-instrument separationvocal, drum, bass, electric_guitar, acoustic_piano
gsep_music_shq_v1Super HQ vocal + accompanimentvocal
gsep_speech_hq_v1Speech / noise removalspeech

Max: 1GB / 20 min per file. Types can be combined (e.g. vocal,drum).

DME Separation (Dialogue, Music, Effects)
ModelDescription
gsep_dme_dtrack_v1Dialogue extraction
gsep_dme_d2track_v1Dialogue + vocals
gsep_dme_metrack_v1Music + effects
gsep_dme_me2track_v1Music + effects v1
gsep_dme_me2track_v2Music + effects v2 (high quality)
gsep_dme_mtrack_v1Music only
gsep_dme_etrack_v1Effects only

Max: 10GB / 200 min per file.

AI Text Sync
ModelDescriptionLanguages
gts_lyrics_line_v1Lyrics line syncen, ko, ja, zh-cn

Max: 1GB / 10 min. Text: .txt (UTF-8), min 2 lines, max 60 chars/line.

Output: CSV (timestamp, lyric_text, confidence_score) + JSON report.

Supported Formats

TypeFormats
AudioWAV, FLAC, MP3, M4A
VideoMOV, MP4 (audio auto-extracted)
TextTXT (UTF-8)

Output: MP3 (48kHz/320kbps) + WAV (same as input). Download URLs valid for 48 hours.

How It Works

Upload file → Create job → Poll status → Get download URLs

The high-level tools (gaudio_separate_audio, gaudio_sync_lyrics) handle this entire flow automatically. Upload IDs are valid for 72 hours and can be reused across multiple jobs.

License

MIT

Frequently asked questions

What is Gaudio Developers MCP?

Gaudio audio AI API: stem separation (vocals, drums, bass, guitar, piano), dialogue/music/effects separation and AI lyrics sync.

How do I install Gaudio Developers MCP?

Follow the installation steps in its documentation, shown on this page and in its repository.

Is Gaudio Developers MCP open source?

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

Who maintains Gaudio Developers MCP?

It is published by gaudiolab-jp. AI.tn lists it but does not maintain or endorse it.

From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.