Remove vocals, split stems, clean up recordings and more — right inside Claude, Cursor or ChatGPT. Just say what you want and get the finished file back.
Set it up in under a minute — then let your assistant do the work.
Once connected, type what you want — your assistant calls the right tool and hands back a download link.
Other things you can ask
"Take these 12 practice recordings, convert each to MP3, then remove the vocals" runs end-to-end in a single agent session — convert, separate, poll, return 12 links. No app-switching, no glue code.
Many audio MCP servers ship older, open-source separation models. We run our own models — the same ones powering vocalremover.com — with a restoration pass on top.
Our flagship separation for cleaner vocals and instrumentals on complex mixes.
Splits a track into vocals, drums, bass, guitar and piano stems.
Restores clarity and detail to processed or low-quality audio.
The easiest way is a one-click connector in ChatGPT or Claude.ai — sign in and approve, no API key to paste.
In ChatGPT: Settings → Apps → enable Developer mode → Create app, then paste the server URL into the Connection field. In Claude.ai: Settings → Connectors → Add custom connector.
Drop this address into the connector URL field:
https://vocalremover.com/mcp/audio
You are sent to VocalRemover to sign in (or start your free trial) and approve access — nothing to paste.
Type "remove the vocals from this track" and your assistant calls the tool and returns a download link. That's it.
For Claude Desktop, Cursor, Windsurf, Cline, Zed and Claude Code — add the server with a Bearer API token.
Start your free trial to create your account, then copy your API token from the API page and paste it into the config below.
Add to claude_desktop_config.json, then restart Claude.
{
"mcpServers": {
"vocalremover": {
"command": "npx",
"args": [
"-y", "mcp-remote", "https://vocalremover.com/mcp/audio",
"--header", "Authorization:${AUTH}"
],
"env": { "AUTH": "Bearer YOUR_API_TOKEN" }
}
}
}
Native remote MCP — add to the client's mcp.json.
{
"mcpServers": {
"vocalremover": {
"url": "https://vocalremover.com/mcp/audio",
"headers": {
"Authorization": "Bearer YOUR_API_TOKEN"
}
}
}
}
One command — native remote MCP, no bridge.
claude mcp add --transport http \
vocalremover https://vocalremover.com/mcp/audio \
-H "Authorization: Bearer YOUR_API_TOKEN"
Your audio is fetched from the URL you pass, processed, and deleted — nothing is stored. Your access is scoped to your account and can be revoked any time.
Need details? Read the full documentation
Convert, trim, extract and clean up audio as much as you like — completely free.
Studio-grade vocal removal and stem splitting, right inside your assistant. Start with a free trial.
Set it up in 60 secondsTurn any song into an instrumental on command.
De-reverb and denoise voice recordings in one step.
Pull clean stems for remixing and sampling.
Batch-process whole folders inside a single agent run.
An MCP (Model Context Protocol) server lets AI assistants like Claude or Cursor use audio tools as native capabilities. You simply type "remove the vocals from this track" and the assistant does it — no app switching, no manual uploads.
You can start for free. Lots of audio tools — format conversion, trimming, extracting audio from video and more — are free to use, and you can try the AI tools (vocal removal, stem separation, denoise, de-reverb) with a free trial.
Claude Desktop, Claude Code, Cursor, Cline, Windsurf, Zed and the Anthropic Messages API connect with your Bearer token directly. The same processing is also available through our REST API.
Yes. In ChatGPT, open Settings → Apps, enable Developer mode, choose Create app and paste the server URL into the Connection field; Claude.ai adds it under Settings → Connectors. You sign in to VocalRemover and approve access via OAuth — no token to paste.
Yes. It is built on the open Model Context Protocol, so it works in any compatible client — a standard connector, not a proprietary plugin.
Your audio is processed and then deleted immediately — we do not store it, whether you pass a link or upload it directly. Your access is scoped to your account and can be revoked any time.
Our AI separation runs on our own state-of-the-art models — HQ Fusion, Vocals HQ and Multi-stem HQ — with a Vocal Restoration pass for extra clarity. Many other audio MCP servers ship older open-source models.
MP3, WAV, FLAC, M4A, OGG, AAC and OPUS audio, plus common video formats (MP4, MKV, MOV, AVI) for audio extraction. Pass files as a public link or upload them directly (base64), up to 100 MB each.
Yes — that is a first-class use case. MCP is built for agent orchestration, so you can chain audio tasks across many files in a single agent run, for example "separate vocals from every track in this folder".
Yes. Ask your assistant to "remove the vocals" or "give me the instrumental" and it returns a karaoke-ready backing track. You can do this for a single song or batch a whole folder in one agent run.
Yes. The denoise and de-reverb tools remove room sound and background noise from voice recordings, which is ideal for podcasters, voiceover artists and transcription pipelines.
Not for ChatGPT or the Claude.ai web app — you add the server as a custom connector and sign in with OAuth, so there is no key to paste. For clients like Claude Desktop, Cursor or Cline you generate a token on the API page and add it as a Bearer token. New accounts get credits to test the AI tools.
Connect the server to your AI assistant and let Claude, Cursor or ChatGPT edit audio for you.
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