Add CleanAudio to Cursor
Open Cursor Settings → MCP, add a remote server named CleanAudio, paste the connector URL, then click Add and sign in
Use CleanAudio's hosted connector when you want an agent to run supported audio tasks after account sign-in, without installing a desktop editor or maintaining local tooling
Open Cursor Settings → MCP, add a remote server named CleanAudio, paste the connector URL, then click Add and sign in
After signing in, ask Cursor to clean, cut, or transcribe audio
Audacity is a desktop audio editor with a visual workflow. CleanAudio MCP is a hosted connector that lets an AI agent call concrete tools for clean noise, cut audio, join clips, remove silence, generate TTS, and transcribe after you sign in.
Choose Audacity for hands-on timeline editing. Choose CleanAudio MCP when the supported edit can be stated clearly and completed from Claude, Cursor, ChatGPT, or VS Code.
Ask Claude, Cursor, ChatGPT, or VS Code in plain language.
Describe a supported change in chat instead of opening a timeline and applying it manually.
Connect over MCP and sign in to CleanAudio without installing a desktop audio editor for these tasks.
The MCP offers named cleanup, cut, join, TTS, silence, and transcription tools rather than a full desktop workstation.
Connect the hosted MCP, authorize CleanAudio, and ask an agent for a direct, tool-supported change.
Copy https://mcp.cleanaudio.app/mcp. CleanAudio hosts the MCP server, so there is no local server or FFmpeg installation.
Add the URL in Claude Connectors, Cursor Settings → MCP, ChatGPT connectors, or your VS Code MCP client.
Complete the browser sign-in with your CleanAudio account. Authorization keeps processing and usage tied to your account.
Upload or reference your audio, then give the agent a concrete instruction. It can choose the relevant CleanAudio tool.
CleanAudio MCP is best for supported prompt-driven tasks: clean_noise, cut_audio, join_audio, text_to_speech, remove_silence, and transcribe.
Remove background noise from podcast recordings
Trim MP3 files to create ringtones or clips
Merge multiple audio files into one
Convert blog posts to audio narration
Clean up long recordings by removing pauses
Convert speech to text automatically
They serve different workflows. CleanAudio is convenient for supported agent-driven tasks, while Audacity is a full desktop editor for manual timeline work.
No. Add the hosted connector URL in your agent and sign in with your CleanAudio account.
No. The MCP exposes a focused set of tools, not a complete desktop editing surface.
It can use clean_noise, cut_audio, join_audio, text_to_speech, remove_silence, and transcribe.
Claude, Cursor, ChatGPT connectors where available, and compatible VS Code MCP clients can use the hosted URL.
Add the hosted CleanAudio MCP connector, sign in once, then send a clear audio request from your preferred agent.