Audacitymcp
About
AudacityMCP connects any MCP-compatible AI assistant to [Audacity](https://www.audacityteam.org/), giving it full control over audio editing through 131 tools and 9 pipelines spanning effects, cleanup, mastering, and more. Talk to your AI assistant and it edits your audio in real
Details
- Author
- xDarkzx
- GitHub stars
- 49
- Downloads
- 306
- Categories
- Other, Productivity, Media
Jump to
- 131 tools across 11 categories (effects, editing, cleanup, mastering, transcription, etc.)
- 9 one-click pipelines for common audio tasks (podcast, music mastering, interview, etc.)
- Local transcription via faster-whisper—audio never leaves your machine
- Works with any MCP-compatible client (Claude Desktop, Claude Code, Cursor, etc.)
- Pipelines are safe—they only reduce peaks, never boost loudness
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
AudacitymcpCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Download or clone the repository, then run the installer (install.bat on Windows, bash install.sh on macOS/Linux) to install audacity-mcp from PyPI, enable mod-script-pipe, and configure Claude Desktop automatically. For other MCP clients, install manually with pip install audacity-mcp and add to your client's MCP config. Audacity must be open first.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"audacitymcp": {
"audacity": {
"command": "audacity-mcp"
}
}
}
}McpServers
{
"audacity": {
"command": "audacity-mcp"
}
}Why AudacityMCP?
Without AudacityMCP: You manually navigate menus, tweak effect parameters by ear, apply effects one at a time, look up ACX specs, and repeat until it sounds right.
With AudacityMCP: You describe what you want in plain English and the AI handles the rest — picking the right effects, setting industry-standard parameters, and chaining operations together.
| | Manual Audacity | With AudacityMCP |
|---|---|---|
| Podcast cleanup | 5+ steps across different menus, guessing compressor settings | "Clean up this podcast" — one sentence |
| Music mastering | Research genre-appropriate EQ/compression, apply each manually | "Master this for Spotify, it's hip-hop" — genre-tuned presets |
| Noise removal | Effect → Noise Reduction → Get Profile → select all → apply | "Remove the background noise" — automatic profiling |
| Batch operations | Repetitive menu navigation for each operation | Describe the full chain and watch it happen |
| Transcription | Export audio, use external tool, import results back | "Transcribe this and add labels" — stays in Audacity |
| Learning curve | Know which effects exist and what parameters to use | Just describe the result you want |
AudacityMCP is especially useful for:
- Podcasters who want consistent, professional sound without audio engineering knowledge
- Musicians who need quick mastering with genre-appropriate settings
- Content creators working with interviews, voiceovers, or field recordings
- Anyone who'd rather describe what they want than click through menus
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