Which Audacity versions are supported?
AudacityMCP currently works with Audacity 3.x only. Audacity 4.x is not yet supported.
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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
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"audacity": {
"command": "audacity-mcp"
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
AudacityMCP connects any MCP-compatible AI assistant to Audacity, giving it full control over audio editing through 131 tools covering effects, cleanup, mastering, transcription, and more. Everything runs locally through Audacity's named pipe interface—no cloud, no API keys for audio processing. Works with Audacity 3.x only.
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.
AudacityMCP currently works with Audacity 3.x only. Audacity 4.x is not yet supported.
No. All audio processing runs locally through Audacity's named pipe interface. No cloud, no API keys are needed for audio processing.
Pipelines only reduce peaks if they are too hot; they never boost loudness. After a pipeline, you can ask the AI to run `loudness_normalize` to hit a specific LUFS target (e.g., -14 for Spotify).
Local transcription is experimental and requires separate setup. Powered by faster-whisper, it runs entirely offline with 5 model sizes and supports multiple export formats (SRT, VTT, TXT). See the installation guide for detailed setup.
Yes. AudacityMCP communicates through Audacity's named pipe—it cannot launch Audacity for you.
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