Audacity-MCP — MCP Server by xDarkzx

by xDarkzx · MCP Server · ★ 59

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About Audacity-MCP

AudacityMCP AI-powered audio editing in Audacity through the Model Context Protocol Quick Start • Why AudacityMCP? • Pipelines • Tool Reference • Troubleshooting AudacityMCP connects any MCP-compatible AI assistant to Audacity, giving it full control over audio editing through 131 tools spanning effects, cleanup, mastering, transcription, and more. Talk to your AI assistant and it edits your audio in real-time. No cloud. No API keys for audio processing. Everything runs locally through Audacity's named pipe interface. Compatibility: AudacityMCP currently works with Audacity 3.x only. Audacity 4.x is not yet supported —

ai-toolsaudacityaudio-processingmcppython

Quick Facts

Stars59
Forks6
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score72.307649059688/100
Last Updated2026-07-25
Created2026-03-14
Platformsmcp, python
Est. Tokens~18k

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Frequently Asked Questions

What is Audacity-MCP?

Audacity-MCP is 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. It is categorized as a MCP Server with 59 GitHub stars.

What programming language is Audacity-MCP written in?

Audacity-MCP is primarily written in Python. It covers topics such as ai-tools, audacity, audio-processing.

How do I install or use Audacity-MCP?

You can find installation instructions and usage details in the Audacity-MCP GitHub repository at github.com/xDarkzx/Audacity-MCP. The project has 59 stars and 6 forks, indicating an active community.

What license does Audacity-MCP use?

Audacity-MCP is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to Audacity-MCP?

The top alternatives to Audacity-MCP on Agent Skills Hub include LocalText2Voice, augments-mcp-server, youtube-connector-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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