How do I connect Audacity MCP Server to Audacity?
Enable mod‑script‑pipe in Audacity’s preferences under Scripting/Remote Control, then restart Audacity. The server will use the named pipes created by Audacity.
@An-3
基本情報
MCP server for Audacity
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
This project implements an MCP (Model Context Protocol) server that connects to Audacity via its mod‑script‑pipe interface. Using named pipes, it sends commands to Audacity and receives responses, allowing control (e.g. starting/stopping recording or playback) through MCP endpoints. It can be launched with the uv tool and integrated with the Claude Desktop client.
Install dependencies with uv add "mcp[cli]" httpx, then run uv run audacity_mcp_pipe.py from the project directory. For Claude Desktop, update claude_desktop_config.json to point to the project with an absolute path to uv.
uv tool to run the MCP server.Enable mod‑script‑pipe in Audacity’s preferences under Scripting/Remote Control, then restart Audacity. The server will use the named pipes created by Audacity.
The project requires `httpx` and `mcp[cli]`.
It exposes `get_status`, `start_recording`, `stop_recording`, `play`, and `pause` endpoints.
Use an absolute path to `uv` in the Claude Desktop config (`claude_desktop_config.json`).
Audacity may have created pipe files with an appended number (e.g. `/tmp/audacity_script_pipe.to.501`). Update the pipe paths in `audacity_mcp_pipe.py` to match.
Painless E2E Automation for Mobile and Web
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

See and control a real Windows PC you own — from any MCP client, locally or remotely. Observe (UIA + screenshots), click/type/drag/scroll, launch apps, owner Live View. BYOH: your machine, your key.

B2B competitive intelligence, live sales battlecards, 5-axis ICP prospect fit scoring, and tech stack teardowns over MCP and REST with cited public-web evidence.
YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context
コメント