What are the runtime requirements?
Python 3.9 or later, MuseScore 3 or 4 installed locally, and the MCP Python SDK (installed via `pip install -r requirements.txt`).
@JordanSucher
基本情報
An MCP server for MuseScore.
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 MCP server integrates MuseScore with LLM clients like Claude Desktop, enabling basic music composition through natural language commands. It is intended for musicians and composers who want to use AI to interact with an open MuseScore score programmatically.
Install Python 3.9+ and MuseScore 3 or 4, then clone the repository and install dependencies. Copy the musescore-mcp-plugin into your MuseScore plugins directory, then configure your LLM client (e.g., Claude Desktop) to run server.py via a JSON config. Open MuseScore, load a score, and launch the plugin from the Plugins menu. Afterwards, you can issue natural language queries such as "Compose a simple melody" or "Help me come up with possible chords for the melody."
Python 3.9 or later, MuseScore 3 or 4 installed locally, and the MCP Python SDK (installed via `pip install -r requirements.txt`).
Copy the `musescore-mcp-plugin` folder into your MuseScore plugins directory (e.g., `~/Documents/MuseScore4/plugins` on macOS). Then select the plugin from MuseScore’s Plugins menu and launch it.
No. The current limitation is that it cannot understand or navigate between multiple voices within a single staff.
The server operates on the local MuseScore file you have open; no data is sent to external servers beyond the LLM client you configure (e.g., Claude Desktop).
The server communicates via the Model Context Protocol (MCP) over standard input/output (stdio).
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Model Context Protocol Servers
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