mcp-score
AI-powered music notation server that lets you create and edit scores using natural language, integrating with MuseScore for live manipulation.
README
mcp-score
AI-powered music notation. Describe what you want in plain English -- get a publication-ready score in MuseScore.
Quick demo
"Create a big band chart -- 32-bar AABA form, key of Bb, slow blues at 66 BPM, with rhythm changes and rehearsal marks at each section."
Claude writes a complete music21 script, executes it, and hands you a MusicXML file ready to open in MuseScore, Dorico, Sibelius, or any notation app.
With the MuseScore plugin running, you can go further:
"Read the melody in bars 9-16 and arrange it as a trombone soli following the chord progression."
Claude reads the live score, applies musical intelligence, and writes the arrangement back -- all through natural language.
Installation
pip install mcp-score
Or with uv:
uv tool install mcp-score
Then set up the components you need:
# Install the score generation skill (for Claude Code)
mcp-score install-skill
# Install the MuseScore plugin (for live score manipulation)
mcp-score install-plugin
# Or install both at once
mcp-score install
Components
mcp-score has three components that work together:
MCP server
A Python MCP server with 18 tools for live score manipulation across MuseScore, Dorico, and Sibelius: connect/disconnect, read passages, add chords, set barlines, transpose, and more. Runs via mcp-score serve (or just mcp-score).
Score generation skill
A Claude Code skill that teaches Claude to write music21 Python scripts for score generation. Installed to ~/.claude/skills/score-generate/. This handles the "create a score from scratch" use case -- no MCP round-trips needed.
MuseScore plugin
A QML plugin that runs a WebSocket server inside MuseScore 4, enabling the MCP server to read from and write to the active score in real time. Supports 19 commands including navigation, note input, chord symbols, rehearsal marks, barlines, key/time signatures, tempo, transposition, and undo.
Configuration
Claude Code
Add the MCP server to your project or global settings:
claude mcp add mcp-score -- mcp-score serve
The score generation skill is installed separately with mcp-score install-skill and activates automatically when you ask Claude to create a score.
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"mcp-score": {
"command": "mcp-score",
"args": ["serve"]
}
}
}
MuseScore plugin setup
After mcp-score install-plugin:
- Open MuseScore 4
- Go to Plugins > Plugin Manager
- Enable MCP Score Bridge
- The plugin starts a WebSocket server on port 8765
See MuseScore plugin docs for details.
CLI reference
mcp-score serve Run the MCP server (default)
mcp-score run <script> Run a Python script with music21 available
mcp-score install Install skill and MuseScore plugin
mcp-score install-skill Install the score-generate skill to ~/.claude/skills/
mcp-score install-plugin Install the QML plugin to MuseScore's Plugins directory
mcp-score help Show help
Documentation
| Document | Description |
|---|---|
| Getting started | Set up mcp-score and generate your first score |
| Architecture | System design and key decisions |
| Tool reference | Complete list of MCP tools |
| MuseScore plugin | Plugin installation and WebSocket protocol |
Contributing
See CONTRIBUTING.md for development setup, code style, and PR process.
Author
Thomas Skovlund Hansen — skovlund.dev · thomas@skovlund.dev
License
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。