MuseScore

Provides control of MuseScore music notation software through WebSocket communication, enabling composition, editing, and analysis of musical scores with note insertion, cursor navigation, tuplet creation, lyrics addition, and time signature modifications.

This MCP server provides programmatic control of MuseScore music notation software through a WebSocket-based bridge, enabling AI assistants to compose, edit, and analyze musical scores directly within the MuseScore application. Built by George Chen using Python with FastMCP and a custom QML plugin for MuseScore 3.0, it offers comprehensive music editing capabilities including note and rest insertion with precise duration control, cursor navigation across measures and staves, tuplet creation, lyrics addition, instrument management, and time signature modifications. The implementation features a modular architecture with organized tool categories, robust cursor state management with automatic selection synchronization, sequence processing for batch operations, and real-time communication between the MCP server and MuseScore through WebSocket connections, making it valuable for AI-assisted music composition workflows, automated score generation, music theory education applications, and building AI tools that need direct integration with professional music notation software.