No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by ghchen99 · MCP Server · ★ 84
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp-musescore safe to install? View the security audit →
MuseScore MCP Server A Model Context Protocol (MCP) server that provides programmatic control over MuseScore, via a WebSocket-based plugin system. This allows AI assistants like Claude to compose music, add lyrics, navigate scores, and control MuseScore directly. Prerequisites MuseScore 3.x or 4.x Python 3.8+ Claude Desktop or compatible MCP client Setup Install the MuseScore Plugin First, save the QML plugin code to your MuseScore plugins directory: macOS: Windows: Linux: Enable the Plugin in MuseScore Open MuseScore Go to Plugins → Plugin Manager Find "MuseScore API Server" and check the box to enable it Click OK Setup Python Environment Configure Claude Desktop Add to your Claude Desktop configuration file: macOS: Windows: json { "mcpServers": { "musescore": { "command": "/path/to/your/project/.venv/bin/python", "args": [ "/path/to/your/project/se
| Stars | 84 |
| Forks | 25 |
| Language | QML |
| Category | MCP Server |
| License | MIT |
| Quality Score | 77.4158523229612/100 |
| Last Updated | 2026-09-03 |
| Created | 2025-07-01 |
| Platforms | mcp |
| Est. Tokens | ~18k |
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mcp-musescore is A Model Context Protocol (MCP) server that provides programmatic control over MuseScore!. It is categorized as a MCP Server with 84 GitHub stars.
mcp-musescore is primarily written in QML. It covers topics such as fastmcp, mcp-server, music.
You can find installation instructions and usage details in the mcp-musescore GitHub repository at github.com/ghchen99/mcp-musescore. The project has 84 stars and 25 forks, indicating an active community.
mcp-musescore is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mcp-musescore on Agent Skills Hub include pasal, melrose, MCP-PostgreSQL-Ops. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
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