pulsemcp verified Safe content atomic mcp-remote

MuseScore

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.

Cognium trust score

84%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.

Scan details: Circle-IR · 2026-09-28 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: media
Source: PulseMCP
Repository: github.com/ghchen99/mcp-musescore
Author type: human
Last scanned: 2026-09-28
Updated: 2026-09-28

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MCP

Resolve MuseScore from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"