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 MongLong0214 · MCP Server · ★ 115
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is logic-pro-mcp safe to install? View the security audit →
The missing agent control plane for Logic Pro. A production-oriented MCP server that lets Claude, Cursor, and custom MCP agents operate Logic Pro with state, provenance, and fail-closed safety gates. <img src="docs/media/logic-pro-mcp-demo.gif" alt="6 second actual Logic Pro 12.2 screen capture showing live playback, mov
| Stars | 115 |
| Forks | 26 |
| Language | Swift |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71.5952305156081/100 |
| Open Issues | 31 |
| Last Updated | 2026-10-04 |
| Created | 2026-04-04 |
| Platforms | mcp |
| Est. Tokens | ~19k |
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logic-pro-mcp is Local MCP server for stateful, fail-closed Logic Pro control and live project readback.. It is categorized as a MCP Server with 115 GitHub stars.
logic-pro-mcp is primarily written in Swift. It covers topics such as ai-agents, app-automation, automation.
You can find installation instructions and usage details in the logic-pro-mcp GitHub repository at github.com/MongLong0214/logic-pro-mcp. The project has 115 stars and 26 forks, indicating an active community.
logic-pro-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to logic-pro-mcp on Agent Skills Hub include reaper-mcp, daymon, claude-emporium. 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.
Sources & who's responsible: