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 TwelveTake-Studios · MCP Server · ★ 53
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is reaper-mcp safe to install? View the security audit →
TwelveTake REAPER MCP A TwelveTake Studios project. A comprehensive Model Context Protocol (MCP) server that enables AI assistants to control REAPER DAW for mixing, mastering, MIDI composition, and full music production workflows. Built by a working producer with 7+ albums released. These aren't theoretical tools—they're battle-tested in real sessions. Version: 1.3.2 Why This Server Workflow Automation, Not Just API Wrappers Most MCP servers just wrap REAPER's API and call it a day. This one includes production workflow helpers that handle multi-step operations in a single call: | getproj
| Stars | 53 |
| Forks | 14 |
| Language | Lua |
| Category | MCP Server |
| License | MIT |
| Quality Score | 76.2938655939704/100 |
| Last Updated | 2026-09-09 |
| Created | 2025-12-11 |
| Platforms | claude-code, mcp |
| Est. Tokens | ~20k |
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reaper-mcp is MCP server to control REAPER DAW with AI. 176 tools for mixing, mastering, MIDI composition, and full music production.. It is categorized as a MCP Server with 53 GitHub stars.
reaper-mcp is primarily written in Lua. It covers topics such as ai, claude, daw.
You can find installation instructions and usage details in the reaper-mcp GitHub repository at github.com/TwelveTake-Studios/reaper-mcp. The project has 53 stars and 14 forks, indicating an active community.
reaper-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to reaper-mcp on Agent Skills Hub include Reaper-MCP, LivePilot, logic-pro-mcp. 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: