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 xDarkzx · MCP Server · ★ 71
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Reaper-MCP safe to install? View the security audit →
ReaperMCP AI-powered music production in REAPER through the Model Context Protocol Quick Start • Features • Tools Reference • Architecture • Troubleshooting ReaperMCP connects any MCP-compatible AI assistant to REAPER, giving it full control over music production through 163 tools across 25 modules — transport, tracks, MIDI, patterns (drum / chord progressions), loop-library pipeline, vocal chops (end-to-end with chillstep / future-bass
| Stars | 71 |
| Forks | 9 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 71.6559108854201/100 |
| Last Updated | 2026-09-20 |
| Created | 2026-04-16 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~18k |
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Reaper-MCP is AI-powered music production and post-production in REAPER via MCP — 172 tools for composition, mixing, mastering, batch editing, audio QC, and ReaScript automation.. It is categorized as a MCP Server with 71 GitHub stars.
Reaper-MCP is primarily written in Python. It covers topics such as ai-tools, audio-editing, claude.
You can find installation instructions and usage details in the Reaper-MCP GitHub repository at github.com/xDarkzx/Reaper-MCP. The project has 71 stars and 9 forks, indicating an active community.
Reaper-MCP is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to Reaper-MCP on Agent Skills Hub include youtube-connector-mcp, reaper-mcp, claude-historian-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: