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TwelveTake-Studios/reaper-mcp

by Various

🐍 🏠 🍎 πŸͺŸ 🐧 - MCP server enabling AI assistants to control REAPER DAW for mixing, mastering, MIDI composition, and full music production with 129 tools

T

MCP

TwelveTake-Studios/reaper-mcp

Added 1 June 2026

Overview

An MCP server that exposes 129 tools for controlling the REAPER digital audio workstation from AI assistants. It enables programmatic mixing, mastering, MIDI composition, and music production workflows via the Model Context Protocol.

Best for

Best for
Developers and power users who want to control REAPER programmatically via AI assistants

Use cases

  • Automate mixing and mastering tasks through AI assistant commands
  • Generate and edit MIDI compositions programmatically
  • Integrate REAPER into larger AI-driven music production pipelines

Notes

An MCP server that exposes 129 tools for controlling the REAPER digital audio workstation from AI assistants. It enables programmatic mixing, mastering, MIDI composition, and music production workflows via the Model Context Protocol.

15 stars on GitHub. Last updated 2025-12-14. Licensed MIT.

Use cases

  • Automate mixing and mastering tasks through AI assistant commands
  • Generate and edit MIDI compositions programmatically
  • Integrate REAPER into larger AI-driven music production pipelines

Pros

  • Large tool surface (129 tools) covers extensive DAW functionality
  • Cross-platform support (macOS, Windows, Linux)
  • Written in Lua, aligning with REAPER’s native scripting language

Cons

  • Small community (15 stars) suggests limited adoption and support
  • Requires familiarity with both MCP and REAPER’s API
  • Dependency on external AI assistant infrastructure to function

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Large tool surface (129 tools) covers extensive DAW functionality
  • Cross-platform support (macOS, Windows, Linux)
  • Written in Lua, aligning with REAPER's native scripting language

Cons

  • Small community (15 stars) suggests limited adoption and support
  • Requires familiarity with both MCP and REAPER's API
  • Dependency on external AI assistant infrastructure to function