Reaper MCP Server

The Reaper MCP Server bridges the gap between AI assistants and professional audio production by exposing a rich set of Model Context Protocol (MCP) endpoints that control every aspect of the REAPER digital audio workstation. Instead of manually setting up tracks, routing, or automation in a GUI, an AI agent can issue high‑level commands such as “create a new drum track with a 909 kit” or “render the session to an MP3.” This enables developers to build AI‑powered music production pipelines, from automated remix generation to real‑time collaborative composition tools.

At its core, the server offers comprehensive project management: clients can create, load, save, and render entire REAPER sessions with a single call. Track operations cover creation, deletion, routing, and parameter adjustments for both virtual instruments and audio clips. The MIDI subsystem allows programmatic composition—adding notes, editing velocities, or generating chord progressions—while the audio subsystem supports recording from external sources and importing files. Users can also manage REAPER’s virtual instruments, apply effects chains, automate parameters, and invoke mastering tools. An audio analysis API provides feedback such as loudness meters or spectral content, giving AI agents the data needed for intelligent mixing decisions.

The server is designed to work in two robust modes. OSC mode uses Open Sound Control for fast, network‑based communication and requires only that REAPER’s OSC interface be enabled. ReaScript mode leverages REAPER’s built‑in Python scripting engine, allowing deeper integration when OSC is unavailable. Both modes expose identical MCP endpoints, so developers can choose the deployment that best fits their environment.

Real‑world use cases abound: a content creator could let an AI assistant produce full tracks from textual prompts; a live‑performance system might generate on‑the‑fly arrangements that the AI writes into REAPER; a studio workflow could automate repetitive mixing tasks, freeing engineers to focus on creative decisions. Because the server works with standard MCP clients like Claude or OpenAI’s new agents, it fits naturally into existing AI pipelines without requiring custom adapters.

What sets Reaper MCP apart is its end‑to‑end automation of a professional DAW. By combining project lifecycle control, detailed track manipulation, MIDI and audio handling, and real‑time analysis, it transforms REAPER from a manual tool into an AI‑driven production engine. This capability unlocks new possibilities for music generation, collaborative editing, and intelligent studio assistants that can understand and execute complex audio tasks on demand.