reaper-daw-mcp-server
Enables AI-powered music production by integrating with REAPER DAW via MCP protocol, allowing users to control project settings, MIDI editing, and VST plugins through natural language.
README
AI Music Co-Producer for REAPER DAW
An intelligent music production assistant that integrates with REAPER DAW, providing AI-powered tools for music creation and production. This project implements a MCP(Model Context Protocol) server that allows for automated control and manipulation of REAPER projects. Users can chat with any LLM that supports MCP protocol, and the AI agent will understand their musical intentions and make the necessary changes to their REAPER project in real-time - similar to having a virtual music producer that can understand and implement your creative vision through natural conversation.
Features
-
AI-Powered Music Production
- Integrate with any LLM that supports MCP server protocol
- Similar to Cursor for coding, but for music production
-
Project Management
- Get project state (BPM, length, tracks)
- Set project BPM
- Create and delete tracks
- Add and delete MIDI items
-
MIDI Editing
- Add MIDI notes to active takes
- Create new MIDI items
- Manage MIDI items on tracks
-
VST Plugin Integration
- List available VST plugins
- Add VST plugins to tracks
- Get and set FX parameters
- Manage FX chains on tracks
Prerequisites
- REAPER DAW (64-bit version)
- Python 3.x
- Required Python packages (see Installation)
Installation
- Clone this repository:
git clone https://github.com/Aavishkar-Kolte/reaper-daw-mcp-server
cd ai-music-coproducer
- Install uv (if not already installed):
pip install uv
- Create and activate a virtual environment using uv:
uv venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
- Install dependencies using uv:
uv pip install -r requirements.txt
Usage
- Add the MCP server to your preferred LLM application that supports MCP protocol
- Start REAPER DAW and open your project
- Start the MCP server from your LLM application:
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.