This project provides an MCP Server implementation for controlling Ableton Live via OSC, enabling interaction with Large Language Models (LLMs). It's designed for users who want to integrate AI-driven control into their music production workflows within Ableton Live.

How It Works

The server comprises two core components: mcp_ableton_server.py handles client communication using the Model Context Protocol (MCP), and osc_daemon.py relays commands to Ableton Live via OSC and processes responses. It leverages the python-osc library and is based on the AbletonOSC implementation, mapping Ableton's OSC addresses to accessible tools for MCP clients. This approach facilitates a structured, request-response communication pattern between LLMs and Ableton Live.

Quick Start & Requirements

• Install: uv sync (after installing uv and cloning the repo).
• Prerequisites: Python 3.8+, python-osc, fastmcp, uv, and AbletonOSC configured as a control surface.
• Setup: Requires cloning the repository and installing dependencies. Configuration for Claude Desktop involves editing claude_desktop_config.json.
• Links: uv installation, AbletonOSC

Highlighted Details

• Implements an MCP-compatible API for LLM control of Ableton Live.
• Utilizes python-osc for robust OSC message handling.
• Based on the established AbletonOSC implementation.
• Supports request-response patterns for command execution.

Maintenance & Community

The project is open for contributions via issues, feature requests, and pull requests. No specific contributors, sponsorships, or community channels (like Discord/Slack) are mentioned in the README.

Licensing & Compatibility

Licensed under the MIT License, permitting commercial use and integration with closed-source projects.

Limitations & Caveats

The project is still under development, with a TODO list including exploring prompt primitives and building a standalone client. Specific performance benchmarks or detailed error handling mechanisms are not provided.