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Ableton Live MCP Server

MCP Server

Control Ableton Live via LLMs with OSC and MCP

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About

The Ableton Live MCP Server implements the Model Context Protocol to enable LLMs to control Ableton Live through OSC, providing a comprehensive MCP-compatible API for music production automation.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

AbletonMCP in action

AbletonMCP bridges the gap between a creative music production environment and advanced AI assistants by exposing Ableton Live’s full suite of features through the Model Context Protocol. Instead of manually triggering clips, adjusting mixer levels, or loading instruments, developers can now ask Claude to perform these tasks with natural language prompts. The server translates those requests into MIDI Remote Script commands, enabling a seamless two‑way dialogue between the AI and Live’s session engine.

The core value of this MCP server lies in its ability to automate repetitive or complex production workflows. A composer can instruct Claude to “create a four‑bar drum pattern in the default kit” or “load a synth preset named ‘Dream Pad’ onto track 3.” Claude then sends the appropriate MCP messages, which are received by the socket server in Live and executed immediately. This eliminates manual drag‑and‑drop, reduces context switching, and allows artists to focus on higher‑level creative decisions while the AI handles technical implementation.

Key capabilities include:

  • Track manipulation: Create, rename, and delete MIDI or audio tracks on demand.
  • Instrument & effect management: Browse Ableton’s library, load virtual instruments, and stack effects chains with a single command.
  • Clip editing: Generate or modify MIDI clips, set note velocity, length, and groove.
  • Session control: Start or stop playback, trigger specific clips, adjust transport controls, and manage scenes.
  • Real‑time feedback: The server reports status back to Claude, enabling conditional logic (e.g., “if the clip has finished playing, then do X”).

Typical use cases span from rapid prototyping—where a producer can sketch out entire arrangements in minutes—to educational settings, where instructors demonstrate Live’s workflow through conversational prompts. In collaborative studios, multiple team members can issue commands to a shared session, with the MCP server ensuring all changes propagate instantly.

Integration is straightforward: once the Ableton Remote Script is installed, the MCP server runs as a background process that listens on a local socket. Claude’s configuration simply references this server, and the AI can begin issuing commands immediately. The architecture is lightweight, making it suitable for both desktop and cloud‑hosted AI workflows, and its socket‑based communication ensures low latency—critical for live performance scenarios.

Overall, AbletonMCP transforms the way musicians interact with their DAW by embedding AI as a natural, intuitive control surface. It empowers developers to build sophisticated music‑creation tools that respond to conversational input, dramatically accelerating production cycles and opening new avenues for creative exploration.