AI copilot for Ableton Live 12 β 91 MCP tools for music production and mixing
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β we're steadily working through the catalog.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Make the change. Hear what happened. Keep what works.
LivePilot connects an AI client to Ableton Live 12. Sketch ideas, edit the set,
compare versions, and learn from the choices you keep.
474 tools Β· 57 domains Β· macOS + Windows
[!NOTE] LivePilot works with any MCP client, including Claude Code, Claude Desktop, Codex, Cursor, VS Code, and Windsurf. Changes inside the Live set use Ableton's undo stack. Downloads, saved memory, library scans, and installer changes happen outside the set and cannot be undone from Ableton.
[!WARNING] LivePilot is moving quickly. Pin a version for repeatable studio or live-performance setups, and check the changelog before updating.
The setup wizard installs the Ableton Remote Script, creates the Python environment, copies the Max for Live Analyzer, and checks the connection:
Using Claude Desktop? Download the latest livepilot-<version>.mcpb from
Releases and double-click it.
See Install for client-specific setup and manual options.
LivePilot now spends far less context describing itself and gives clearer answers about what it actually knows.
Previous release v1.29.0 introduced learned perceptual taste, honest confidence gates, optional CLAP distance, and named Arrangement locators.
Full details in the CHANGELOG.
LivePilot works at two levels: exact control when you know what you want, and informed help when you do not.
| Job | What LivePilot brings |
|---|---|
| Work directly in Live | Control transport, tracks, clips, notes, devices, routing, mixing, automation, and Arrangement View through explicit tools. |
| Find the right sound | Search Ableton's library, your own plugins and racks, local samples, and Splice before loading anything. |
| Listen before judging | Read live spectral data or analyze rendered audio, then compare the result with the state before the edit. |
| Explore safely | Preview alternatives, keep the winner, and route changes inside the set through Ableton's undo stack. |
| Learn your taste | Remember which moves, devices, and versions you keep across sessions without treating taste as a universal score. |
| Stay aware of the song | Track identity, open creative threads, section roles, and protected elements so local fixes do not flatten the whole piece. |
Under the hood: a 5,264-device atlas, 683 mapped drum kits, 29 sample-processing techniques, 44 semantic moves, real-time and offline listening, and 12 planning and evaluation systems. The sections below show how each part works.
Start with the language that fits the moment. Both routes reach the same tool surface.
"Sound like J Dilla." Β "Make this feel more like Burial." Β "BoC-style pads."
Use a producer or genre as shorthand for rhythm, density, space, texture, and device choices. LivePilot translates the reference into techniques rather than pretending to clone someone's identity.
"Push the snare 4 ms early, keep the kick on-grid, add Β±2 ms timing variation to the hats, and cut 3 dB around 380 Hz on the snare."
When the detail matters, name it: notes, milliseconds, dB, frequency, modulation depth, envelope shape, send level, automation curve, scale degree, or voice leading.
Most sessions use both. Start broad, listen, then get specific where the track needs it.
Remote Script (remote_script/LivePilot/) β A Python ControlSurface that runs inside Ableton's process. Listens on TCP 9878. All Live Object Model calls execute on Ableton's main thread via schedule_message. Detects Ableton version at startup and enables four capability tiers: Core (12.0+), Enhanced Arrangement (12.1.10+), Full Intelligence (12.3+), Collaborative (12.4+).
MCP Server (mcp_server/) β Python FastMCP server. Validates inputs, routes commands to the Remote Script over TCP, manages the M4L bridge, and runs the atlas, sample engine, composer, planning, and evaluation systems. This is what your AI client connects to.
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