Ableton▌

by xiaolaa2
Boost your Ableton Live music production with an AI assistant designed for seamless Ableton integration and enhanced cre
AI assistant for Ableton Live music production.
best for
- / Music producers using Ableton Live
- / Automating repetitive MIDI editing tasks
- / AI-assisted music production workflows
capabilities
- / Add and modify MIDI notes in clips
- / Load instruments and audio effects into tracks
- / Browse and access Ableton Live resources
- / Get and set clip properties
- / Remove and replace notes in clips
- / Batch modify clip settings
what it does
Connects AI assistants to Ableton Live for automated music production tasks like adding notes, loading devices, and managing clips. Helps producers automate tedious DAW operations using natural language commands.
about
Ableton is a community-built MCP server published by xiaolaa2 that provides AI assistants with tools and capabilities via the Model Context Protocol. Boost your Ableton Live music production with an AI assistant designed for seamless Ableton integration and enhanced cre It is categorized under productivity, developer tools. This server exposes 35 tools that AI clients can invoke during conversations and coding sessions.
how to install
You can install Ableton in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Ableton is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
ableton-copilot-mcp
<div align="center"> <img src="https://img.shields.io/badge/Ableton%20Live-12-9cf" alt="Ableton Live Version"> <img src="https://img.shields.io/badge/Node.js-20%2B-green" alt="Node.js Version"> <img src="https://img.shields.io/badge/TypeScript-5.8.2-blue" alt="TypeScript Version"> <img src="https://img.shields.io/badge/License-MIT-yellow" alt="License"> </div>An MCP (Model Context Protocol) server built on ableton-js for real-time interaction and control with Ableton Live's Arrangement View, dedicated to assisting music producers in their music production.
🎯 Note
As a music producer, I have some understanding of using Ableton for music creation. During the creative process, we often need to handle various tedious operations, such as humanizing note properties, merging notes, recording one track to another audio track, etc. Previously, we could only rely on the functions provided by the host DAW for these operations. However, with the emergence of large language models and MCP, we now have the possibility to let AI help us with automation. Although it's still not realistic for AI to directly generate notes or create a complete song (it can't generate a good-sounding song), having AI assist us with auxiliary operations presents a new possibility.
🎥 Demo
This is a simple demonstration video of MIDI operations.
https://github.com/user-attachments/assets/8d635c4c-a1f2-44be-93ae-062038d14c71
🚀 Features
🎵 Song Control
- Get basic song information (root note, scale name, tempo, song length, etc.)
- Get a list of all tracks
- Create MIDI, audio, and return tracks
- Delete and duplicate tracks
🎹 Track Management
- Get all clips in a track
- Create empty MIDI clips in the arrangement view tracks
- Create audio clips in tracks based on provided sample file paths
- Set track properties (mute, color, name, arm, solo, etc.)
- Duplicate MIDI clips to specified tracks
🎼 Clip Operations
- Get clips in the piano roll view
- Get and manage all notes in a clip
- Add, delete, and replace notes in clips
- Set clip properties (name, color, looping, loop_start, loop_end, etc.)
🎧 Audio Operations
- Supports recording track content based on time range
🔌 Device Management
- Load audio effects, instruments and plugins
- Modify device parameters
- Browse available devices in the library
📝 State Management
- Operation history tracking and detailed logging
- Support for operation rollback (currently only supports note operations)
- Browse and restore previous states
📝 To-Do List
- Support automatic envelope adjustment
- Support more snapshot types (track properties, device parameters, etc.)
⚠️ Warning
- Direct manipulation of MIDI clips by AI may result in the loss of original notes and cannot be undone with Ctrl + Z. Please operate with caution. If needed, you can ask the AI to help you roll back note operations.
📥 Installation
Prerequisites
- Node.js environment: Ensure Node.js is installed (v20+ recommended) and the
npxcommand is available🔗 Download: Node.js official website
Installation Steps
1. Install AbletonJS MIDI Remote Scripts
Choose ONE of the following three methods to install MIDI Remote Scripts:
-
Method 1: One-line installation (Recommended)
npx @xiaolaa2/ableton-copilot-mcp --install-scripts # or use the short form npx @xiaolaa2/ableton-copilot-mcp -is -
Method 2: Tool-assisted installation
- First, start ableton-copilot-mcp (see Usage section below)
- Let AI assistant or manually call the MCP tool
init_ableton_jsto complete the installation automatically
-
Method 3: Manual installation
- Create a folder named "Remote Scripts" in your Ableton User Library:
- Windows:
C:\Users\[username]\Documents\Ableton\User Library\Remote Scripts - Mac:
/Users/[username]/Music/Ableton/User Library/Remote Scripts
- Windows:
- Download MIDI Remote Scripts from the ableton-js project
- Copy the downloaded
midi-scriptfolder to the location above - Rename it to
AbletonJS
- Create a folder named "Remote Scripts" in your Ableton User Library:
🔧 Usage
Quick Start
-
Launch Ableton Live
-
Enable AbletonJS Control Surface
- Open Ableton Live Preferences:
Preferences→Link/MIDI - In the
MIDItab, locate theControl Surfacesection - Select
AbletonJSfrom the dropdown menu
- Open Ableton Live Preferences:
-
Connect using an MCP client
The following clients can be used as MCP endpoints:
- Cursor
- Cherry Studio
- Claude Desktop
- Other MCP clients
Client Configuration
Cursor Configuration Example
Add the following configuration to your Cursor settings:
"ableton-js-mcp": {
"command": "npx",
"args": [
"-y",
"@xiaolaa2/ableton-copilot-mcp"
]
}
For the latest version:
"ableton-js-mcp": {
"command": "npx",
"args": [
"-y",
"@xiaolaa2/ableton-copilot-mcp@latest"
]
}
Custom Storage Path (Optional)
You can specify a custom data storage location using the BASE_PATH environment variable:
"ableton-js-mcp": {
"command": "npx",
"args": [
"-y",
"@xiaolaa2/ableton-copilot-mcp"
],
"env": {
"BASE_PATH": "D:\ableton_copilot_mcp"
}
}
💡 Tip: The storage path is used to save log files, operation history, and state snapshots
✅ Compatibility Testing
Compatibility primarily depends on the version support of the ableton-js library.
| Ableton Live Version | Test Status |
|---|---|
| 12.1.10 | ✅ Tested and working |
| 11.x | ⚠️ Not tested yet |
| 10.x | ⚠️ Not tested yet |
🤝 Contributing
Issues and contributions are welcome. Please submit issues or suggestions through GitHub Issues.
📄 License
This project is licensed under the MIT License.
⚠️ Disclaimer
This is a third-party integration and not made by Ableton.
FAQ
- What is the Ableton MCP server?
- Ableton is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Ableton?
- This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Ratings
4.5★★★★★10 reviews- ★★★★★Shikha Mishra· Oct 10, 2024
Ableton is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Sep 9, 2024
We evaluated Ableton against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chaitanya Patil· Aug 8, 2024
Useful MCP listing: Ableton is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Jul 7, 2024
Ableton reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ganesh Mohane· Jun 6, 2024
I recommend Ableton for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Oshnikdeep· May 5, 2024
Strong directory entry: Ableton surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dhruvi Jain· Apr 4, 2024
Ableton has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Rahul Santra· Mar 3, 2024
According to our notes, Ableton benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Pratham Ware· Feb 2, 2024
We wired Ableton into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yash Thakker· Jan 1, 2024
Ableton is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.