by xiaolaa2
Boost your Ableton Live music production with an AI assistant designed for seamless Ableton integration and enhanced cre
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.
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.
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.
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.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Strong directory entry: Ableton surfaces stars and publisher context so we could sanity-check maintenance before adopting.
We wired Ableton into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Ableton has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Ableton is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
According to our notes, Ableton benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Strong directory entry: Ableton surfaces stars and publisher context so we could sanity-check maintenance before adopting.
I recommend Ableton for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Ableton has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
I recommend Ableton for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Strong directory entry: Ableton surfaces stars and publisher context so we could sanity-check maintenance before adopting.
showing 1-10 of 49
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.
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.
This is a simple demonstration video of MIDI operations.
https://github.com/user-attachments/assets/8d635c4c-a1f2-44be-93ae-062038d14c71
npx command is available
🔗 Download: Node.js official website
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
init_ableton_js to complete the installation automaticallyMethod 3: Manual installation
C:\Users\[username]\Documents\Ableton\User Library\Remote Scripts/Users/[username]/Music/Ableton/User Library/Remote Scriptsmidi-script folder to the location aboveAbletonJSLaunch Ableton Live
Enable AbletonJS Control Surface
Preferences → Link/MIDIMIDI tab, locate the Control Surface sectionAbletonJS from the dropdown menuConnect using an MCP client
The following clients can be used as MCP endpoints:
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"
]
}
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 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 |
Issues and contributions are welcome. Please submit issues or suggestions through GitHub Issues.
This project is licensed under the MIT License.
This is a third-party integration and not made by Ableton.
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.