# Ableton Live MCP

> Use this tool when you need to automate music production tasks or integrate Ableton Live with AI workflows, as it enables control and inspection of Live sessions through Python code execution and a natural language interface, accepting text inputs and generating MIDI notes and track modifications as outputs. It solves problems such as automated track management and real-time session manipulation, streamlining music production processes. Ideal for use cases requiring dynamic music generation, live performance automation, or post-production editing.

Canonical page: https://skillsregistry.net/skills/opendining-ableton-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/opendining-ableton-mcp-server

## Description

Enables AI agents to control and inspect Ableton Live by executing Python code directly against the Live Object Model. It allows for automated track management, MIDI note creation, and real-time session manipulation through a natural language interface.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h9kf48h46x)
- **Repository:** <https://github.com/opendining/ableton-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "opendining-ableton-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/opendining-ableton-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/opendining-ableton-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt