mcpField
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talkback

talkback

Local
github.com/jmedureMedia & Design25Updated 31w ago

About talkback

talkback combines an MCP server with a Max for Live device so AI assistants can read a live Ableton Live session, adjust parameters, and analyze the mix through conversation. It targets music producers who want assistant help with mixing and must run in a local desktop MCP client.

Key features

  1. 01Reads track volumes, panning, sends, devices, and routing
  2. 02Adjusts device parameters in human-readable units
  3. 03Captures master bus spectral snapshots with peak and RMS levels
  4. 04Heuristic mix checks for buildup and dynamics issues
  5. 05Toggles device bypass for A/B comparison

Use cases

  1. 01Asking why a bass or vocal sounds muddy and getting suggested checks
  2. 02Reviewing proposed parameter changes before the assistant applies them
  3. 03Creating group tracks or changing output routing through conversation

MCP support

This project is an MCP server that exposes session reading, parameter control, and mix analysis tools to desktop MCP clients, connecting to a Max for Live bridge device in Ableton over WebSocket.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"jmedure-talkback": {
"command": "npx",
"args": [
"-y",
"talkback-mcp"
],
"env": {
"WS_PORT": "<WS_PORT>"
}
}
}
}
Run commandnpx -y talkback-mcp
Environment variables to set
WS_PORTWebSocket port for the Max for Live bridge connection

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmtalkback-mcp0.1.3

Tools

10

Saved tool list · updated 2w ago

This tool takes no parameters.

Details

From the project README

talkback mcp

Chat with your Ableton session in natural language. Go deeper in your mix, make it sound like it does in your head, and finally understand compression... jk no one can teach you that.

Talkback is an MCP server and Max for Live device that gives AI assistants real-time access to your Ableton Live session — read tracks, adjust parameters, analyze your mix, and get spectral snapshots, all through conversation.

talkback.createwcare.com  ·  Docs  ·  Changelog

How it works

Ableton Live ↔ M4L Bridge ↔ WebSocket ↔ MCP Server ↔ Claude / Cursor / etc.
  1. talkback bridge — a Max for Live device on your master track that reads the Live Object Model and streams session data over WebSocket
  2. talkback-mcp (this package) — an MCP server that exposes your session as tools any LLM can use

Quick start

The fastest way to get set up — installs the MCP server and configures Claude Desktop automatically:

curl -fsSL https://talkback.createwcare.com/install.sh | bash

Already in an AI agent? Let it set things up for you:

npx skills add jmedure/talkback-mcp

Then ask your agent: "Help me set up talkback"

Requires Node.js 18+. See the full setup guide for more options.

1. Install the Max for Live device

Download talkback-bridge (latest) and drop it onto your master track in Ableton. Make sure the device is toggled on.

2. Add the MCP server

Talkback requires a desktop MCP client — it runs locally on your machine and connects to Ableton over WebSocket. It does not work with claude.ai in the browser (web chat doesn't support local MCP servers yet).

Claude Desktop (recommended)

Download Claude Desktop, then add to your config:

~/Library/Application Support/Claude/claude_desktop_config.json (macOS) %APPDATA%\Claude\claude_desktop_config.json (Windows)

{
  "mcpServers": {
    "talkback-mcp": {
      "command": "npx",
      "args": ["-y", "talkback-mcp"],
      "env": { "WS_PORT": "8765" }
    }
  }
}

Restart Claude Desktop after saving.

Using nvm or fnm? Claude Desktop doesn't load your shell profile, so it may pick up an old system Node. Use the full path to npx instead — run which npx in Terminal, then set that as "command" in the config above. See troubleshooting for details.

Claude Code
claude mcp add --transport stdio talkback-mcp -- npx -y talkback-mcp
Cursor

Add to .cursor/mcp.json in your project root:

{
  "mcpServers": {
    "talkback-mcp": {
      "command": "npx",
      "args": ["-y", "talkback-mcp"],
      "env": { "WS_PORT": "8765" }
    }
  }
}
Other clients (Windsurf, etc.)

Point your client at npx -y talkback-mcp as the server command with WS_PORT=8765 as an environment variable.

Or use add-mcp to auto-configure all your installed agents:

npx add-mcp "npx -y talkback-mcp"
3. Start chatting

Open your LLM and start asking about your session:

  • "What's going on in my session?"
  • "My bass sounds muddy, can you help?"
  • "Cut 3 dB at 300 Hz on the vocal EQ"
  • "Does my mix have any obvious problems?"

Your LLM will ask for approval before making any parameter changes. Undo always works.

Tools

ToolWhat it does
get_session_contextReads your full session — tracks, volumes, panning, mutes, sends, devices, routing
get_track_detailsDeep-dives a single track with every device parameter in human-readable units
get_spectral_snapshotCaptures ~2s of live audio from master bus with peak/RMS per frequency band
get_plugin_libraryLists all installed AU and VST3 plugins on your system
analyze_mixRuns heuristic checks for frequency buildup, dynamics, headroom, and routing issues
set_device_parameterChanges a device parameter using human-readable units (dB, ms, Hz, etc.)
toggle_device_bypassEnables or bypasses a device for A/B comparison
create_group_trackCreates a new group track containing specified tracks
set_track_routingChanges a track's output routing to another track or bus
get_bridge_healthReturns bridge performance metrics from the M4L device

Requirements

  • Ableton Live 11+ with Max for Live
  • Node.js 18+
  • A desktop MCP client — Claude Desktop (recommended), Claude Code, Cursor, or similar

Environment variables

VariableDefaultDescription
WS_PORT8765WebSocket port for bridge connection

License

PolyForm Shield 1.0.0 — free to use, modify, and distribute. You may not use this software to build a competing product.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.