ableton-mind
MCP server for Ableton Live that exposes the Live Object Model to LLMs, enabling natural language control of music production.
README
ableton-mind
Servidor MCP (Model Context Protocol) para Ableton Live. Expõe o Live Object Model completo para LLMs (Claude, Cursor, etc.) com knowledge base embutida de devices nativos, recipes musicais declarativas e verify loop integrado.
Status: Phase 0 — Spike em construção. API instável. Não use em produção.
📚 Documentação completa: pantani.github.io/ableton-mind
Arquitetura (3 camadas)
Claude/Cursor ──MCP/stdio──▶ ableton-mind (TS, Node 20+) ──TCP NDJSON JSON-RPC──▶ Remote Script (Python, dentro do Live)
src/— servidor MCP em TypeScript. Tools, resources, prompts, cliente TCP.live/AbletonMind/— Remote Script Python que sobe TCP server local na porta9876.recipes/,src/knowledge/— JSON estático (drum kits, basslines, schemas de devices).
Spec completa em PLAN.md. Contratos congelados em _workspace/contracts/.
Requisitos
- Node 20+
- Ableton Live 12 (prioritário; suporte Live 11 vem em Phase 1)
- macOS (primário; Windows em Phase 1 final)
Setup (dev)
npm install
npm run typecheck
npm run lint
npm run test
npm run build
Instalar o Remote Script (bridge Python)
Modo dev (symlink — edita no repo, Live recarrega):
node scripts/install-remote-script.mjs # cria symlink
node scripts/install-remote-script.mjs --check # só checa estado
node scripts/install-remote-script.mjs --copy # cópia (CI/snapshot)
Modo manual:
- macOS: copie
live/AbletonMind/para~/Music/Ableton/User Library/Remote Scripts/AbletonMind/ - Windows: copie para
~/Documents/Ableton/User Library/Remote Scripts/AbletonMind/
Ative em Live → Preferences → Link/Tempo/MIDI → Control Surface → AbletonMind.
Smoke test passo-a-passo: docs/smoke-test.md.
Rodar o servidor MCP
# stdio transport — apontar Claude Desktop / Cursor para este binário
npm run build
node dist/index.js
Variáveis de ambiente:
| Variável | Default | Descrição |
|---|---|---|
ABLETON_MIND_HOST |
127.0.0.1 |
Host da bridge Python. |
ABLETON_MIND_PORT |
9876 |
Porta TCP da bridge. |
ABLETON_MIND_TIMEOUT_MS |
5000 |
Timeout default por request JSON-RPC. |
ABLETON_MIND_LOG_LEVEL |
info |
debug | info | warn | error. |
Estrutura do repo
src/
index.ts Entry point (MCP stdio transport)
server/ Bootstrap MCP, registry de tools/resources/prompts
live-client/ Cliente TCP NDJSON JSON-RPC
tools/ Tools MCP por domínio (transport, track, clip, ...)
utils/ Logger, helpers
feedback/ Verify loop (Phase 1+)
tests/ vitest
live/AbletonMind/ Bridge Python (Remote Script)
_workspace/ Workspace do time multi-agente (contratos, ADRs, progresso)
Tools MCP disponíveis (Cycle 2)
| Tool | Descrição |
|---|---|
play |
Start/continue playback (idempotente). |
stop |
Stop playback (idempotente). |
set_tempo |
Set BPM global (20–999, idempotente em 0.001). |
track_list |
Lista tracks (regular, return, master). |
track_create |
Cria MIDI ou audio track no index opcional. |
create_midi_clip |
Cria MIDI clip vazio num slot (transacional). |
Instalação 1-click (Claude Desktop)
Phase 7 entrega o .mcpb. Manifest base em dxt/manifest.json. Hoje só dev install.
Status do roadmap
Veja PLAN.md §12 e _workspace/PROGRESS.md.
| Phase | Status | Escopo |
|---|---|---|
| 0 — Spike | ✅ código | smoke real pendente (TD-004) |
1 — Paridade ahujasid |
✅ 22/22 | tools mapeadas |
| 2 — Listeners → MCP notifications | ✅ | 7 eventos ativos |
| 3 — Knowledge base | ✅ 55/50+ devices | 100%+ alvo PLAN §5 |
| 4 — Automation envelopes | ✅ | linear / hold |
| 5 — Preview/verify | ✅ snapshot+diff | bounce mode planejado |
| 6 — Push 1/2/3 | ✅ pad/button/mode | sysex MIDI |
| 7 — Distribuição | ✅ | DXT/Docker/Smithery/CI prontos |
| 8 — Long tail | pendente | release v0.1.0+ |
31 tools MCP, 55 device schemas (~800 params indexados), 14 recipes em 7/7 categorias, verify loop 23/23, 7 eventos event.*.
Licença
MIT.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.