"Controlling Ableton Live music production software" matching MCP servers:

MCP server for the Production Master incident-investigation service, enabling any MCP client to drive investigations via tool calls with pass-through authentication.

Two-mode creative music studio for AI: scored composition (ABC notation with sheet music) and live performance (Strudel live coding with TidalCycles), with interactive UI rendering inline in Claude Desktop and other MCP clients.

Enables MCP clients to search songs, retrieve details and lyrics, and manage personal playlists on NetEase Cloud Music, with optional local player control on macOS, all through a privacy-first, self-hosted service.

Enables MCP clients to query NetEase Cloud Music data such as songs, artists, albums, playlists, lyrics, and a logged-in user's library in compact, paginated, structured form, along with guarded playlist and like write operations.

Enables MCP-compatible agents to queue, run, and track local AI music generation jobs with dry-run defaults, license recording, and pluggable pipeline adapters for YuE or compatible backends.

Enables AI assistants to search for music and create/manage playlists on YouTube Music via OAuth 2.0 authentication.

Provides intelligent access to local music collections through advanced metadata management, album classification across 8 types, collection analytics, and smart search capabilities for AI-powered music library organization.

Enables AI agents to safely access and manage a single Apple Music account, including indefinite listening history, analytics, playlists, and recommendations.

MCP server that exposes immutable CAN signal and MISRA reference facts as read-only resources and provides a human-gated defect filing tool with tamper-evident audit logging.

An MCP server that enables AI applications to search YouTube music videos and manage playlists via the YouTube Data API v3, with OAuth support for playlist and subscription management.

A production-grade MCP server designed for multi-tenant, authenticated, and observable AI agent systems, enabling secure tool execution across heterogeneous data sources.

Enables AI-assisted music composition through copyable pattern templates, style constraints, and arrangement tools that compile to MIDI files. Provides 30+ tools for managing musical structures, layers, patterns, and styles with deterministic compilation from YAML arrangements.

Enables AI assistants to edit Microsoft Word documents in real time, supporting tracked changes, comments, formatting, and per-action undo across 124 tools.

A local-first FastAPI and MCP safety kit for turning internal HTTP APIs into controlled MCP tools, with per-tool scopes, quotas, audit events, and default-deny web-access boundaries.

A read-only MCP server that gives Hermes (AI agent) access to Antarestar Live Dashboard data from Google Sheets. It provides tools to list stores and hosts, and query performance metrics like GMV, orders, CVR, and AOV.

Enables music discovery and recommendations through the free Last.fm API by exposing tools for artist and track search, similarity-based suggestions, genre or mood-based discovery, and personalized recommendations built from a Last.fm user's listening history.

A production-grade, extensible Python template for building Model Context Protocol servers with support for Streamable HTTP and stdio transports. It provides a structured framework for implementing tools, resources, and prompts with built-in authentication, observability, and background task management.

An MCP server providing live GitHub repository and issue search tools, with production-grade features like config validation, structured logging, authentication, and support for both stdio and HTTP transports.

Provides secure filesystem operations, HTTP fetching with SSRF protection, JSON validation, artifact logging, and optional Redis key-value storage through both stdio and HTTP transports. Features production-ready security controls including sandbox enforcement, allowlist validation, and comprehensive input validation.

Enables natural language control of Music Assistant home audio system, including playing music, controlling playback, adjusting volume, and managing queues, with intelligent player and provider resolution.