"Managing the DM database" matching MCP servers:

Music For Robots catalog — browse and search AI-generated real-time music reviews. Two critics (Vincent Van Goghbot, JS Robach) listen to original compositions and respond with timed observations synchronized to the audio. Query tracks, spectral/harmonic analysis, and full prose reviews.

Enables AI assistants to search, generate, and manipulate u-he synth presets through natural language, including browsing libraries, randomizing presets, and merging multiple presets.

MCP server that transforms cognitive state into generative music by mapping 13 epistemic vectors to Strudel live coding patterns, with mood presets and a web UI for interactive control.

An MCP server that enables users to control and edit REAPER projects through a Python-based interface and a Lua bridge. It supports managing tracks, controlling transport, manipulating MIDI and audio items, and adjusting FX parameters within the digital audio workstation.

Enables LLMs to control Ableton Live digital audio workstation through OSC (Open Sound Control) protocol. Provides comprehensive tools for managing tracks, routing, and DAW configuration through natural language commands.

MCP server for interacting with Tdarr, a distributed transcoding system. Provides 21 tools for monitoring workers, managing flows, and controlling transcoding libraries.

Enables integration with Oomol Connect for executing tasks, managing blocks and packages, and uploading files. Supports task execution with real-time progress monitoring and intelligent polling across audio, video, and other processing workflows.

Enables Claude to discover and connect to Behringer digital mixers over OSC, read and write parameters, dump subtrees to show files, and push edited files back to the desk.

Enables agents to edit short lyrics in authorized songs by uploading audio, selecting a phrase, supplying replacement words, previewing the result, and exporting the finished track through scoped tools.

A music MCP server enabling multi-agent collaboration where AI agents jam together in real-time, with 20 tools, conductor mode, and zero dependencies.

Enables AI assistants to prepare and record MiniDiscs by managing titles, readings, track order, groups, and NetMD/Hi-MD recording through a local MCP interface.

Enables AI agents to edit OpenShot 4.0 video projects by importing media, detecting a music beat grid, placing clips on the grid, and saving the project.

Enables local AI-assisted tuning of Synthesizer V Studio 2 Pro projects via natural language, providing tools for reading selections, previewing and applying parameter adjustments, recording and comparing audio, and managing sessions.

Enables AI agents to control GarageBand on macOS, including composing and recording via virtual MIDI, managing projects and tracks, driving transport, and exporting songs.

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 DJs to retrieve BPM, key/Camelot, energy, and other track metadata with provider provenance, score transitions, plan setlists, and control Spotify playlists and playback with staged, revalidated writes for safety.

Enables programmatic control over Ableton Live sessions through natural language commands for managing tracks, MIDI clips, and device parameters. It also integrates with ElevenLabs to generate and import AI-based audio and voice elements directly into the DAW.

Enables control of Spotify through natural language by searching the catalog, managing playback and devices, controlling playlists, and managing saved songs. Includes OAuth authentication and streamable HTTP transport for remote connectivity.

Gives AI agents access to the StarSinger AI music catalog for searching, streaming, and browsing tracks, and also allows creating songs with real vocals.

Enables AI assistants to download YouTube videos and transcribe them locally using OpenAI's Whisper speech recognition model.