"Laravel 12 PHP Framework" matching MCP servers:

Enables AI agents and MCP clients to drive Ableton Live 12 end to end, from setting tempo and building instruments through writing MIDI, arranging, mixing, bouncing and mastering. Adds real-time rendering plus loudness and spectral analysis and multi-format encoding with tags and artwork, for turning an empty set into a release-ready track.

Enables programmatic control of Ableton Live using natural language to manage session transport, tracks, MIDI clips, and device parameters. It also integrates ElevenLabs for AI-generated audio and provides a high-performance framework for real-time performance tools.

Provides 189 tools across 12 domains to control DaVinci Resolve from any MCP-compatible client, including playback, project management, media, timelines, color grading, rendering, Fusion, gallery, and Fairlight.

Enables AI agents to control Ableton Live 12 for music production, including generating grooves, basslines, and percussion, and executing live set operations through MCP.

MCP server for Ableton Live 12 enabling full DAW control (tracks, devices, mixer, clips, transport) and audio analysis via loopback capture, allowing LLMs to create, modify, and measure music in real time.

Enables AI agents to control Ableton Live 12 Suite through 75 tools for composition, clip and scene triggering, arrangement automation, MIDI editing and algorithmic transformations, device and rack macro control, take-lane comping, microtonal tuning, and automated audio export.

Enables Claude or any AI agent to operate Live 12 Intro end to end: creating tracks and scenes, writing and quantizing MIDI clips, loading audio onto the Arrangement timeline, setting device parameters in real units, drawing clip automation, mixing with real sidechain, and rendering or analyzing audio so the agent can check its own work. It exposes 57 tools over MCP or a local JSON socket, working within the stock Intro edition's 16-track, 16-scene limits.

Enables local AI assistants to control and explore the macOS Music app through 12 tools for playback, playlists, songs, albums, and metadata, with full privacy and no network access.

Enables any MCP client to control Ableton Live 12 through 56 tools covering tracks, clips, MIDI notes, devices and racks, mixer parameters, transport, browser loading, automation, and arrangement editing. It also provides optional audio analysis (key, chords, groove, transcription, stem separation, mastering listen) and session memory.

Connects AI clients to Ableton Live 12, enabling deep control and editing of live sets, sound search, listening/evaluation, and version exploration through MCP tools.

Enables AI agents to control Ableton Live with full access to Live's object model, including clip creation, device control, automation, and audio signal capture for mixing and mastering tasks.

Enables AI assistants to turn structured creative briefs into repeatable, editable game music offline, producing compositions, sound settings, audio and MIDI exports, and validation checks through a local stdio MCP server.

Enables MCP clients to programmatically control an Ableton Live 12 session, including tracks, clips, MIDI notes, devices, parameters, mixer, scenes, warping, and rendering, over streamable HTTP.

Enables an AI assistant to control a Mooer Prime M2 multi-effects pedal over USB, managing presets, effects, mixer settings, looper, samples, backups, and MIDI assignments through natural-language tool calls.

MCP server for the Behringer DeepMind 12 synthesizer. Gives AI agents real-time control over synth parameters via MIDI NRPN, plus edit-buffer snapshots via SysEx.

AI copilot for Ableton Live 12 — 104 MCP tools for music production, sound design, and mixing. Talk to your DAW. Create tracks, program MIDI, load instruments, tweak parameters, arrange songs, and mix — all through natural language. LivePilot connects any MCP-compatible AI client (Claude, Cursor, VS Code Copilot) to Ableton Live and gives it full control over your session.

Lets AI assistants render HTML animations to MP4 or GIF in 16:9, 9:16 and 1:1, preview single frames to check their own work, and finish videos with royalty-free music, AI voiceover, burned-in captions, titles and logos. It renders code frame by frame in a real browser rather than generating video from a text prompt.

Enables agents to ingest a local clip or URL, analyze its scenes, mood, pace and speech, and receive ranked license-safe BGM recommendations with a 12–20s hook window, beat-snapped cut suggestions, mix previews, and ffmpeg ducking specs. Every recommendation carries its license and attribution text, and optional user-owned catalogs or API-backed analysis can be layered in.

Enables agents to analyze video footage and receive license-safe background music shortlists with printed license and attribution details, plus a 12–20s hook window, beat-snapped cut suggestions, and ffmpeg ducking/mix specs. It works from a local file or URL and can preview a mix or export the spec without pushing raw video through the payload.

Enables agents to ingest video, analyze mood, pace, speech, and scenes, and return ranked license-safe BGM matches with license and attribution details. It also provides 12–20s hook windows, beat-synced cut suggestions, and ffmpeg ducking or mix specs for editing workflows.

Enables agents to ingest local or hosted video clips, analyze footage mood, energy, speech, and scene cuts, and receive license-safe BGM shortlists with per-track licensing, a 12–20s hook window, and an ffmpeg ducking/mix spec. It also supports beat-snapped cut suggestions, brand kits, batch mood clustering, and mix previews or rendered previews without shipping raw video bytes.

Watches video footage or URLs to detect mood, energy, speech, and scene cuts, then returns ranked license-safe BGM shortlists with licensing and attribution printed on every row. Also produces 12–20s hook windows, beat-snapped cut suggestions, and ffmpeg ducking/mix specs ready for CapCut, Premiere, DaVinci, or an agent pipeline.

Watches video footage to analyze mood, energy, pace, speech, and scene cuts, then returns license-safe BGM shortlists with a 12–20s hook window, beat-snapped cut suggestions, and an ffmpeg ducking/mix spec. Enables agents in Claude Desktop, Cursor, or HTTP editors to go from local file or URL ingest to a ranked, license-printed track recommendation and exportable mix recipe.

Watches video footage or URLs to analyze mood, pace, speech, and scene cuts, then returns a shortlist of license-safe BGM tracks with license and attribution text, a 12–20s hook window, and an ffmpeg ducking/mix spec. Runs locally via stdio or HTTP without API keys, with optional catalogs and brand kits for agents and video editors.

Enables agents to ingest video files or URLs, analyze scene, mood, speech and pacing, and receive license-safe BGM shortlists with printed license and attribution. It also returns 12–20s hook windows, beat-snapped cut suggestions, and ready-to-run ffmpeg ducking and mix specs.

Enables agents to analyze video footage for mood, pace, speech, and scene cuts and return a license-safe royalty-free/CC BGM shortlist with a 12–20s hook window, beat-snapped cut suggestions, and an ffmpeg ducking/mix spec. Every recommendation prints its license and attribution, keeps non-commercial tracks out of auto-suggestions, and can export renderable specs for CapCut, Premiere, or DaVinci.

Enables agents to ingest local video files or URLs, analyze footage for mood, energy, speech, and scene cuts, and receive license-labeled royalty-free or Creative Commons BGM shortlists with a 12–20s hook window, beat-snapped cut suggestions, and an ffmpeg ducking/mix spec.

An MCP server that ingests local clips or URLs and analyzes their footage — mood, energy, speech, scenes, and BPM — to return ranked, license-safe royalty-free or Creative Commons BGM matches with attribution printed per track. It also delivers 12–20s hook windows, beat-snapped cut suggestions, brand kits, batch mood clustering, and ready-to-run ffmpeg ducking and mix specs for agent workflows.

Enables agents to analyze video footage for mood, pace, speech, and scene cuts, then return a ranked shortlist of license-safe royalty-free or Creative Commons tracks with the license printed on every row. Also supplies a 12–20s hook window, beat-aligned cut hints, and an ffmpeg ducking spec for mixing.

Enables agents to watch video footage and receive ranked license-safe BGM matches with printed licenses, 12–20s hook windows, beat-snapped cut suggestions, and ready-to-run ffmpeg ducking specs. It ingests local files or URLs as asset IDs, analyzes mood, energy, speech, and scenes, and exports mix specs without ever shipping raw video bytes through the payload.