"Resources for Learning Reverse Engineering Skills" matching MCP servers:

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

MCP server that bridges Ableton Live with AI models, enabling real-time project inspection and control such as track overview, device parameters, and audio analysis.

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.

MCP server that exposes recorded family stories as read-only tools, enabling Alexa+ to retrieve and deliver voice stories to children through natural language.

Enables ChatGPT to generate ElevenLabs speech from text, returning playable MP3 audio, with voice listing and preference management.

Lets MCP clients search kie.ai's live catalog of 200+ generation models, inspect each model's schema, price and success rate, then prepare, approve and submit media generation plans that return the finished image, video, music or speech files. Paid runs stay behind an explicit prepare → approve → submit flow so credits are only spent once a plan is shown and accepted.

Enables 小智AI to search songs across multiple free music sources, resolve direct playback URLs, and stream audio to devices via the ResourceLink/resources/read protocol.

Enables AI agents to generate and package SCORM 1.2 compliant interactive learning activities (matching and quiz) with a 16:9 responsive player shell, including scoring, timers, lives, and synthesized audio.

Turns Ableton Live into an MCP-accessible control surface, providing tools for controlling transport, tracks, clips, and devices, as well as resources for reading live state.

Control DaVinci Resolve Studio from MCP clients. Provides tools and resources for editing, color grading, Fusion compositing, audio, playback, and rendering.

Detects your work mode and plays Spotify music matched to the task, learning your taste over time to keep you in flow.

Enables controlling a Teenage Engineering EP-133 K.O. II via natural language, converting plain language into MIDI commands for triggering pads, playing scales, and sequencing patterns.

Gives Claude Code, Claude Desktop, Cursor and any other MCP client a local sound studio that turns plain-language requests into background music, instrument loops and sound effects, then re-styles, regenerates or extends them and exports seamless loops, fades and loudness-normalized WAV, OGG or FLAC files. Everything runs on Apple Silicon with no cloud service and no API key.

Exposes audio processing tools (inspect, normalize, trim, fade, gain, filter, speed, reverse) as MCP tools, enabling Claude to manipulate WAV files through natural language commands.

Enables MCP clients to connect to a running MAGDA instance over stdio and access its native composition tools, resources, and resource templates, while providing instance discovery, fixed-instance connection, credential recovery, diagnostics, and compatibility checks.

Enables agents to conjure individual sounds by semantic text search over a CLAP-embedded audio database and render them into stereo, 5.1, or 7.1.4 spatial mixes, with tools for summing mixes, analyzing a mix's sounds and spatial balance, and mimicking existing mixes. Documentation resources are exposed so the client can read usage guides on demand.

Connects AI coding agents to PreSonus StudioLive III mixers over the local network, exposing live mixer context such as channel names, mute/solo/fader state, Fat Channel compressor/EQ models, and meter activity as MCP resources and tools for reading and reasoning about live sound engineering.

Lets an AI model drive a Teenage Engineering OP-1 field over USB MIDI — designing sounds, playing scored parts, running tape and mixer, and authoring presets — while capturing every take from the device's own USB audio. The model then works from measured recordings of what was actually heard, reading levels, note detection and spectrograms rather than assuming what it sent.

Enables an AI model to drive a Teenage Engineering EP-133 K.O. II from a Mac over USB MIDI, SysEx, and USB audio, managing sample uploads, project writes, playback, recording, and device backups.

Enables controlling a Teenage Engineering EP-133 K.O. II sampler via MIDI through natural language, allowing note playback, pattern creation, and drum pattern sequencing.