"Resources for Learning Linux" matching MCP servers:

Local speech-to-text MCP server for Linux that transcribes audio via push-to-talk (Right Ctrl) and injects the text into Claude's input stream in Tmux.

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.

Enables an AI agent to make music with SuperCollider by rendering code to WAV files offline with peak and RMS level stats, plus realtime playback and stopping. Runs on macOS and Linux via a subprocess, with per-call process isolation so crashes or hangs can't take the server down.

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.

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.

MCP server for Audionaut, a free, open-source multitrack audio editor for macOS, Windows and Linux. Agents can split and move clips, set gain, fades and crossfades, time-stretch, work with regions, run audio analysis and Auto Edit, separate stems and export. When the project is open in the app, each edit lands there as one undo step and the project file is never overwritten. Setup: npx -y audionau

Control Logic Pro locally on macOS through MCP: transport, tracks, mixer, plug-in parameters, audio analysis, bounce and delivery, with optional gesture and voice control. Uses OSC, CoreMIDI and macOS Accessibility. Actions report confirmed, uncertain or failed outcomes. Actual control requires a local Mac with Logic Pro. Hosted/Linux builds are schema inspection only; all operations are disabled.

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.

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.

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

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.

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.

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.

A local MCP server for Linux that records microphone audio and returns transcripts using local faster-whisper transcription.

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.

Provides a local stdio MCP server for controlling YouTube Music through the CLI, enabling playback, search, queue management, and library access via MCP-compatible clients.