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    Enables searching and downloading audio samples from Freesound using keywords, filters, and sound IDs. It provides detailed sound metadata including duration, license information, and preview URLs.
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    MIT
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    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.
    MIT
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    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.
    548
    MIT
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    Lets Claude create guitar and bass tablature as TuxGuitar-compatible .gp5 files, including tracks, tuning, measures, notes, and effects such as palm mute, tremolo picking, bends, and harmonics.
    MIT
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    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.
    MIT
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    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.
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    Runs entirely local media tooling as an MCP plugin: it edits and inspects video, denoises/transcribes/normalizes audio, generates images, performs OCR, does offline text-to-speech, drives the user's logged-in Chrome via CDP, and reads or creates Office and PDF documents. Everything executes on the machine through ffmpeg, faster-whisper, MossFormer2, ComfyUI/FLUX, Tesseract, SAPI and Playwright, with no API costs or file uploads.
    MIT
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    Enables AI assistants to transcribe local audio or video files on-device, with optional timestamps and cleanup, and to search locally stored dictation history without uploading audio or needing an API key. It also lets clients pre-download and verify the speech model before the first transcription.
    MIT
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    Enables AI clients to convert text into spoken MP3 audio by calling a local voice gateway that renders it with the Eleven v4 model and delivers the result to either a local web playback list or a fixed Telegram chat. It also returns short clips as inline MCP audio content blocks for clients that support embedded playback.
    MIT
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    Transcribe audio/video files using Groq-hosted Whisper with word-level timestamps, automatic caching, and cost estimation, offering up to 9x savings over OpenAI Whisper.
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