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    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.
    11
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    A Model Context Protocol implementation that plays sound effects (completion, error, notification) for Cursor AI and other MCP-compatible environments, providing audio feedback for a more interactive coding experience.
    3
    1
    MIT
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    C
    maintenance
    Enables Claude Desktop to drive FL Studio 2025 and 2026 through natural language, diagnosing and repairing mixes, configuring plugins, writing notes and chords in any scale, exporting arrangements to MIDI, and analyzing audio for tempo, key, and melody.
    MIT
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    Enables coding agents to inspect and manipulate video and audio through ffmpeg-backed tools for probing, trimming, cropping, resizing, extracting audio or frames, generating thumbnails, normalizing loudness, concatenating files, burning captions, and converting formats. Each operation returns concise JSON with output path, size, and verified duration or dimensions.
    11
    MIT
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    C
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    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.
    57
    MIT
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    A text-to-speech MCP server with 48 voices across 9 languages, supporting emotion spans, SFX tags, and multi-speaker dialogue. Deployable via a single npx command with built-in guardrails and swappable backends.
    MIT
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    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.
    MIT
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    Enables AI assistants to turn music requests into traceable local DJ collections by scanning and indexing audio, planning tracklists, managing durable download jobs, and preparing hash-checked playlists, manifests, and experimental rekordbox exports for DJ app handoff.
    MIT
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    maintenance
    Enables Claude to turn a JSON song spec into a real, editable FL Studio project plus a matching MIDI file, then render it headless, master to a loudness target, and analyze the audio for loudness, tonal balance and section-level mix problems so the model can iterate without hearing.
    MIT
  • A
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    Enables AI clients to transcribe YouTube links and uploaded audio or video files, then retrieve the resulting transcripts as text, SRT, VTT, or JSON with timestamps and optional speaker labels. Also supports paging through long transcripts, checking upload progress, listing or deleting jobs, and viewing remaining account minutes.
    537 npm
    1
    MIT
  • A
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    MCP server that provides a transcribe_audio tool to convert voice messages from channels into text using OpenAI Whisper, enabling Claude Code to process audio attachments.
    1
    MIT
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    An MCP server that enables analysis of local media files, including video, audio, and documents, by uploading them to EnriProxy for server-side extraction. It supports various complex file formats and provides structured model analysis for media types often unsupported by standard MCP clients.
    1
    21 npm
    2
    AGPL 3.0
  • A
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    Enables AI agents to turn YouTube videos into downloadable audio files in formats like MP3, M4A, WAV, FLAC, and OGG (with optional clipping), and to retrieve existing captions as text, JSON, Markdown, SRT, or VTT. Uses your own RapidAPI key and supports job polling for longer conversions.
    3
    MIT
  • A
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    Generates room impulse responses as WAV files from natural language descriptions, enabling agents to create realistic or arbitrary reverb for audio production.
    1
    MIT
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    A local MCP server that rings a bell through your speakers to provide audible notifications when AI completes tasks or needs attention.
    2
    MIT
  • F
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    Voice input for Claude Code — speak Vietnamese or English; hold a hotkey, speak, release, and the transcribed text is cleaned and pasted into the input box for editing before sending.
    2
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    Enables MCP clients to transcribe local audio files or public audio URLs into plain text, JSON with word timestamps, or SRT/VTT subtitles, with options to save output to a file.
    2
    MIT
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    An MCP server that enables transcribing local audio files and Telegram voice messages using OpenAI's Whisper via local inference or cloud API. It supports multiple audio formats, automatic language detection, and optional word-level timestamps for AI-powered audio analysis.
    5
    14 PyPI
    1
    MIT
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    Enables MCP-capable assistants to transcribe local audio files or URLs and perform speaker diarization for Spanish and Portuguese audio, with options for speaker count hints, domain prompts, and transcript retrieval in multiple formats.
    4
    12 npm
    MIT
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    Game sound effects for AI coding agents. 45 presets: Eastern instruments (guqin, pipa, erhu, temple bells, gongs, war drums), xianxia magic (sword qi, thunder, talismans) and general game sounds (UI, coins, combat, footsteps, ambience, monsters). Renders locally to WAV files or a dependency-free JavaScript snippet. No API key, no network, free for commercial use. Run with: npx -y sfxbrew mcp
    4
    MIT
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    Enables audio transcription to multi-instrument MIDI files using MuScriptor, supporting local files and HTTPS URLs with safety controls.
    2
    MIT
  • A
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    Local, private audio transcription MCP server enabling AI agents to transcribe audio files entirely on-device without uploading data.
    3
    MIT
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    Enables agents to submit audio files to the local Meeting Transcriber macOS app, retrieve diarized transcripts, assign speaker names, and start or stop automatic meeting detection over its localhost automation API. Everything runs on-device, so no audio or transcripts leave the Mac.
    8
    MIT