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    Enables an agent to inspect an audio folder and report what is inside each file — duration, sample rate, channels, codec and bitrate — and to group byte-identical files, identical decoded audio stored in different containers, and near-duplicate candidates, with suggested keeps and explicit differences, all read-only.
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    AGPL 3.0
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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.
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    36 npm
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    AGPL 3.0
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    Enables MCP clients to measure a track's loudness and peak levels, strip artifacts left by AI generators, compare mastering presets, and master single tracks or batches to streaming targets via a hosted remote server or a local stdio bridge. Tracks are supplied as public HTTPS links, with analysis, cleanup and previews free and full masters limited by a daily free quota or credits.
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    MIT
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    An MCP server that lets users generate, edit, and save Xfer Serum 2 presets from plain-English descriptions directly through MCP clients like Claude Code or Claude Desktop, without any separate API keys or LLM calls.
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    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.
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    MIT
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    Chat with your Ableton Live session in natural language. Provides real-time access to session data, parameter control, and mix analysis via an MCP server and Max for Live device.
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    Provides access to a database of over 8,800 headphones and IEMs for equalization settings, sound signature analysis, and Harman preference scores. It enables AI assistants to search, compare, and recommend headphones based on frequency response measurements and parametric EQ profiles.
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    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.
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    MIT
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    Enables LLMs to perform FFmpeg operations like clipping, merging, extracting audio, adding subtitles, and transcoding videos via a set of tools exposed as an MCP server.
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    MIT
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    Enables local analysis of PCM WAV files to produce bounded audio observations such as activity segments, clipping indicators, duration, sample rate, peak, and RMS level without uploading recordings.
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    MIT
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    Lets AI assistants query available voices from an OpenAI-compatible TTS service and synthesize text into audio with a chosen voice, tone, and speed, returning a public audio URL instead of Base64 data.
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    11 npm
    MIT
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    Barevalue edits podcast audio. Hand over a raw recording by link or from disk and get back a finished episode: noise and levels fixed, filler words and dead air removed, plus a transcript, show notes and highlight clips for longer episodes. An agent can sign up and place an order with no human step.
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    Enables deterministic room acoustics analysis through MCP tools that compute axial, tangential, and oblique standing wave modes, Bonello and Bolt criteria compliance, Schroeder cutoff frequency, and Sabine/Norris-Eyring RT60 decay across octave bands for rectangular rooms. Also derives optimal speaker and sweet-spot coordinates with SBIR notch predictions and calculates the acoustic treatment area needed to hit target reverb times for podcast, mixing, home theater, or listening use.
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    10 npm
    MIT