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    MCP server for local speech-to-text using Whisper Large V3 (MLX), enabling audio transcription with text/timestamps/SRT output and LLM-based correction, all running offline on Apple Silicon.
    2
    MIT
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    Bitcoin-powered AI tools via Lightning Network micropayments (L402). Image generation, text generation, video, music, speech, 3D models, file conversion, and SMS — no signup or API keys required.
    49
    60 npm
    2
    MIT
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    Enables AI agents to perform local audio tasks such as speech synthesis, voice cloning, music and sound effect generation, and audio editing through MCP, with GPU models loaded on demand and released after idle.
    6
    MIT
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    MCP server that brings ElevenLabs to Claude Code — text-to-speech, sound effects, music generation, voice cloning, speech-to-speech, transcription, and voice isolation. 8 tools for industry-leading AI audio.
    8
    MIT
  • A
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    Provides ten hosted audio AI tools — TTS, voice cloning, music generation, stem separation, speaker separation, transcription, denoising, media conversion, and job polling — over a single streamable-HTTP endpoint for any MCP-capable agent.
    MIT
  • A
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    maintenance
    Lets MCP clients such as Claude list, read, search and compare transcripts of Apple Voice Memos on macOS, keeping word-level confidence marks so uncertain words stay visibly flagged. Adds speaker separation, optional local voiceprint recognition, and independent second-reader comparisons that highlight where two engines disagreed.
    MIT
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    An MCP server for audio/video transcription using MLX-optimized Whisper models, offering fast performance on Apple Silicon with support for multiple output formats and batch processing.
    1
    MIT
  • A
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    vidlizer pulls frames out of any video, image, or PDF using ffmpeg, sends them to a vision LLM, and returns a flow array — one entry per scene. Each entry tells you what happened, who was on screen, what text was visible, and what changed. If the video has audio, it transcribes it with Apple MLX Whisper and merges the speech into each step.
    44 PyPI
    3
    MIT
  • A
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    Voice interface for Claude Code enabling hands-free, conversational interaction entirely on-device for Apple Silicon Macs. It provides push-to-talk transcription and automatic spoken responses via local AI models.
    MIT
  • A
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    maintenance
    Enables bidirectional voice interaction for Claude Code using local speech-to-text and text-to-speech models optimized for Apple Silicon. It provides tools to listen to user speech via microphone and speak responses aloud through system speakers.
    16
    Apache 2.0