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    Exposes a single transcribe tool over streamable HTTP so containerised agents can send a media file name and receive text transcribed locally by MacWhisper on the host Mac's GPU, with token-gated access and no uploads or API keys. Callers place media in a configured directory, and the blocking call returns the finished transcript.
    MIT
  • F
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    D
    maintenance
    A lightweight MCP server that provides offline text-to-speech via native OS speech engines. It allows AI assistants to speak task summaries instantly with no network calls.
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    Enables remote management of HyperFrames video projects over Streamable HTTP, including project creation, file authoring, linting, validation, composition inspection, rendering, transcription, TTS, catalog access, documentation, and CLI operations.
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    Enables spoken conversations with Claude on a Mac: Claude speaks through speakers, listens to the user's natural replies, and transcribes them locally. No audio leaves the computer, and it includes tools for voice setup and a hands-free voice mode.
    2
    110 npm
    MIT
  • A
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    Image, video, chat and text-to-speech models (GPT Image, Gemini Image, Veo, Kling, Seedance, Claude, GPT, Gemini) behind one API key. generate_image returns a preview the model can see, and review_image has a vision model critique the result and propose a corrected prompt, so an assistant can generate, check and fix images on its own.
    6
    466 npm
    1
    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
    54 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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    Provides text-to-speech synthesis using Microsoft Edge's free TTS engine, supporting multiple voices, languages, and audio output options (base64 or file).
    3
    MIT
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    Enables AI apps to transcribe local audio and video files on the user's own GPU, producing SRT/VTT subtitles and text without cloud uploads. It also helps find media files, list available devices, and list supported languages and models.
    4
    5
    MIT
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    Enables MCP-compatible LLMs to control Amazon Alexa devices by sending announcements, text commands, and SSML speech, as well as managing smart-home groups, routines, lists, volume, Do Not Disturb, and sensor queries.
    19
    MIT
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    Enables text-to-speech functionality on macOS using the say command, offering extensive control over speech parameters like voice, rate, volume, and pitch for a customizable auditory experience.
    2
    14 npm
    20
    MIT