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    Enables an AI assistant to have its recent code actions summarized aloud through system speakers, using offline native voices or cloud neural voices. It supports asynchronous playback and voice listing so users can hear what the agent did without reading the full response.
    3
    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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    12 npm
    MIT
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    A Node.js server that enables AI assistants to interact with Bouyomi-chan's text-to-speech functionality through Model Context Protocol (MCP), allowing for voice reading of text with adjustable parameters.
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    MIT
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    MCP server for ElevenReader TTS service. Enables document management, URL/ebook upload, voice configuration, and progress tracking.
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    23 PyPI
    2
    MIT
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    A Model Context Protocol server that provides text-to-speech functionality for AI agents using Microsoft Edge's text-to-speech technology, supporting multiple voices, languages, and voice customization.
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    MIT
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    Enables assistants to open scripts in a centered, multilingual reader with direct paste, locale-aware word tracking, manual sentence navigation, pause/auto-scroll, and optional browser or OpenAI speech recognition.
    MIT
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    Enables local, offline, CPU-only transcription of video/audio into timestamped SRT subtitles with Whisper, Chinese TTS dubbing (including multi-speaker dialogue), and synthesis of a new dubbed video in a single command. Supports dubbing silent videos, translating and re-voicing foreign-language videos, and batch-adding narration to short clips within AI workflows.
    MIT
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    Provides local speech-to-text and text-to-speech through MCP and HTTP, enabling transcription, voice output, and standalone voice workflows without a gateway.
    MIT
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    Enables AI clients to turn text into synthesized speech through a remotely hosted GPT-SoVITS model, returning a signed, time-limited audio link that can be played or downloaded. Supports Chinese and English text with your own reference audio for voice and tone.
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    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.
    20 PyPI
    MIT
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    An MCP server that provides ElevenLabs text-to-speech as a Leo provider package, enabling text synthesis to base64 audio and voice listing through the Leo speech pipeline.
    MIT
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    Bridges a running GPT-SoVITS API into MCP clients for local speech synthesis with reference-audio emotion mapping, dialogue WAV stitching, voice and status inspection, and bounded audio resource retrieval over stdio or Streamable HTTP.
    1
    MIT
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    Enables AI agents to ring or text a user's actual iPhone, read a question or update aloud, and return the spoken answer back to the agent as text. Calls and messages land in a single titled thread per agent, with tools for polling results, waiting for replies, and labeling conversations.
    32
    MIT
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    Enables Alexa+ and other voice agents to tell personalized, feelings-aware bedtime stories using a child's saved hero profile, with interactive choices, timed wind-down stories, and optional MP3 narration.
    MIT
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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
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    Enables cloning a voice from a local audio or video file and generating shareable audio-reactive waveform MP4 videos of spoken text, with customizable palettes, photos, and layouts, all through natural language from MCP-aware agents.
    MIT