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"Techniques for Document Compression and Chunking" matching MCP servers:

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    Provides text-to-speech capabilities using Google's Gemini TTS API with support for multiple voices, automatic chunking of long text, multi-speaker dialogue, and audio playback via Windows Media Player.
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    Provides text-to-speech and Telegram notification capabilities via the Model Context Protocol. Supports multiple TTS providers and Telegram messaging with optional setup web interface.
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    3
    MIT
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    Provides speech recognition (STT) and synthesis (TTS) tools via the Sber SaluteSpeech API, enabling audio transcription and voice generation through natural language.
    5
    41
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    MIT
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    An MCP server that enables text-to-speech generation and phonetic kana conversion using VOICEROID2 via voiceroid_daemon. It supports customizable voice parameters and provides cross-platform audio playback for synthesized speech.
    3
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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
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    MIT
  • A
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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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    2
    MIT
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    MCP server for ElevenReader TTS service. Enables document management, URL/ebook upload, voice configuration, and progress tracking.
    17
    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.
    2
    8
    MIT
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    MCP server that exposes OpenClaw Gateway tools to Claude Code and other MCP clients, enabling messaging, session management, scheduling, node control, web search, memory search, and TTS.
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    14
    MIT
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    This server enables AI models to send SMS messages and initiate Text-to-Speech calls programmatically using ClickSend's API with built-in rate limiting and input validation.
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    3
    MIT
  • A
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    Provides voice summaries after each AI request in Cursor, Cline, or any MCP-supported editor, allowing users to hear what was done and stay informed without staring at the screen.
    9
    MIT