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20 Best Browser Automation MCP Servers: compared and ranked, October 2026Ranked from 3,852 matching servers on stars, growth, downloads and maintenance. Updated .

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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 AI assistants to convert text to high-quality speech audio using MeloTTS. Automatically splits long texts into segments, generates WAV files, and merges them using ffmpeg with support for multiple languages and customizable speech parameters.
    MIT
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    Enables coding agents to hold spoken conversations by exposing speech-to-text and text-to-speech tools over MCP, routing them to a local daemon that drives a Chrome window using on-device speech recognition and Piper synthesis. It supports listening, speaking, and reading files aloud within a Claude Code plugin or an MCP gateway.
    1 npm
    MIT
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    Enables text-to-speech synthesis using VOICEVOX Web API with customizable speaker selection. Features a specialized tool for generating speech as Asuka Langley from Evangelion and provides access to available speaker lists.
    Apache 2.0
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    Enables text-to-speech and speech-to-text through MCP tools, using Groq's free hosted endpoints when configured and falling back to fully local keyless models otherwise. Also provides voice listing and provider health checks.
    4
    MIT
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    Enables local text-to-speech synthesis for Claude and Cursor using Supertonic 3, with support for multiple voices, expressions, and languages. No API key or cloud required.
    3
    MIT
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    Enables AI agents to speak using MacOS native text-to-speech, with support for blocking and non-blocking speech and a sequential queue.
    2
    15
    MIT
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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.
    2
    34 npm
    3
    MIT
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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
    234 PyPI
    MIT