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20 Best Browser Automation MCP Servers: compared and ranked, September 2026Ranked from 2,971 matching servers on stars, growth, downloads and maintenance. Updated .

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    MCP server for managing i18n translation files — gives your AI agent full control over your app's translations without dumping entire locale files into context.
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    MIT
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    Translates Japanese text into English using the Textra API service, enabling LLMs with limited Japanese understanding to process Japanese instructions.
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    MIT
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    An MCP server that provides LLM agents with full access to the Texterify translation management API. It enables users to search, create, update, and delete translation keys and their values directly through natural language within their development environment.
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    ISC
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    Enables law firms and legal professionals to turn Arabic and English contract files into structured, citable context, with clause segmentation, date conversion across Hijri and Gregorian calendars, party extraction, and anchor-based verification, all without API keys or network calls.
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    MIT
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    Provides AI models with tools to proofread and format Chinese text before delivery, covering typos, punctuation, casing, spacing, and platform-specific character limits. It runs as a zero-dependency MCP service so the model checks and fixes its own Chinese writing automatically.
    4
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    MIT
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    Provides text translation capabilities using the Niutrans API, supporting 455+ languages with code/alias mapping through a language catalog resource.
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    5
    MIT
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    Provides AI agents with direct access to local Yomitan dictionary databases for offline Japanese vocabulary lookups, kanji searches, and sentence tokenization. It leverages the Yomitan browser extension's API to enable rich dictionary interactions and Anki flashcard field generation.
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    Mozilla Public 2.0
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    An MCP server that wraps the Tolgee localization platform API, enabling LLMs to manage translation projects, keys, translations, languages, and related workflows.
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    MIT
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    An MCP server that provides access to the Similar Words API, allowing users to search for and retrieve semantically related words. It enables language-based applications to query word similarities and relationships through a standardized interface.
    1
    MIT