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    AI localization from your editor — translate an app's string files into 46 languages with placeholder-safe, reproducible output. Eleven formats (JSON, .arb, .po, .strings, Android XML and more), and every translation is read back and checked before it lands.
    7
    788 PyPI
    MIT
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    A local-first multilingual dictionary, thesaurus, translation, lexical-relations, semantic-neighbour, and English wordplay server for the Model Context Protocol (MCP). It operates fully offline with read-only query access and no data mutation while running.
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    Apache 2.0
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    Lets AI agents read and write the Calibre Ebook Translator plugin's translation cache chunk by chunk, enabling direct book translation workflows without manual copy-paste.
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    MIT
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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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    251 npm
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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.
    23 npm
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    ISC
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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.
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    MIT
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    Translate PDF, Word (DOCX), Excel (XLSX) and PowerPoint (PPTX) files, images, subtitles and text. Turn audio and video into transcripts or translated subtitles. Preserve layout where supported. Requires an Equalang API key and credits.
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    61 npm
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    Apache 2.0
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    Translation QA for i18n locale files. Deterministic validators — missing keys, placeholder drift, collapsed plurals, glossary breaches — that need no API key, plus a review tool that hands translation pairs and judging criteria back to the calling agent, so meaning-level review runs on the model your client already has. Translation with your own LLM key is optional. JSON, Flutter .arb, Apple .
    8
    Apache 2.0
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    MCP server for HumanPen that lets AI agents work on real documents (.docx, .pptx, .pdf) — humanizing content to lower AI-detection scores, converting citations, condensing, and translating while preserving formatting, tables, images, and citations.
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    380 npm
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    Apache 2.0
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    Enables Claude and other MCP clients to look up German Wiktionary entries directly, checking whether words exist and returning parts of speech, gender, plural and case forms, verb conjugations, adjective declensions, IPA, meanings, etymology, synonyms and examples. It also supports full-text title search with spelling suggestions and retrieval of raw page wikitext for anything the structured tools omit.
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    Apache 2.0
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    Provides text translation capabilities powered by NiuTrans API with support for 455+ languages. Includes translation tools and language catalog resources for seamless integration with MCP clients.
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    8
    MIT
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    Delegates replaceable grunt work (boilerplate, formatting, translation, long-document summarizing) from a premium agent to cheap models behind a local LiteLLM proxy, auto-routing each task by type. Delegated calls run in a separate process, so the subscription session and the API credentials never share an environment.
    3
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    MIT
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    Provides Japanese UX conventions as an MCP server to help AI generate correct Japanese UI elements like proper name order, furigana, phone formats, and polite language. It includes tools for form generation, validation, keigo suggestions, and cultural adaptation for developers building Japanese-facing products.
    6
    80 npm
    MIT
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    Enables transcription and subtitling of Tunisian Derja mixed with French and English, speech and voiceover generation, translation, and Arabizi–Arabic script conversion inside MCP clients. It also supports speaker diarization, subtitle translation, transcript search, and audio editing.
    16
    470 npm
    MIT