"Git for Windows" matching MCP servers:

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.

MCP server for translating PDFs using pdf2zh-next, preserving document context by extracting all text segments for LLM translation at once.

Translation quality evaluation MCP Server powered by xCOMET. Provides quality scoring (0-1), error detection with severity levels, and optimized batch processing for AI-assisted translation workflows.

Manage app strings, locales, and A/B string variants, then publish Ed25519-signed string bundles for over-the-air text updates in iOS, Android, web, and React Native apps.

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.

Enables fetching YouTube video transcripts from any URL without API keys, browser, or OAuth, with honest error reporting for missing transcripts and support for multiple languages, formats, and resilient provider fallbacks.

Finds new UI translation keys in your codebase, dedup-checks them against a Blocks/UILM tenant, and generates the JSON the Blocks portal expects for import.

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.

A language expression coach MCP server that provides native-sounding translations with cultural context, tone notes, and audio pronunciation for over 13 languages.

prevents llm from overload, freeze and oscillation

Provides translation tuning by adjusting model output for naturalness, tone, and script per language pair, supporting en-jp and en-es.

An MCP server that translates scientific PDF documents while preserving original formulas, charts, and layout. It utilizes an OpenAI-compatible backend to provide tools for document translation and language listing.

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.

MCP server for page-level i18n translation using Alibaba Cloud Qwen models, supporting incremental translation, glossary, and multiple target languages.

Enables MCP clients to replace hardcoded text in source files with i18n resource keys, with support for previewing changes, profiles, resource sets, and machine translation.

Checks AI-written Japanese business text for double honorifics (二重敬語) and the honorific chains the 「敬語の指針」 guideline deems inappropriate, returning each offending span with its reason and suggested fix, and can rewrite the text with those fixes applied. Runs offline and read-only, so agents get the same deterministic answer on every pass.

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.

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.

Enables OCR of local images through a public endpoint and writes the extracted text to a specified file, optimized for Tibetan, Sanskrit, and Devanagari input with optional transliteration.

MCP server for Cantonese lyric writing, offering Jyutping romanization, tonal pattern analysis, and rhyming character lookup.

MCP server for AI-powered translation management in i18n projects, enabling automated locale detection, translation status checks, and sync via LangAPI.

Enables AI agents to format, validate, and compare Japanese bank-transfer account names for Zengin compatibility, including half-width katakana conversion, legal-entity abbreviation rules, length checks, and reconciliation matching. All tools are read-only and offline.

Provides AI agents with local Dutch spelling and word validation using OpenTaal/hunspell, plus detailed word information from woordenlijst.org. It enables checking full texts or individual words and retrieving linguistic details for Dutch writing tasks.

An MCP server for managing Rails-style localization files (YAML/JSON), enabling coding agents to read, search, write, and audit translations without hand-editing files.

Enables AI assistants and MCP clients to look up Gujarati words in real dictionary data for meanings, synonyms, idioms, and inflected forms, with source attribution and typo suggestions. It also tells the model when a word is not found so it avoids guessing.

A Model Context Protocol server that enables users to manage translations for their applications through SimpleLocalize's localization platform via natural language prompts in Cursor.

An MCP server that automatically translates Android app string resources to multiple languages by detecting changes in default strings.xml files using Git diff. It supports batch translation, preserves formatting placeholders, and works with multiple Android modules.

Enables AI agents to translate PDFs, scanned PDFs, DOCX, EPUB files and page images into 70+ languages while rebuilding the original layout, with OCR for scans and free uploads that return an exact price before anything is charged. Agents can then start the job, poll its progress, and download the finished file in its original format.

MCP server for TERMDAT, the terminology database of the Swiss Federal Administration, giving AI agents officially validated designations of Swiss authorities, departments, and legal acts across DE/FR/IT/EN with source references and validation status.

Enables agents to translate documents such as DOCX, PPTX, PDF, XLSX, and TXT files, plus ZIP/7Z/RAR batches, across many translation engines. Exposes tools for checking credits, listing engines, quoting per-page costs, uploading documents to place orders, tracking task progress, and retrieving download links.

Enables comparing local JSON/YAML locale files to find missing or extra keys against a base locale, detect empty, null, or whitespace translations, and list flattened dot-path keys for a single file. Works entirely on local files with no network calls or translation APIs.

MCP server for managing i18n JSON translation files. Provides Claude with structured read/write access to translation files for adding keys, checking coverage, and finding duplicates.

Multilingual intelligence + memory + safety + voice layer for autonomous AI agents

A local-first cognitive substrate for neurodivergent professionals. Gives Claude memory, a sense of time, a translator for corporate ambiguity, and a guardrail that refuses to amplify rumination, hyperfocus, or sycophancy. MCP-native. No telemetry. AGPL-3.0-or-later. Self-ID sufficient — no diagnosis gating.

Enables AI agents to inspect, audit and safely edit locale JSON files across flat, nested, and namespaced layouts without loading whole files into the model context, with compact token-efficient reads and write paths that cannot drop keys or overwrite silently. Ships ten tools plus slash-command prompts for project info, key search, reference lookup, translation upserts, and missing-translation audits.

An MCP server for Djelia that brings Bambara transcription, translation, and text-to-speech to any LLM.

Enables integration of DeepSeek's language models with MCP-compatible applications, offering features like chat completion, custom model selection, and parameter control for enhancing language-based interactions.

Extracts text nodes from Figma designs and organizes them into structured JSON for internationalization workflows. It enables users to pull content from specific frames or entire files to automatically generate translation keys.

Routes commodity NLP tasks like summarization and translation to free-tier LLMs, saving Claude tokens for complex work.

Enables fetching and analyzing YouTube video comments and replies through the YouTube Data API. Supports sorting by relevance or time and returns structured JSON data for comment analysis, summarization, and translation tasks.