"Information about the DOCX file format or tools for handling DOCX files" matching MCP servers:

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.

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.

Enables internationalization tasks such as language detection, hardcoded string extraction, translation JSON analysis, plural rule generation, and locale-aware formatting through the Model Context Protocol.

Enables AI agents to read and write JSON translation files (i18n, i18next, react-i18next) via the Model Context Protocol.

Provides internationalization MCP tools enabling AI agents to perform translations, locale management, and i18n operations.

An MCP server providing tools for speech-to-text, translation, language detection, question answering, and text-to-speech using Sarvam AI models, enabling multilingual voice agents.

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.

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.

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.

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.

Enables AI agents to repair OCR-mangled Japanese dates only when calendar validation confirms the corrected result, and to check individual dates against their era ranges.

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.

Enables document translation across multiple languages and AI-powered semantic search of PubMed literature. Supports various document formats including PDF, DOCX, PPTX with status tracking and customizable search parameters.

Enables AI agents to validate Israeli ID and company numbers, normalize Israeli phone numbers, calculate date-aware VAT, convert Gregorian dates to the Hebrew calendar, and format Hebrew numerals or process niqqud and gematria.

Provides access to synonyms and antonyms for words through the API Ninjas Thesaurus API, enabling vocabulary enhancement and word exploration.

Counts characters and words in both Japanese and English text files, with special handling for Japanese morphological analysis and proper character counting excluding spaces and line breaks.

Provides dictionary lookup functionality through the API Ninjas Dictionary API, allowing users to search for word definitions and meanings through natural language queries.

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.

Enables access to Humanizer APIs for text humanization with multiple models including basic, easy-use, and multi-language support. Requires API key authentication.

MCP server for the Humanread novel publishing platform, enabling AI agents to upload, format, preview, review, translate, and publish novels in Markdown or safe HTML.

Enables Chinese text segmentation using the jieba library with support for precise, full, and search engine modes. Provides natural language access to professional Chinese word segmentation capabilities through MCP protocol.

Enables translation of SRT subtitle files from English to Japanese using local LLM servers like LM Studio. Parses SRT format files and returns translated subtitles in proper SRT format through OpenAI-compatible APIs.

Enables MCP-aware clients to manage inlang i18n catalogs, including discovering projects, parsing catalogs, handling keys, locales, variants, plurals, validating translations, and compiling messages, without parsing catalog files themselves.

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.

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.

English-first Korean equity intelligence MCP — translates Korean DART filings, foreign-holder 5%-rule flows (BlackRock / Vanguard / Norges / GIC plus 16 more), activist filings (KCGI / Align / ValueAct / Elliott), and KRX industry news to English on demand. 7 MCP tools, OSS self-host under AGPL-3.0.

Integrates the levelang.app translation API with AI assistants to provide translations constrained to specific learner proficiency levels. It supports multiple languages and allows users to control translation styles and moods while dynamically discovering available language configurations.