"An overview of OSINT (Open Source Intelligence)" matching MCP servers:

Enables AI assistants to run guarded local Word translation workflows via MCP tools, with bounded batches, preservation of protected content, and safe new-file output.

Provides open-source machine translation capabilities, including language detection and listing supported languages, via a customizable LibreTranslate endpoint.

Open-source, self-hosted translation management system with an MCP server that enables AI agents to manage projects, locales, keys, and translations via natural language, and includes a CLI for deterministic file syncing.

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.

Provides access to the Database of Icelandic Morphology (BÍN) to look up word inflections, variants, and lemmas. It enables LLMs to answer grammatical questions and retrieve specific Icelandic word forms using standard grammatical tags.

prevents llm from overload, freeze and oscillation

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.

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.

Enables translation of Excel files using Claude AI while preserving formatting, formulas, and data integrity.

An MCP server that integrates EstNLTK to provide Estonian language tools (morphology, spell-check, synonyms, etc.) for AI agents, enabling correct Estonian text processing and generation.

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.

A Docker-based MCP server wrapping the Smartling CLI, enabling natural language management of translation projects, files, and glossaries.

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 AI agents to transcribe, translate, and summarize audio via Zoom AI Services APIs, providing an 'ear' through tools like transcribe_audio, summarize_transcript, and translate_text.

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.

An intelligent PDF translation assistant specializing in academic papers with mathematical formulas, enabling context-aware translation with layout preservation.

Provides local anonymization of Czech legal documents by replacing sensitive entities with pseudonyms to ensure privacy during LLM interactions. It allows users to safely process documents like contracts and judgments by keeping original data offline and facilitating local deanonymization.

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.

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.