"Agent File Control MCP Server" matching MCP servers:

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.

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.

prevents llm from overload, freeze and oscillation

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 .

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.

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.

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.

Assists MDN Japanese translation tasks by automating file copying from English content, synchronizing source commits, and performing guideline-based reviews.

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 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.

Enables Codex to delegate bounded, low-risk text work such as extraction, summarization, translation, and code drafts to a local WorkBuddy installation, returning small inspectable drafts for the main agent to verify.

Enables agents to keep per-language JSON locale files synchronized with an English source by translating changed keys via MyMemory, validating placeholder tokens, pruning deleted keys, and flagging failures for manual agent translation.

Real-time English ↔ Mandarin Chinese speech translation for Claude. Transcribes audio locally with Whisper, translates via Claude API, and synthesises speech locally with Piper TTS. Pass a WAV file path. Claude handles the rest.

Enables converting video and audio files into transcripts and Traditional Chinese subtitles using Groq Whisper with a pluggable translation backend, including an English-to-Chinese pipeline and a Chinese-to-Taiwanese-Mandarin proofreading pipeline. Transcriptions run as background jobs whose progress, output subtitle paths, and setup status can be queried through the conversation.

MCP server for the Codex Bilingual Overlay, enabling control of bilingual translation modes (off, hover, preload) and retrieval of overlay status for the Codex desktop app.

A Model Context Protocol server for reading, writing, and managing GNU Gettext .po translation files, enabling language models to perform file operations, entry management, partial updates, and fuzzy entry detection.

Enables automatic discovery and fast searching of translation files in projects, supporting partial/exact key-value matching with file watching and multiple translation file formats.

Spanish dialect localization MCP server and CLI. It translates and QA-checks content across 25 regional variants with register control, structure preservation, and adversarial quality gates.

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 AI agents to search for sworn and qualified interpreters and manage on-site, phone, and video assignments on behalf of a customer account. Supports creating booking requests, selecting available interpreters, reading booking and payment status, requesting changes, and cancelling bookings.

Enables AI video dubbing from any MCP-capable agent: upload a video or provide a URL, submit a dubbing job, poll progress, and download the finished MP4.

Unified MCP server for media acquisition, subtitle automation, and agent-run media workflows, enabling downloads via Prowlarr/qBittorrent and subtitle translation/sidecar creation.

Provides translation capabilities using the DeepL API, supporting text translation between numerous languages, rephrasing, batch translation, document translation, and language detection with formality control.

AI-powered translation management built for AI agents. Automate localization with regional sensitivity and zero TMS overhead. Works with Claude Code, Cursor, VS Code via MCP protocol. Supports JSON, YAML, Markdown, PO and more.

Exposes Sarvam AI's speech, translation, chat, and document APIs as typed MCP tools for any MCP-capable agent.

MCP server for Sonenta translation management, enabling key/translation management, agent observability sessions, and prompt library access via natural language.

Enables translation management through Smartling's API, supporting project and file operations, job management, quality assurance, glossaries, and translation workflow automation for multilingual content.

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.

This MCP gives you full control over your translation projects from start to finish. You can log in anytime to see what stage your project is in — whether it’s being translated, reviewed, or completed. You don’t have to guess or follow up via email.

Lets a coding agent find, translate, validate and review an app's existing localization files (Android strings.xml, Apple String Catalogs, gettext) directly in the repo, supplying code usage, comments, glossary and voice notes as context. Placeholders, plural forms, escaping and markup are checked in code before any translation is written, and results land as reviewable drafts that never overwrite hand edits or approved work.