"JSON Web Tokens" matching MCP servers:

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.

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.

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.

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 .

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 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.

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.

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.

Enables AI agents to access paid tools like crypto prices, weather, translation, and web intelligence via per-request USDC payments on Base, with no API keys or subscriptions.

Enables AI assistants to capture screenshots and PDFs, read web pages as Markdown, preview links, look up DNS/SSL/WHOIS and email records, verify addresses, generate QR codes, barcodes and social images, convert images, and translate text.

Picks the right PhoText (photext.ai) web tool to edit, replace, remove or translate text inside images and screenshots while keeping the original font, or to identify a font. No API key needed.

An MCP server for internationalization (i18n) tasks, providing tools to translate, move, list, and remove translation keys in JSON files for the Kilo Code extension.

Enables Japanese-to-Korean manga translation via a two-stage pipeline (Hy-MT2 and Qwen) through an MCP endpoint, with a headless web UI and JSON HTTP API.

A learning-focused MCP server with two tools: a static 'hello' tool and a 'polyglot' tool that uses LangChain to detect language and return structured JSON.

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.

An MCP server that lets AI agents read and write locale JSON translation files directly from the conversation without loading the whole catalog into context.

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.