I18n Tools is a comprehensive internationalization and localization toolkit designed for AI agents and development workflows, providing capabilities via an MCP (Model Context Protocol) server.

What specific features does I18n Tools offer?

It offers language and locale detection, extraction of hardcoded strings from source code, analysis of translation JSON files, generation of CLDR plural forms, and locale-specific formatting for numbers, currencies, dates, and relative times.

How does I18n Tools ensure translation quality and consistency?

The `analyze_translations` tool checks translation JSON files for missing/extra keys, structural discrepancies, interpolation mismatches, and empty/unused values across different locales, ensuring high translation quality.

Can it help developers identify strings for translation?

Yes, its `extract_i18n_keys` feature automatically finds hardcoded user-facing strings in JSX/TSX, HTML, console logs, error messages, and dialogs, suggesting i18n keys for easier internationalization.

How does I18n Tools benefit AI agents?

It provides AI agents with the capabilities to understand and interact in various languages and locales, ensuring their outputs and understanding are globally relevant and localized appropriately.

I18n Tools: AI Agent & Dev Internationalization & Localization

This powerful Model Context Protocol (MCP) server extends AI agent capabilities with essential internationalization (i18n) and localization (l10n) functionalities. It offers a suite of tools designed to handle everything from accurately detecting languages in user input and extracting hardcoded strings from source code for translation, to meticulously managing translation files for consistency and applying correct pluralization rules. Furthermore, it provides robust locale-specific formatting for numbers, currencies, dates, and relative times, making it an indispensable asset for building truly global and culturally aware AI applications.

주요 기능

01Analyze translation JSON files for missing/extra keys, structure/interpolation mismatches, and empty/unused values.

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03Generate plural form categories for any locale following CLDR rules and classify test numbers.

04Detect language and locale of text with confidence scores and alternate candidates.

05Format numbers, currencies, dates, and relative times according to specific locale standards using `Intl` APIs.

06Extract hardcoded user-facing strings from source code (JSX/TSX, HTML, console logs, error messages) for internationalization.

사용 사례

01Empowering AI agents to understand and respond naturally in diverse languages and cultural contexts.

02Automating the identification and extraction of user-facing strings from codebases to streamline the internationalization process.

03Ensuring consistency and accuracy across translation files by detecting common errors and structural issues.

04Developing applications that dynamically format numerical, monetary, and temporal data based on user's locale.