AI Localization Agent
@l10n.dev
关于 AI Localization Agent
Stop wasting AI tokens on localization. Instead of loading large i18n files into the AI's context, it translates them server-side via MCP (the ai-l10n-mcp package, built on the ai-l10n SDK), saving tokens and keeping the agent focused on coding.
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"l10n": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"ai-l10n-mcp"
],
"env": {
"L10N_API_KEY": "your-api-key-here"
}
}
}
}工具
未检测到工具
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
Large localization files waste tokens, fill your AI agent's context window, and drive up costs. The ai-l10n MCP server lets GitHub Copilot, Cursor, Claude Code, Codex, and Windsurf handle localization efficiently by processing translations server-side instead of loading entire i18n files into the model's context.
Your AI agent sends only the file path and translation options to l10n.dev, while the service performs translation, validates formatting, applies glossaries and style instructions, and returns production-ready results. The result is faster, cheaper, and more reliable localization without sacrificing your AI's coding context.
Key Benefits
- Token-efficient — large localization files never enter your AI's context window.
- Guaranteed format preservation — placeholders, keys, metadata, and file structure are automatically validated.
- Persistent AI glossaries — consistent terminology across every file, translation chunk, and future session.
- Custom linguistic instructions — define tone, style, or branding once and reuse automatically.
- Incremental updates — translate only new or modified strings while preserving existing translations.
- 165 supported languages — context-aware AI translations for modern localization workflows.
- Production-ready output — no manual cleanup or post-editing required.
Instead of treating localization as another prompt, the ai-l10n MCP server gives your coding agent access to a dedicated localization engine built specifically for professional i18n workflows. It keeps your AI focused on writing code while handling translations with the consistency, validation, and efficiency that large multilingual projects require.
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