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i18n Agent - AI Translation Management via MCP

@loking

i18n Agent - AI Translation Management via MCP について

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 files.

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

公開者

loking

投稿者

Kwun Ng

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp-client-loking": {
      "command": "npx",
      "args": [
        "@i18n-agent/mcp-client",
        "install",
        "--claude-code"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is i18n Agent - AI Translation Management via MCP?

It is an MCP (Model Context Protocol) client that installs translation management tools directly into AI development environments like Claude Code, Gemini IDE, and Cursor. It enables AI assistants to perform context-aware translations with cultural and industry-specific terminology.

How to use i18n Agent - AI Translation Management via MCP?

Install the MCP client by running npx @i18n-agent/mcp-client install [--claude-code | --gemini | --cursor]. You can pass an API key via --api-key or use a demo key. After installation, invoke translation tasks directly through your AI assistant using natural language prompts like “Translate this text to Spanish.”

Key features of i18n Agent - AI Translation Management via MCP

  • One-click installation for Claude Code, Gemini IDE, and Cursor
  • Translate text with cultural and industry-specific context
  • Translate entire files preserving structure (JSON, YAML, XML, etc.)
  • List supported language pairs with quality ratings
  • Enterprise-grade security and data protection

Use cases of i18n Agent - AI Translation Management via MCP

  • Translate UI localization files (JSON, YAML, CSV) while preserving format
  • Get real-time translation assistance for text in AI chat interfaces
  • List available language pairs with quality ratings before starting a project
  • Integrate context-aware translation into developer

コメント

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