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i18n Agent - AI Translation Management via MCP

@loking

About i18n Agent - AI Translation Management via MCP

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.

Basic information

Category

AI & Agents

Transports

stdio

Publisher

loking

Submitted by

Kwun Ng

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

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Overview

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

Comments

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