Devnagri Translation MCP Server

@DevnagriAI

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

DevnagriAI

提交者

Deva From Devnagri

关于 Devnagri Translation MCP Server

A JavaScript-based Model Context Protocol (MCP) server providing translation, language detection, and supported language listing via Devnagri AI APIs, with a focus on Indic languages.

#mcp #translation#indic#language

Devnagri Translation MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "devnagri-translation": {
      "command": "npx",
      "args": [
        "@devnagriai/devnagriai-translate-mcp",
        "API_KEY=\"your_devnagri_api_key\""
      ]
    }
  }
}

Devnagri Translation MCP Server 工具

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点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Devnagri Translation MCP Server?

A Model Context Protocol (MCP) server that provides text translation, language detection, and language listing across 35+ languages, with special support for major Indic languages. It is designed for developers integrating AI tools like Cursor, Claude, Windsurf, or other MCP-compatible platforms.

How to use Devnagri Translation MCP Server?

Run it directly via NPX with your API key: npx @devnagriai/devnagriai-translate-mcp API_KEY="your_devnagri_api_key". It can also be set up locally with a .env file and standard MCP CLI tools. Once running, the server exposes three tools: translate, detect_language, and list_supported_languages.

Key features of Devnagri Translation MCP Server

Translation between 35+ languages including all major Indic languages.
Language detection for any input text.
Lists all supported languages on demand.
MCP protocol ready for AI tool integration.
Robust error handling and validation.
Extensive test suite.

Use cases of Devnagri Translation MCP Server

Building multilingual AI assistants that translate user queries in real time.
Adding language detection to content pipelines or chat applications.
Providing users with a list of available languages for selection in translation UIs.

常见问题

What runtime or dependencies does the server require?

It runs via NPX (Node.js) or a local Node environment. An API key from Devnagri is required.

Where does the translation data live?

Translations are processed through the Devnagri API; no data is stored locally by the server.

How do I configure it for Cursor or Claude?

Use the standard MCP configuration: set the command to `npx @devnagriai/devnagriai-translate-mcp` and pass the `API_KEY` environment variable.

What transports or authentication does it support?

The server uses standard MCP transport (stdio). Authentication is via the API key passed at startup.

Are there any known limits or rate limits?

The README does not specify any; consult the Devnagri API documentation for usage limits.

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