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.

@DevnagriAI
基本情報
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.
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": {
"devnagri-translation": {
"command": "npx",
"args": [
"@devnagriai/devnagriai-translate-mcp",
"API_KEY=\"your_devnagri_api_key\""
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
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.
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.
It runs via NPX (Node.js) or a local Node environment. An API key from Devnagri is required.
Translations are processed through the Devnagri API; no data is stored locally by the server.
Use the standard MCP configuration: set the command to `npx @devnagriai/devnagriai-translate-mcp` and pass the `API_KEY` environment variable.
The server uses standard MCP transport (stdio). Authentication is via the API key passed at startup.
The README does not specify any; consult the Devnagri API documentation for usage limits.
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