Devnagri Translation MCP Server
@DevnagriAI
About 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.
Basic information
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"devnagri-translation": {
"command": "npx",
"args": [
"@devnagriai/devnagriai-translate-mcp",
"API_KEY=\"your_devnagri_api_key\""
]
}
}
}Tools
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Overview
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.
FAQ from Devnagri Translation MCP Server
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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