Language Detector Engine MCP Server with 1 Tools for Claude, Cursor, and AI Agents
Detect the language of any text local using exact n-gram analysis. Supports 400+ languages. When AI guesses wrong on short or mixed text, this engine proves it. Vinkius routes your AI agents directly to Language Detector Engine through a governed connection. 1 tools ready to use with Claude, ChatGPT, Cursor, or any AI agent — no hosting, no setup, connect in 30 seconds.
Ask AI about this server
Compatible with every major AI agent and IDE

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
What is the franc MCP Server?
The franc MCP Server routes AI agents like Claude, ChatGPT, and Cursor directly to franc via 1 tools. Detect the language of any text local using exact n-gram analysis. Supports 400+ languages. When AI guesses wrong on short or mixed text, this engine proves it. Powered by Vinkius — your credentials stay on your side of the connection, every request is auditable. Connect in under 2 minutes.
Built-in capabilities (1)
Tools for your AI Agents to operate franc
Ask your AI agent "Detect the language of this support ticket: 'Não consigo acessar minha conta desde ontem'." and get the answer without opening a single dashboard. With 1 tools connected to real franc data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by Vinkius — your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you the infrastructure to connect your AI agents to thousands of MCP servers — and deploy your own to the Vinkius Edge. Your credentials stay yours. Your data flows directly between your agent and the API. DLP blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade routing and governance, zero maintenance.
Build your own MCP Server with our secure development framework →The Language Detector Engine App Connector works with every AI agent you already use
…and any MCP-compatible client


















Use all 1 Language Detector Engine tools with your AI agents right now
Vinkius routes your AI agents to Language Detector Engine through a governed proxy. Beyond a simple connection, you get full visibility into every action your agents perform, with enterprise-grade security and up to 60% savings on AI costs.
Detect language on Language Detector Engine
Provide as much text as possible for higher accuracy. Detect the language of any text using n-gram analysis. Supports 400+ languages. Returns ISO 639-3 codes (e.g., "por", "eng", "spa")
What the Language Detector Engine MCP Server unlocks
Your customer support agent receives a ticket: 'O produto não chegou'. The AI routes it to the Spanish queue. The agent wastes time, the customer gets angry, SLA drops. Why? Because the AI 'guessed' the language probabilistically instead of calculating it.
This MCP uses franc (200K+ weekly downloads, inspired by Google's CLD2) to perform deterministic N-gram language detection. It returns exact ISO 639-3 codes for over 400 languages, and properly returns 'undefined' if a text is too ambiguous rather than hallucinating.
The Superpowers
- 400+ Languages: From English (eng) and Portuguese (por) to Esperanto (epo) and Zulu (zul).
- Exact N-gram Math: Analyzes text strictly by character frequencies, not LLM probability.
- Whitelist/Blacklist: Know the text must be either Spanish or Portuguese? Pass
only: ['spa', 'por']to force a strict evaluation. - Confidence Scores: Use the
allflag to get an array of all matches with their exact probability scores.
Frequently asked questions about the Language Detector Engine MCP Server
Why is this better than asking Claude to detect the language?
LLMs often hallucinate languages for short strings or names. They also struggle to provide standardized ISO codes reliably. This engine uses mathematical N-gram analysis (the same technique behind Google Search language detection) to deterministically map text to one of 400+ ISO 639-3 codes.
What does it mean if it returns 'und'?
'und' stands for Undefined. It means the text is too short, mostly numbers, or too ambiguous to confidently map to a single language. This is a feature — it prevents your routing logic from making false assumptions.
Can I force it to choose between specific languages?
Yes. Pass an array of ISO 639-3 codes to the 'only' parameter (e.g., ['eng', 'por', 'spa']). The engine will only calculate probabilities within that subset.
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We built the connector to Language Detector Engine. Now put your agents to work. Fully governed.
Vinkius is the AI Gateway with managed hosting. Stop building connectors. Every connection runs inside eight layers of security.
Hosted, sandboxed, and live on AWS. You don't provision anything. You don't maintain anything. You connect.
Every tool call, every token, every response. Logged and auditable. Data flows direct from Language Detector Engine to your agent. Nothing is stored on our side. Ever.
Eight governance layers on every request. Sensitive data redacted before it reaches the model. Kill switch if anything goes sideways. Always on.
