Language Detector Engine MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 1 tools to Detect Language

Name: Language Detector Engine
Price: 29 USD
Availability: InStock
Rating: 2.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Language Detector Engine through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

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The Language Detector Engine MCP Server for Vercel AI SDK is a standout in the Customer Support category — giving your AI agent 1 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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typescript

import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Language Detector Engine, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

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About Language Detector Engine MCP Server

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.

The Vercel AI SDK gives every Language Detector Engine tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 1 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

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 all flag to get an array of all matches with their exact probability scores.

The Language Detector Engine MCP Server exposes 1 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 1 Language Detector Engine tools available for Vercel AI SDK

When Vercel AI SDK connects to Language Detector Engine through Vinkius, your AI agent gets direct access to every tool listed below — spanning n-gram-analysis, language-detection, deterministic-logic, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

detect

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")

Connect Language Detector Engine to Vercel AI SDK via MCP

Follow these steps to wire Language Detector Engine into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the script

Save to agent.ts and run with npx tsx agent.ts

Explore tools

The SDK discovers 1 tools from Language Detector Engine and passes them to the LLM

Why Use Vercel AI SDK with the Language Detector Engine MCP Server

Vercel AI SDK provides unique advantages when paired with Language Detector Engine through the Model Context Protocol.

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Language Detector Engine integration everywhere

Built-in streaming UI primitives let you display Language Detector Engine tool results progressively in React, Svelte, or Vue components

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Language Detector Engine + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Language Detector Engine MCP Server delivers measurable value.

AI-powered web apps: build dashboards that query Language Detector Engine in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate Language Detector Engine tools and return structured JSON responses to any frontend

Chatbots with tool use: embed Language Detector Engine capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with Language Detector Engine through natural language queries

Example Prompts for Language Detector Engine in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Language Detector Engine immediately.

"Detect the language of this support ticket: 'Não consigo acessar minha conta desde ontem'."

"We only support English and Spanish. Detect the language of 'Hola como estas' using the whitelist."

"Get the top 3 language probabilities for this ambiguous name: 'Alejandro'."

Troubleshooting Language Detector Engine MCP Server with Vercel AI SDK

Common issues when connecting Language Detector Engine to Vercel AI SDK through Vinkius, and how to resolve them.

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Language Detector Engine + Vercel AI SDK FAQ

Common questions about integrating Language Detector Engine MCP Server with Vercel AI SDK.

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.