Language Detector Engine MCP Server for OpenAI Agents SDKGive OpenAI Agents 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 OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Language Detector Engine through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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The Language Detector Engine MCP Server for OpenAI Agents 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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+ other MCP clients

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Language Detector Engine Assistant",
            instructions=(
                "You help users interact with Language Detector Engine. "
                "You have access to 1 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Language Detector Engine"
        )
        print(result.final_output)

asyncio.run(main())

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* 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

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 OpenAI Agents SDK auto-discovers all 1 tools from Language Detector Engine through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Language Detector Engine, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK

When OpenAI Agents 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 OpenAI Agents SDK via MCP

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

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 1 tools from Language Detector Engine

Why Use OpenAI Agents SDK with the Language Detector Engine MCP Server

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

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Language Detector Engine + OpenAI Agents SDK Use Cases

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

Automated workflows: build agents that query Language Detector Engine, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Language Detector Engine, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Language Detector Engine tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Language Detector Engine to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Language Detector Engine in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK

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

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Language Detector Engine + OpenAI Agents SDK FAQ

Common questions about integrating Language Detector Engine MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.