Language Detector Engine MCP Server for LangChainGive LangChain 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

LangChain is the leading Python framework for composable LLM applications. Connect Language Detector Engine through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

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The Language Detector Engine MCP Server for LangChain 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

Vinkius delivers Streamable HTTP and SSE to any MCP client

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VS Code

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+ other MCP clients

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "language-detector-engine": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Language Detector Engine, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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.

LangChain's ecosystem of 500+ components combines seamlessly with Language Detector Engine through native MCP adapters. Connect 1 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 1 tools from Language Detector Engine via MCP

Why Use LangChain with the Language Detector Engine MCP Server

LangChain provides unique advantages when paired with Language Detector Engine through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Language Detector Engine MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Language Detector Engine queries for multi-turn workflows

Language Detector Engine + LangChain Use Cases

Practical scenarios where LangChain combined with the Language Detector Engine MCP Server delivers measurable value.

RAG with live data: combine Language Detector Engine tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Language Detector Engine, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Language Detector Engine tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Language Detector Engine tool call, measure latency, and optimize your agent's performance

Example Prompts for Language Detector Engine in LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Language Detector Engine + LangChain FAQ

Common questions about integrating Language Detector Engine MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.