Language Detector Engine MCP Server for Pydantic AIGive Pydantic AI 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

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Language Detector Engine through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The Language Detector Engine MCP Server for Pydantic AI 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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python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

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

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Language Detector Engine "
            "(1 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Language Detector Engine?"
    )
    print(result.data)

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.

Pydantic AI validates every Language Detector Engine tool response against typed schemas, catching data inconsistencies at build time. Connect 1 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI

When Pydantic AI 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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 1 tools from Language Detector Engine with type-safe schemas

Why Use Pydantic AI with the Language Detector Engine MCP Server

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

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Language Detector Engine integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Language Detector Engine connection logic from agent behavior for testable, maintainable code

Language Detector Engine + Pydantic AI Use Cases

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

Type-safe data pipelines: query Language Detector Engine with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Language Detector Engine tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Language Detector Engine and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Language Detector Engine responses and write comprehensive agent tests

Example Prompts for Language Detector Engine in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Language Detector Engine + Pydantic AI FAQ

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

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Language Detector Engine MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.