4,000+ servers built on vurb.ts
Vinkius

Language Detector Engine MCP Server for VS Code CopilotGive VS Code Copilot instant access to 1 tools to Detect Language

MCP Inspector GDPR Free for Subscribers

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

Ask AI about this MCP Server for VS Code Copilot

The Language Detector Engine MCP Server for VS Code Copilot 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

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Classic Setup·json
{
  "mcpServers": {
    "language-detector-engine": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Language Detector Engine and 4,000+ MCP Servers from a single visual interface.

Vinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop Interface
Download Free Open SourceNo signup required
Language Detector Engine
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

GitHub Copilot Agent mode brings Language Detector Engine data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 1 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

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 VS Code Copilot 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 VS Code Copilot

When VS Code Copilot 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 VS Code Copilot via MCP

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

01

Create MCP config

Create a .vscode/mcp.json file in your project root
02

Add the server config

Paste the JSON configuration above
03

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown
04

Start using Language Detector Engine

Ask Copilot: "Using Language Detector Engine, help me...". 1 tools available

Why Use VS Code Copilot with the Language Detector Engine MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Language Detector Engine through the Model Context Protocol.

01

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

02

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

03

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

04

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Language Detector Engine + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Language Detector Engine MCP Server delivers measurable value.

01

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

02

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

03

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

04

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Example Prompts for Language Detector Engine in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Language Detector Engine immediately.

01

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

02

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

03

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

Troubleshooting Language Detector Engine MCP Server with VS Code Copilot

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

01

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Language Detector Engine + VS Code Copilot FAQ

Common questions about integrating Language Detector Engine MCP Server with VS Code Copilot.

01

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.
02

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.
03

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.
04

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.

Explore More MCP Servers

View all →