How to Use the Language Detector Engine MCP in Windsurf

Windsurf routes global support tickets instantly with local n-gram language detection.

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Connect Language Detector Engine MCP to Windsurf

Create your Vinkius account to connect Language Detector Engine to Windsurf and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Language Detector Engine with Windsurf

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Fast routing via Windsurf MCP Server

Cascade calls `detect_language` to identify the origin dialect of any text block you feed it. Instead of asking an external LLM to guess the language of a short support ticket, your agent runs exact n-gram analysis locally. The engine returns standard ISO 639-3 codes like "por" or "spa" in milliseconds. Cascade then chains this result into your routing logic, pushing the ticket to the correct regional queue without human intervention.

Handle short text ambiguity

The `detect_language` tool processes mixed-language strings and slang that confuse standard contextual models. You provide the raw text, and the engine calculates the statistical probability across 400 distinct language profiles. Longer inputs yield higher accuracy. When Cascade hits an ambiguous five-word chat message, it relies on this deterministic frequency table rather than hallucinating a language tag.

Autonomous MCP pipelines

Use the `detect_language` tool via Windsurf to let Cascade build complete localization workflows. Once the tool identifies the base language, your agent automatically triggers the appropriate translation API or formatting script. You set the end goal of sorting a dump of international feedback. Cascade reads the context, loops through the text array, tags each entry with its ISO code, and outputs a sorted JSON file.

Setup guide

Set up Language Detector Engine MCP in Windsurf

Prerequisites

Windsurf IDE installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open ~/.codeium/windsurf/mcp_config.json.
2

Add the Language Detector Engine MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Refresh MCPs

Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
4

Verify in Cascade

Start a new Cascade conversation and ask something like "Show my Language Detector Engine payment history." If connected, Cascade will call the Language Detector Engine tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "mcpServers": {
    "language-detector-engine-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Language Detector Engine MCP in Windsurf

Open your Settings and navigate to the Cascade MCP Servers UI. Add the server details under the mcpServers array and click Refresh in the MCP panel. Cascade auto-discovers the tool immediately.

LLMs frequently guess wrong on very short or mixed-language strings. This engine uses exact n-gram analysis to provide deterministic ISO 639-3 codes, saving API costs and reducing latency.

The engine covers over 400 languages using pre-compiled n-gram profiles. It handles everything from major dialects to regional variations as long as you provide enough text.

Cascade reads the ISO 639-3 code and uses it to execute subsequent steps in your pipeline. If it detects "eng", it might skip translation, but if it sees "fra", it triggers your French formatting rules.

No. When Cascade sends customer support messages or raw text snippets to the engine, the data stays in memory just long enough to calculate the n-gram frequencies. The process is entirely ephemeral and leaves no trace on disk.

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