How to Use the LLM ROUGE & BLEU Evaluator MCP in Windsurf

Use the LLM ROUGE & BLEU Evaluator in Windsurf to get objective performance data on your generated text outputs instantly.

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Connect LLM ROUGE & BLEU Evaluator MCP to Windsurf

Create your Vinkius account to connect LLM ROUGE & BLEU Evaluator 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 LLM ROUGE & BLEU Evaluator with Windsurf

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Claude

Perplexity

Calculate precise text overlap scores

Windsurf can now pull raw quantitative data on your model's output quality. The `calculate_rouge_bleu` tool runs immediate n-gram comparisons against your reference documents. Stop guessing if your prompt changes improved results. You get exact numerical values showing how closely your generated text matches the target.

Automate evaluation loops with Cascade

Cascade handles the heavy lifting by chaining the `calculate_rouge_bleu` tool across your test suite. You define the goal and the agent handles the execution sequence. It runs the math, logs the scores, and identifies regressions without you needing to manually trigger the process. This keeps your evaluation pipeline moving while you focus on architecture.

Validate model output against ground truth

You can verify text accuracy by comparing candidate strings directly within your Windsurf workspace. The tool provides the metrics needed to hold your models accountable. It’s a direct way to see if your tweaks actually shift the output closer to the reference. No more subjective reviews when you have the raw math right there.

Setup guide

Set up LLM ROUGE & BLEU Evaluator 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 LLM ROUGE & BLEU Evaluator 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 LLM ROUGE & BLEU Evaluator payment history." If connected, Cascade will call the LLM ROUGE & BLEU Evaluator tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "mcpServers": {
    "llm-rouge-bleu-evaluator-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about LLM ROUGE & BLEU Evaluator MCP in Windsurf

Add the server via the MCP Servers UI in your settings. Once the server is active, Cascade will detect the `calculate_rouge_bleu` tool and be ready to run it on your text.

Yes. You can instruct Cascade to iterate over a directory of files and run the tool on each pair. It will output the scores for every document processed.

It provides a fast, deterministic way to catch regressions before they hit production. Relying on hard numbers helps you maintain a consistent standard across your codebase.

It only processes the text strings you provide for comparison. No external data is tracked or stored by the server.

The server runs locally on your machine. All data stays within your environment, ensuring your sensitive evaluation documents never leave your local system.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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