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Connect LLM Rouge Bleu Evaluator to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Get exact mathematical overlap scores for your AI outputs.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through Native V8.

  1. 01

    Calculate rouge bleu

    This capability calculates approximate BLEU and ROUGE overlap scores to evaluate NLP text quality.

Real work

What teams actually run

01

RAG Optimization

Compare generated answers against a gold-standard document to see if your retrieval is working.

02

Prompt Engineering

Test two different prompts against the same reference to see which one produces more accurate text.

03

Model Benchmarking

Quantify the improvement in text quality after a fine-tuning run.

04

Summarization Testing

Check how closely an AI-generated summary matches a human-written version.

Automate a task

Put Native V8 to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Native V8 works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Native V8 to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

820ms average. Fast in production.

Native V8 is checked daily against the live service.

Daily averagePeak 1055ms
Oct 3Today
Fastest day
608ms
Slowest day
1055ms
14-day trend
Stable-4%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Native V8, so you can see the experience inside your AI.

It does not authenticate your account with Native V8. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Native V8 Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_z0q7gwUAfzM0N3ZK3eZQCz4jX1vB3r37FG9LvR3T/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Native V8 capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "llm-rouge-bleu-evaluator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_z0q7gwUAfzM0N3ZK3eZQCz4jX1vB3r37FG9LvR3T/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Native V8 in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Native V8 owners hand off.

This MCP is built for engineers who need to move past qualitative vibes and toward quantitative evaluation.

  • 01

    AI Engineers

    They use these metrics to benchmark model fine-tuning and RAG performance.

  • 02

    NLP Researchers

    They rely on standard BLEU and ROUGE indices to validate linguistic accuracy.

  • 03

    Data Scientists

    They use the scores to measure the delta between different model iterations.

FAQ

Questions Native V8 owners ask.

  • 01

    Why not just ask the LLM to grade the text?

    LLMs are probabilistic and prone to hallucinating scores. This MCP uses deterministic math to ensure the scores are accurate and repeatable.

  • 02

    What is the difference between BLEU and ROUGE?

    BLEU focuses on precision, while ROUGE focuses on recall. This MCP provides both to give a full picture of text overlap.

  • 03

    Which AI clients can use this MCP?

    You can use this with any MCP-compatible client, including Claude, Cursor, and Windsurf.

  • 04

    Do I need to host the math engine myself?

    No. Vinkius hosts the MCP and manages everything. You just connect and use the capabilities.

  • 05

    Can I use this for RAG evaluation?

    Yes. It is specifically useful for checking how well your RAG system's output matches your ground truth documents.

  • 06

    What does BLEU measure?

    BLEU (Bilingual Evaluation Understudy) measures precision: how many of the words generated by the AI actually appeared in the human reference text.

  • 07

    What does ROUGE measure?

    ROUGE measures recall: how much of the original human reference text was successfully captured and reproduced by the AI's generated summary.

  • 08

    Can it evaluate RAG prompts?

    Yes! By keeping your expected answer as the reference, you can automatically score how well your RAG pipeline retrieved and generated the facts.

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