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Connect Correlation Matrix Engine 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 statistical coefficients without LLM math errors.

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 Correlation Matrix Engine.

  1. 01

    Calculate correlation matrix

    This capability generates exact Pearson correlation matrices for multiple datasets offline. It produces deterministic results for all numeric column pairs.

Real work

What teams actually run

01

Feature Selection

Identify which variables in a large dataset have the strongest predictive power for a target metric.

02

Error Checking

Verify if an AI client's qualitative summary of data trends matches exact mathematical reality.

03

Clinical Data Analysis

Use Spearman correlation to find monotonic trends in medical trial results.

04

Market Trend Discovery

Find hidden relationships between different economic indicators in a spreadsheet.

Automate a task

Put Correlation Matrix Engine 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

Correlation Matrix Engine 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 Correlation Matrix Engine 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

928ms average. Fast in production.

Correlation Matrix Engine is checked daily against the live service.

Daily averagePeak 1129ms
Oct 3Today
Fastest day
710ms
Slowest day
1129ms
14-day trend
Slowing+8%

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 Correlation Matrix Engine, so you can see the experience inside your AI.

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

Correlation Matrix Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_O1b8NjjanR8Sw2KCAIHEbQQ02N2GeBTrkdiOkUNP/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 — Correlation Matrix Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "correlation-matrix-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_O1b8NjjanR8Sw2KCAIHEbQQ02N2GeBTrkdiOkUNP/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 Correlation Matrix Engine in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Correlation Matrix Engine owners hand off.

This MCP is built for professionals who need to verify statistical trends without manual coding or unreliable AI math.

  • 01

    Data Scientists

    They hand off the repetitive task of matrix generation to the MCP to verify model assumptions.

  • 02

    Financial Analysts

    They use it to find exact correlations between market indicators and asset prices.

  • 03

    Research Scientists

    They rely on it to extract monotonic relationships from clinical or experimental datasets.

FAQ

Questions Correlation Matrix Engine owners ask.

  • 01

    How is this different from asking an AI to do math?

    AI models often hallucinate decimal points or fail at complex pairwise calculations. This MCP uses a local engine to provide mathematically perfect coefficients.

  • 02

    Does my data leave my local environment?

    The computation happens locally via the engine, ensuring your sensitive data stays private.

  • 03

    Which correlation types are supported?

    The MCP supports both Pearson and Spearman correlation methods.

  • 04

    What clients can I use this with?

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

  • 05

    Can it handle large datasets?

    Yes, it is designed to build complete NxN matrices across all numeric columns provided.

  • 06

    What is the difference between Pearson and Spearman?

    Pearson measures linear relationships and assumes normally distributed data. Spearman is rank-based, making it robust against outliers and ideal for non-linear monotonic relationships.

  • 07

    How many columns can I correlate at once?

    There is no hard limit. The engine builds the NxN matrix dynamically. The practical limit depends on the LLM's context window for serializing the input JSON.

  • 08

    Does it show which correlations are the strongest?

    Yes! The engine automatically extracts and ranks the top 5 strongest absolute correlations, making it easy for the AI to highlight key insights.

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