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Connect Correlation Matrix Calculator 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 precise statistical analysis for financial asset relationships.

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 · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Correlation Matrix Calculator.

  1. 01

    Get asset sensitivity

    This capability isolates risk-adjusted relationships between an asset and a benchmark. It calculates specific metrics like beta and volatility ratios.

  2. 02

    Analyze correlation dynamics

    This capability tracks how asset relationships change over time. It provides rolling correlations and stability scores to show if relationships are consistent.

  3. 03

    Calculate correlation matrix

    This capability generates NxN correlation and covariance matrices for a set of assets. It is the primary way to identify high or negative correlations across a group.

Real work

What teams actually run

01

Portfolio Diversification

Use the correlation matrix to find assets with low or negative correlations to reduce risk.

02

Beta Analysis

Calculate how a specific asset moves in relation to a benchmark to understand its market sensitivity.

03

Regime Change Detection

Monitor correlation dynamics to see if asset relationships are breaking down or strengthening.

04

Risk Modeling

Generate covariance matrices to feed into larger risk-adjusted return models.

One connector, every AI

Correlation Matrix Calculator 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 Calculator 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

908ms average. Fast in production.

Correlation Matrix Calculator is checked daily against the live service.

Daily averagePeak 1118ms
Oct 3Today
Fastest day
724ms
Slowest day
1118ms
14-day trend
Improving-16%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive 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 Calculator, so you can see the experience inside your AI.

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

Correlation Matrix Calculator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_NAk2D8BYoIO25xjUkMSrSwHwX82pYoIrGHBwtpaw/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 Calculator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "correlation-matrix-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_NAk2D8BYoIO25xjUkMSrSwHwX82pYoIrGHBwtpaw/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 Calculator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Correlation Matrix Calculator owners hand off.

Quantitative professionals and portfolio managers use this MCP to automate statistical heavy lifting.

  • 01

    Quantitative Analysts

    They hand off time-series data to the AI to generate correlation matrices and beta values.

  • 02

    Portfolio Managers

    They use the capability to check for asset dependencies and manage diversification risk.

  • 03

    Risk Managers

    They rely on the MCP to calculate volatility ratios and stability scores for various asset pairs.

FAQ

Questions Correlation Matrix Calculator owners ask.

  • 01

    What kind of data does this MCP process?

    It processes financial time-series data to calculate correlations, covariances, and risk metrics.

  • 02

    Can I calculate beta with this capability?

    Yes, you can use the get_asset_sensitivity capability to isolate beta and volatility ratios against a benchmark.

  • 03

    How do I see if asset correlations are changing?

    You use the analyze_correlation_dynamics capability to observe rolling correlations and stability scores over time.

  • 04

    Which AI clients can use this MCP?

    Any MCP-compatible client like Claude, Cursor, or Windsurf can use this capability once connected via Vinkius.

  • 05

    Does this capability provide stability scores?

    Yes, the analyze_correlation_dynamics capability provides stability scores to show how consistent an asset relationship is.

  • 06

    How do I calculate the relationship between multiple assets?

    You can use the calculate_correlation_matrix capability by providing the price series for each asset and the desired return period.

  • 07

    Can I check how correlation changes over time?

    Yes, use analyze_correlation_dynamics with a specified rolling window to see how asset relationships evolve and to get stability scores.

  • 08

    How is the beta coefficient calculated?

    The beta coefficient is calculated via get_asset_sensitivity or calculate_correlation_matrix by dividing the covariance of asset returns and benchmark returns by the variance of the benchmark returns.

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