Download PDFMarkdown Version
ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Sensitivity Analysis Matrix with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Generates sensitivity matrices for price and yield combinations to identify profit/loss zones.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

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

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 4 capabilities

The complete Sensitivity Analysis Matrix capability set.

These are the exact actions your AI can choose when you ask it to work with Sensitivity Analysis Matrix.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Sensitivity Analysis Matrix.

  1. 01

    Calculate expected return

    Computes the single expected return value by weighting the matrix results with probability distributions

  2. 02

    Get profit loss zones

    Identifies and categorizes the zones within a previously generated matrix

  3. 03

    Get sensitivity matrix

    Generates a grid of net returns based on price and yield variations

  4. 04

    Validate cost structure

    Ensures the provided cost structure is mathematically sound and complete for analysis

Observed, not estimated

894ms average. Fast in production.

Sensitivity Analysis Matrix is checked daily against the live service.

Daily averagePeak 1067ms
Aug 26Today
Fastest day
745ms
Slowest day
1067ms
14-day trend
Improving-27%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 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 Sensitivity Analysis Matrix, so you can see the experience inside your AI.

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

Sensitivity Analysis Matrix Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_z6bkBx2NspC3tjdLPj9bSdmQqFxPmuDkO1grYWVr/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 — Sensitivity Analysis Matrix capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "sensitivity-analysis-matrix-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_z6bkBx2NspC3tjdLPj9bSdmQqFxPmuDkO1grYWVr/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

FAQ

Questions Sensitivity Analysis Matrix owners ask.

  • 01

    How do I generate a return grid?

    You can use the get_sensitivity_matrix capability by providing the base price, base yield, and the percentage ranges for both price and yield.

  • 02

    Can I identify break-even points?

    Yes, after generating a matrix, use get_profit_loss_zones to identify specific break-even points and the boundaries of profit and loss zones.

  • 03

    How is the expected return calculated?

    The calculate_expected_return capability computes the expected return by weighting each cell in the sensitivity matrix with its corresponding joint probability from the provided distributions.

Explore

More in Finance

Suggestions