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Connect Sensitivity Analysis Matrix 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. Map out profit and loss zones for price and yield fluctuations.

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 · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Sensitivity Analysis Matrix.

  1. 01

    Calculate expected return

    This capability calculates a single expected return value. It works by weighting your matrix results against specific probability distributions.

  2. 02

    Get profit loss zones

    This capability identifies specific outcome areas. It categorizes the profit and loss regions within a matrix you've already generated.

  3. 03

    Get sensitivity matrix

    This capability builds a grid of net returns. It maps out how different price and yield combinations impact your totals.

  4. 04

    Validate cost structure

    This capability checks your math. It ensures the cost structure you provided is complete and ready for analysis.

Real work

What teams actually run

01

Break-even Analysis

Determine the exact price and yield levels needed to cover your fixed and variable costs.

02

Portfolio Stress Testing

Run a matrix to see how a sudden drop in price or a shift in yield affects your net returns.

03

Yield Optimization

Analyze different yield combinations to find the most favorable return profiles.

04

Risk Exposure Mapping

Identify the specific zones where market volatility could lead to losses.

One connector, every AI

Sensitivity Analysis Matrix 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.

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

You don't need a client to put Sensitivity Analysis Matrix 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

910ms average. Fast in production.

Sensitivity Analysis Matrix is checked daily against the live service.

Daily averagePeak 1078ms
Oct 3Today
Fastest day
704ms
Slowest day
1078ms
14-day trend
Slowing+7%

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

Guided setup for Claude? Set up Sensitivity Analysis Matrix in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Sensitivity Analysis Matrix owners hand off.

This MCP is built for professionals who need to model financial risk without building custom software. You hand off your raw price, yield, and cost data to your agent to get instant analysis.

  • 01

    Financial Analysts

    They hand off cost structures and market variables to run quick break-even simulations.

  • 02

    Risk Managers

    They use the capability to identify loss zones and map out potential downside scenarios.

  • 03

    Commodity Traders

    They model how yield and price fluctuations impact their specific asset returns.

FAQ

Questions Sensitivity Analysis Matrix owners ask.

  • 01

    What AI clients can I use with this MCP?

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

  • 02

    Do I need to host the MCP myself?

    No. Vinkius hosts and manages the MCP for you. You just connect your client and start using the capabilities.

  • 03

    How does the expected return calculation work?

    The MCP takes the results from your sensitivity matrix and weights them using probability distributions to find a single expected value.

  • 04

    Can I use this for simple break-even analysis?

    Yes. By generating a sensitivity matrix and then identifying the profit and loss zones, you can find your break-even points.

  • 05

    What happens if my cost data is incomplete?

    The validate_cost_structure capability will check your data first to ensure it is mathematically sound before you run your analysis.

  • 06

    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.

  • 07

    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.

  • 08

    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.

Connect Sensitivity Analysis Matrix to Claude, Cursor, ChatGPT & more