Sensitivity Analysis Matrix

Sensitivity Analysis Matrix MCP Connector for Claude

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Generates sensitivity matrices for price and yield combinations to identify profit/loss zones.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides advanced financial modeling tools to analyze how fluctuations in price and yield impact net returns. By using get_sensitivity_matrix, users can generate a detailed grid of potential outcomes. The server also includes get_profit_loss_zones to visually isolate profitable and loss-making regions, and calculate_expected_return to determine probability-weighted outcomes based on specific distributions. It is designed for risk assessment and break-even analysis.

financeriskmatrixyieldprofit-loss

4 tools expose this connector's capabilities to your AI agent.

calculate_expected_return

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

get_profit_loss_zones

Identifies and categorizes the zones within a previously generated matrix

get_sensitivity_matrix

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

validate_cost_structure

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

See how to talk to your AI agent using Sensitivity Analysis Matrix.

Generate a sensitivity matrix for an asset with a base price of 100, base yield of 0.05, a price range of 10%, and a yield range of 5%, with a cost structure of {'fixed': 10}.

The sensitivity matrix has been generated with the specified price and yield boundaries, showing the net return for each coordinate.

What are the profit and loss zones for my sensitivity matrix?

The analysis identifies a profit zone between prices X and Y, and a loss zone where prices fall below Z.

Validate if my cost structure is correct.

The cost structure is valid with a total cost of 15.0.

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

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