Portfolio Volatility Calculator

Portfolio Volatility Calculator MCP Connector for Claude

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Calculate asset volatility, pairwise covariance, and portfolio risk metrics.

3 tools Official Updated Jun 28, 2026 Official Vinkius Partner

This MCP server provides specialized tools for financial risk analysis. Use get_asset_volatilities to find individual asset standard deviations, get_covariance_matrix to understand how assets move together, and analyze_portfolio_risk to determine aggregate portfolio volatility and identify the primary drivers of risk and diversification.

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

analyze_portfolio_risk

Calculates aggregate portfolio risk and identifies the primary drivers of risk and diversification

get_asset_volatilities

Calculates the standalone volatility for every individual asset provided in the dataset

get_covariance_matrix

Generates a matrix showing the covariance between every possible pair of amounts in the portfolio

See how to talk to your AI agent using Portfolio Volatility Calculator.

What is the volatility for Apple and Microsoft based on these returns: [[0.01, 0.02], [-0.01, 0.03]]?

The individual volatility for Apple is 0.0141 and for Microsoft is 0.0212.

Calculate the portfolio risk if Apple has a weight of 0.6 and Microsoft has 0.4, using this covariance: {'Apple|Apple': 0.0002, 'Microsoft|Microsoft': 0.0004, 'Apple|Microsoft': 0.0001}

The total portfolio volatility is 0.0155. The highest risk adder is Apple and the highest diversifier is Microsoft.

Show me the covariance between these two assets: [[0.01, 0.02], [0.01, 0.02]] for Asset A and Asset B.

The covariance between Asset A and Asset B is 0.0001.

Use the `get_asset_volatilities` tool by providing a matrix of historical returns and an array of corresponding asset names.

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