MCP For Claude Marketplace
Risk Parity Strategy Engine

Risk Parity Strategy Engine MCP Connector for Claude

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Deterministic risk parity portfolio allocation engine for equal risk contribution.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides a deterministic risk parity portfolio allocation engine. It ensures every asset contributes an identical amount of risk to the total portfolio volatility. Use calculate_risk_parity_weights to determine optimal capital allocation, check_rebalance_trigger to monitor weight drift, and get_portfolio_performance to analyze historical risk and reward characteristics. The engine handles target volatility scaling via leverage and enforces concentration caps to maintain diversification.

risk-parityportfolio-optimizationquantitative-financeasset-allocationvolatility-targeting

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

calculate_risk_parity_weights

Determine optimal capital allocation for equal risk contribution

check_rebalance_trigger

Determine if the portfolio needs to be rebalanced

get_portfolio_performance

Analyze historical risk and reward characteristics

See how to talk to your AI agent using Risk Parity Strategy Engine.

Calculate the optimal risk parity weights for these asset returns and this covariance matrix with a target volatility of 0.10.

The target weights are [0.40, 0.35, 0.25]. The current weights are [0.33, 0.33, 0.33]. Rebalance trades: Buy Asset 1 (0.07), Buy Asset 2 (0.02), Sell Asset 3 (0.08). Portfolio metrics: Annualized Volatility: 10.0%, Sharpe Ratio: 1.2, Max Drawdown: 5.4%.

Check if I need to rebalance my portfolio if my current weights are [0.5, 0.5] and target weights are [0.4, 0.6] with a 5% threshold.

Yes, rebalancing is required. The maximum drift magnitude is 0.10, which exceeds the 0.05 threshold.

What was the Sharpe ratio and max drawdown for this equity curve: [100, 102, 101, 105, 104]?

The annualized return is 8.2%, annualized volatility is 4.1%, Sharpe ratio is 2.0, and the max drawdown is 1.9%.

The engine solves for weights such that the product of each asset's weight and its marginal risk contribution is equal across all assets. It uses inverse volatility as an initial guess for the optimization process.

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