QuantRisk
dev.quantrisk/mcp-serverPortfolio risk analytics — VaR, Monte Carlo, optimization, options Greeks, stress testing.
Tools · 10
Calculate core risk metrics for a portfolio — Value at Risk (VaR), Conditional VaR (CVaR), volatility, beta, and max drawdown.
Run Monte Carlo simulation on a portfolio to model the distribution of future returns, including percentile outcomes and probability of loss.
Stress test a portfolio against historical crisis scenarios (GFC 2008, COVID 2020, etc.) or custom shocks (paid tier).
Find the optimal portfolio allocation using mean-variance optimization. Supports max Sharpe, min variance, and target return objectives. Paid tier only.
Compute the pairwise correlation matrix for a set of assets. Identifies highly correlated pairs and diversification opportunities.
Break down portfolio performance into factor exposures, sector allocation, and position contributions. Computes Sharpe, Sortino, Treynor, Calmar, and Information ratios.
Break down portfolio exposure by GICS sector, market cap, and asset class. Returns concentration metrics including the Herfindahl-Hirschman Index.
Fetch historical OHLCV price data for one or more tickers. Free tier: 1 ticker, 252 days. Paid tier: up to 20 tickers, 1260 days.
Compare two or more portfolio allocations head-to-head across all key risk and return metrics. Paid tier only.
Calculate option Greeks (delta, gamma, theta, vega, rho) for individual options or an options portfolio. Uses Black-Scholes for European, binomial for American style. Paid tier only.
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How to use
Add to your Claude Desktop / Cursor / Cline MCP config:
{
"mcpServers": {
"quantrisk": {
"url": "https://quantrisk-mcp.quantrisk.workers.dev/mcp",
"transport": "streamable-http"
}
}
}