Portfolio risk analytics β VaR, Monte Carlo, optimization, options Greeks, stress testing.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
One-click editor setup isnβt available for this listing yet β we donβt have a confirmed install command, and weβd rather show nothing than point your editor at the wrong package or host. Follow the projectβs own setup instructions, linked above.
Inspect callable tools, capabilities, and parameters exposed to AI agents by QuantRisk.
analyze_riskVaR, CVaR, volatility, Sharpe ratio, max drawdown
monte_carlo_simulationForward-looking return simulations with configurable paths
stress_testPortfolio impact under historical and hypothetical scenarios
price_historyHistorical price and return data for any supported ticker
sector_exposureSector and industry breakdown across holdings
performance_attributionReturn attribution by asset, sector, and factor
Institutional-grade portfolio risk analytics for Claude and any MCP client.
VaR / Monte Carlo / Stress Testing / Portfolio Optimization / Greeks / Correlation Matrices
Real market data. Real math. Not hallucinated numbers.
Website Β· Get Pro Β· Documentation
1. Install
2. Configure (Claude Desktop β see below for Cursor)
Add to your claude_desktop_config.json:
Get your free API key at quantrisk.dev/signup.
3. Ask Claude
"What's the Value at Risk on a portfolio of 60% SPY, 25% TLT, and 15% GLD?"
That's it. Claude now has access to institutional-grade risk analytics.
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
Add to .cursor/mcp.json in your project root:
QuantRisk works with any client that supports the Model Context Protocol. Point it at the quantrisk-mcp-server binary with your API key in the environment.
| Tool | Description | Tier |
|---|---|---|
analyze_risk | VaR, CVaR, volatility, Sharpe ratio, max drawdown | Free |
monte_carlo_simulation | Forward-looking return simulations with configurable paths | Free |
stress_test | Portfolio impact under historical and hypothetical scenarios | Free |
price_history | Historical price and return data for any supported ticker | Free |
sector_exposure | Sector and industry breakdown across holdings | Free |
performance_attribution | Return attribution by asset, sector, and factor | Free |
correlation_matrix | Cross-asset correlation analysis | Free |
optimize_portfolio | Mean-variance and risk-parity optimization | Pro |
compare_portfolios | Side-by-side risk/return comparison of multiple portfolios | Pro |
calculate_greeks | Options Greeks β delta, gamma, theta, vega, rho | Pro |
Once configured, ask Claude questions like these:
The free tier covers core risk analytics for small portfolios. Pro unlocks the tools and scale that serious analysis demands.
| Free | Pro ($29/mo) | |
|---|---|---|
| Positions | 20 | 500 |
| API calls | 50/day | Unlimited |
| Tools | 7 | All 10 |
| Monte Carlo paths | 1,000 | 100,000 |
| Portfolio optimization | β | Mean-variance, risk-parity, min-volatility |
| Portfolio comparison | β | Side-by-side multi-portfolio analysis |
| Options Greeks | β | Full Greeks surface |
What that means in practice:
No data is stored. No portfolio information is retained after a request completes.
Contributions are welcome. Please open an issue first to discuss what you'd like to change.
See CONTRIBUTING.md for guidelines.
Built by the team at quantrisk.dev
Contact: hello@quantrisk.dev
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