QuantRisk MCP Server

dev.quantrisk/mcp-server

answering

QuantRisk is answering right now. Last checked 16 min ago. It exposes 10 tools. Last commit 26 May 2026.

Portfolio risk analytics — VaR, Monte Carlo, optimization, options Greeks, stress testing.

Uptime history 42 hours of history

42 hours agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

197 ms

Response time

average over 24h

Stars

last commit 26 May 2026

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 16 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add mcp-server --transport http https://quantrisk-mcp.quantrisk.workers.dev/mcp

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "mcp-server": {
      "url": "https://quantrisk-mcp.quantrisk.workers.dev/mcp"
    }
  }
}

~/.codex/config.toml

[mcp_servers.mcp-server]
url = "https://quantrisk-mcp.quantrisk.workers.dev/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "mcp-server": {
      "url": "https://quantrisk-mcp.quantrisk.workers.dev/mcp"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "mcp-server": {
      "url": "https://quantrisk-mcp.quantrisk.workers.dev/mcp"
    }
  }
}

Available tools 10

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

analyze

analyze_risk

Calculate core risk metrics for a portfolio — Value at Risk (VaR), Conditional VaR (CVaR), volatility, beta, and max drawdown.

calculate

calculate_greeks

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.

compare

compare_portfolios

Compare two or more portfolio allocations head-to-head across all key risk and return metrics. Paid tier only.

correlation

correlation_matrix

Compute the pairwise correlation matrix for a set of assets. Identifies highly correlated pairs and diversification opportunities.

monte

monte_carlo_simulation

Run Monte Carlo simulation on a portfolio to model the distribution of future returns, including percentile outcomes and probability of loss.

optimize

optimize_portfolio

Find the optimal portfolio allocation using mean-variance optimization. Supports max Sharpe, min variance, and target return objectives. Paid tier only.

performance

performance_attribution

Break down portfolio performance into factor exposures, sector allocation, and position contributions. Computes Sharpe, Sortino, Treynor, Calmar, and Information ratios.

price

price_history

Fetch historical OHLCV price data for one or more tickers. Free tier: 1 ticker, 252 days. Paid tier: up to 20 tickers, 1260 days.

sector

sector_exposure

Break down portfolio exposure by GICS sector, market cap, and asset class. Returns concentration metrics including the Herfindahl-Hirschman Index.

stress

stress_test

Stress test a portfolio against historical crisis scenarios (GFC 2008, COVID 2020, etc.) or custom shocks (paid tier).

Endpoints

URL	Transport	State	Latency	Checked
https://quantrisk-mcp.quantrisk.workers.dev/mcp	streamable-http	answering	246 ms	16 min ago

QuantRisk — questions

Answers built from our own checks of this server.

What can QuantRisk do?

It exposes 10 tools, read directly from the server on our last check. Among them: analyze_risk, calculate_greeks, compare_portfolios, correlation_matrix, monte_carlo_simulation, optimize_portfolio and 4 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is QuantRisk working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 197 ms. The bar chart above shows every period we have measured.

How do I connect QuantRisk?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does QuantRisk need an API key?

No. QuantRisk completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 10 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is QuantRisk?

It answers our handshake in 197 ms on average, which is faster than 64% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is QuantRisk open source?

Yes — it is published under the MIT licence, written in TypeScript and 2 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.