Portfolio risk analytics — VaR, Monte Carlo, optimization, options Greeks, stress testing.
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dev.quantrisk/mcp-server is an MCP server that portfolio risk analytics — VaR, Monte Carlo, optimization, options Greeks, stress testing. Its tool list has not been published yet, requires no API key, and scores 78/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"quantrisk": {
"env": {
"QUANTRISK_API_KEY": "qr_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
},
"command": "quantrisk-mcp"
}
}
}Are you the author?
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Portfolio risk analytics as MCP tools — VaR, Monte Carlo, optimization, options Greeks, and stress testing — for AI assistants.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y 'wrangler' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
Wrangler affected by OS Command Injection in `wrangler pages deploy`
**Summary** A command injection vulnerability (CWE-78) has been found to exist in the `wrangler pages deploy` command. The issue occurs because the `--commit-hash` parameter is passed directly to a shell command without proper validation or sanitization, allowing an attacker with control of `--commit-hash` to execute arbitrary commands on the system running Wrangler. **Root cause** The `commitHash` variable, derived from user input via the `--commit-hash` CLI argument, is interpolated directl
Arbitrary remote code execution within `wrangler dev` Workers sandbox
### Impact The V8 inspector intentionally allows arbitrary code execution within the Workers sandbox for debugging. `wrangler dev` would previously start an inspector server listening on all network interfaces. This would allow an attacker on the local network to connect to the inspector and run arbitrary code. Additionally, the inspector server did not validate `Origin`/`Host` headers, granting an attacker that can trick any user on the local network into opening a malicious website the ability
Arbitrary remote file read in Wrangler dev server
### Impact Sending specially crafted HTTP requests and inspector messages to Wrangler's dev server could result in any file on the user's computer being accessible over the local network. An attacker that could trick any user on the local network into opening a malicious website could also read any file. ### Patches This issue was fixed in `wrangler@3.19.0`. Wrangler will now only serve files that are part of your bundle, or referenced by your bundle's source maps. ### Workarounds Configure Wr
Cloudflare Wrangler directory traversal vulnerability
### Impact The Wrangler command line tool (<=wrangler@3.1.0 or <=wrangler@2.20.1) was affected by a directory traversal vulnerability when running a local development server for Pages (wrangler pages dev command). This vulnerability enabled an attacker in the same network as the victim to connect to the local development server and access the victim's files present outside of the directory for the development server. ### Patches Wrangler2: Upgrade to v2.20.1 or higher. Wrangler3: Upgrade to v3
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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.
1. Install
npm install -g @quantrisk/mcp-server
2. Configure (Claude Desktop — see below for Cursor)
Add to your claude_desktop_config.json:
{
"mcpServers": {
"quantrisk": {
"command": "quantrisk-mcp-server",
"env": {
"QUANTRISK_API_KEY": "your-api-key"
}
}
}
}
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):
{
"mcpServers": {
"quantrisk": {
"command": "quantrisk-mcp-server",
"env": {
"QUANTRISK_API_KEY": "your-api-key"
}
}
}
}
Add to .cursor/mcp.json in your project root:
{
"mcpServers": {
"quantrisk": {
"command": "quantrisk-mcp-server",
"env": {
"QUANTRISK_API_KEY": "your-api-key"
}
}
}
}
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 — 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 scal