QuantRisk
About
Portfolio risk analytics — VaR, Monte Carlo, stress testing, optimization, Greeks. Real market data, 10 tools, free tier available.
Details
- Author
- 78degrees
- Downloads
- 351
- Categories
- Finance, Other
- Tags
- #data-analysis
Jump to
- VaR, CVaR, volatility, Sharpe ratio, and max drawdown
- Forward-looking Monte Carlo simulations with configurable paths
- Portfolio stress testing under historical and hypothetical scenarios
- Sector and industry exposure breakdown across holdings
- Cross-asset correlation matrix analysis
- Mean-variance and risk-parity portfolio optimization (Pro tier)
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
QuantRiskCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install the package globally via npm, add the Quantrisk MCP server configuration with your API key to Claude Desktop (or another MCP client), then ask Claude natural language questions about portfolio risk. Configure by setting the QUANTRISK_API_KEY environment variable and specifying the quantrisk-mcp-server command.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"quantrisk": {
"quantrisk": {
"command": "quantrisk-mcp-server",
"env": {
"QUANTRISK_API_KEY": "your-api-key"
}
}
}
}
}
McpServers
{
"quantrisk": {
"command": "quantrisk-mcp-server",
"env": {
"QUANTRISK_API_KEY": "your-api-key"
}
}
}
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.
2. Configure(Claude Desktop — seebelowfor Cursor)
Add to yourclaude_desktop_config.json:
{ "mcpServers": { "quantrisk": { "command": "quantrisk-mcp-server", "env": { "QUANTRISK_API_KEY": "your-api-key" } } } }
Get your free API key atquantrisk.dev/signup.
"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.jsonin your project root:
{ "mcpServers": { "quantrisk": { "command": "quantrisk-mcp-server", "env": { "QUANTRISK_API_KEY": "your-api-key" } } } }
QuantRisk works with any client that supports theModel Context Protocol. Point it at thequantrisk-mcp-serverbinary with your API key in the environment.
Once configured, ask Claude questions like these:
- "Run a Monte Carlo simulation on my portfolio: 50% AAPL, 30% MSFT, 20% NVDA. Show me the 5th percentile outcome."
- "Stress test 70% VTI / 30% BND against the 2008 financial crisis and a hypothetical 300bp rate shock."
- "What's my sector exposure if I hold equal weights in AMZN, JPM, JNJ, XOM, and NEE?"
- "Show me the correlation matrix for SPY, GLD, TLT, and BTC-USD over the last 2 years."
- "Compare the risk-adjusted returns of a 60/40 portfolio vs. an all-weather portfolio."(Pro)
- "Calculate the Greeks for a SPY 550 call expiring in 30 days."(Pro)
The free tier covers core risk analytics for small portfolios. Pro unlocks the tools and scale that serious analysis demands.
- Free: "What's the VaR on my 10-stock portfolio?" — works great.
- Pro: "Optimize my 200-position portfolio for maximum Sharpe, then stress test it against 5 scenarios and compare it to my current allocation." — you need Pro for that.
Claude / MCP Client | MCP Protocol | QuantRisk MCP Server (local process) | QuantRisk API (Cloudflare Workers) | Yahoo Finance (market data) + risk engine (math)
- MCP Serverruns locally as a stdio process — your API key never leaves your machine except to authenticate with the QuantRisk API.
- Risk Engineruns on Cloudflare Workers. All calculations — VaR, Monte Carlo, optimization — happen server-side with real math on real market data.
- Market Datasourced from Yahoo Finance. Prices, fundamentals, and options chains are fetched in real time.
- Reportsgenerated with pdf-lib when applicable.
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.
git clone https://github.com/78degrees/mcp-server.git cd mcp-server npm install npm test
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