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HPSILab Quant Finance

io.github.haiyunsky/hpsilab-quant-finance-mcp · v0.11.1

Stock & options risk analytics for AI agents: pre-trade risk scan, IV, gamma walls, Monte Carlo.

Connect Remote server

Terminal
claude mcp add --transport http hpsilab-quant-finance-mcp https://hpsilab.com/mcp --header "Authorization: Bearer <YOUR_API_KEY>"
~/.cursor/mcp.json
{
  "mcpServers": {
    "hpsilab-quant-finance-mcp": {
      "url": "https://hpsilab.com/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_API_KEY>"
      }
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "hpsilab-quant-finance-mcp": {
      "type": "http",
      "url": "https://hpsilab.com/mcp",
      "headers": {
        "Authorization": "Bearer <YOUR_API_KEY>"
      }
    }
  }
}
Claude Desktop
Settings > Connectors > Add custom connector
URL: https://hpsilab.com/mcp

Replace the values in angle brackets with your own. Keys stay on your machine; we never see them.

Tools 10 found in our last check

  • register_account

    Register a free hpsilab account for yourself, with no human involvement, and receive an API key immediately. Call this when the user has no API key yet and asks to sign up from here, or when a refusal's `next_actions` names register_account and the user agrees. This is the only…

  • get_iv_radar

    Implied-volatility (IV) structure for a stock: how expensive options are, whether volatility is being squeezed, and whether traders are paying up for upside (calls) or downside (puts). Available to all signed-in users. Returns spot price, the expiry used, the option quote time (…

  • get_monte_carlo

    Monte Carlo price simulation for the next ~10 trading days: thousands of random price paths estimate a likely price range and the odds of finishing higher. Returns the price-history date and starting close, mean and median projected close, the 90% range, daily volatility, suppor…

  • get_ai_prediction

    AI next-day prediction: probability the stock closes UP, a paper-trading buy/watch/sell lean (research only, not a trade instruction), and how strongly the models agree (consensus). Returns the model input date and close next to the latest fetched daily bar, the blended UP proba…

  • get_equity_curve

    Backtest performance of the quant strategy across your watchlist: Sharpe ratio, max drawdown, win rate and total return per symbol. Available to every authenticated plan (Free / Pro / Enterprise); subject to the caller's plan requests/day and requests/minute limits. Args: ticker…

  • get_option_pressure

    Option-chain pressure map for the nearest weekly/monthly expiry — Max Pain, dealer Gamma Wall, likely weekly high, and an extreme squeeze target. Returns spot, the expiry and days to it, the option quote time (latest trade in the chain, UTC), max pain, gamma/call/put walls, like…

  • analyze_stock

    Aggregate all quant tools into one JSON stock analysis. The tool reuses the existing MCP tools as its data sources, then derives a direction signal, direction score, bullish factors, bearish factors and plain-English summary. `tool_responses` carries each source's full text (AI…

  • get_pretrade_risk_scan

    Full pre-trade risk scan JSON for a stock. Pro tool ($0.15/call via x402 for anonymous callers; Credits for signed-in accounts). `riskDeltas` compares the SPY benchmark (`beforeValue`) with this stock on its own (`afterValue`). Neither side is a portfolio, so it is not a before/…

  • generate_stock_images

    Generate stock-report PNG images and return their URLs, with the charts attached as PNG image content so the assistant can see them. The JSON (symbol, status, images with url/status, disclaimer) is the same with or without attachments; the image blocks are added after it. Args:…

  • generate_stock_research_report

    Full markdown research report with its most relevant stock-report charts attached as images. Pro tool ($0.35/call via x402 for anonymous callers; free within plan limits for signed-in accounts, subject to a monthly report quota). Runs analyze_stock and stock-report image generat…

Headers

NameDescription
Authorization
Optional, secret
Optional. Clients that support MCP OAuth can omit it and sign in to HPSILab instead; otherwise send a Bearer API key from HPSILab Settings. Research tools need one of the two.

Details

Endpointhttps://hpsilab.com/mcp (Streamable HTTP)
Package[email protected] (PYPI, stdio)
First published24 Oct 2026
Last updated24 Oct 2026
Registry nameio.github.haiyunsky/hpsilab-quant-finance-mcp

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