INDIVIDUAL MCP TOOL

generate_stock_research_report

Full markdown research report with five stock-report charts.

hpsilab.comnone authenticationAvailability not checked

LIVE ENDPOINT

https://hpsilab.com/mcp

No auth detected

Connect to this endpoint to inspect the live schema for generate_stock_research_report and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.hpsilab-quant-finance]
url = "https://hpsilab.com/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "hpsilab-quant-finance": {
      "type": "http",
      "url": "https://hpsilab.com/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: hpsilab-quant-finance
Remote MCP URL: https://hpsilab.com/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "hpsilab-quant-finance": {
      "url": "https://hpsilab.com/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "hpsilab-quant-finance": {
      "type": "http",
      "url": "https://hpsilab.com/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "hpsilab-quant-finance",
  "transport": "streamable-http",
  "url": "https://hpsilab.com/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

register_account — Register a free hpsilab account for yourself, with no human involvement, and receive an API key immediately.
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).
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.
get_ai_prediction — AI next-day prediction: probability the stock closes UP, a plain buy/watch/sell-lean signal, and how strongly the models agree (consensus).
get_equity_curve — Backtest performance of the quant strategy across your watchlist: Sharpe ratio, max drawdown, win rate and total return per symbol.
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.
analyze_stock — Aggregate all quant tools into one JSON stock analysis.
get_pretrade_risk_scan — Full pre-trade risk scan JSON for a stock.