MCP server

HPSILab Quant Finance

io.github.haiyunsky/hpsilab-quant-finance-mcp

Checked 28 Oct 2026, 09:03 UTC · Connected to it and listed its tools

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

Working at last checkAbout 2,571 tokens per request once connected10 tools

Website Source

https://hpsilab.com/mcp

At a glance

Type: MCP server
Publisher: Not verified
Status: Working at last check
Tools: 10
Token cost: About 2,571 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 28 Oct 2026, 09:03 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http hpsilab-quant-finance-mcp https://hpsilab.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

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

Gemini CLI

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

Cursor

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

VS Code

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

Antigravity

agy mcp add hpsilab-quant-finance-mcp https://hpsilab.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"hpsilab-quant-finance-mcp","server_url":"https://hpsilab.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"hpsilab-quant-finance-mcp","server_url":"https://hpsilab.com/mcp"}

Tools

analyze_stock ~404 tokens
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. If one underlying tool is gated, unavailable or raises an
generate_stock_images ~331 tokens
Generate stock-report PNG images and return their URLs. This is intentionally separate from analyze_stock so the JSON analysis stays fast and light. The backend reuses the same Growth Engine image generators used by email/social publishing. Args: symbol: Stock symbol, e.g.
generate_stock_research_report ~408 tokens
Full markdown research report with five stock-report charts. 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 generation concurrently, then renders a pre
get_ai_prediction ~172 tokens
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). Available to every authenticated plan (Free / Pro / Enterprise); subject to the caller's plan request
get_equity_curve ~165 tokens
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: t
get_iv_radar ~192 tokens
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. Args: ticker: Stock symbol, e.g. "NVDA". refresh: By
get_monte_carlo ~121 tokens
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. Args: ticker: Stock symbol, e.g. "AAPL".
get_option_pressure ~119 tokens
Option-chain pressure map for the nearest weekly/monthly expiry — Max Pain, dealer Gamma Wall, likely weekly high, and an extreme squeeze target. Args: ticker: Stock symbol, e.g. "SPY".
get_pretrade_risk_scan ~217 tokens
Full pre-trade risk scan JSON for a stock. Pro tool ($0.15/call via x402 for anonymous callers; Credits for signed-in accounts). Signed-in hpsilab users (including Free, on its trial Credits) spend Credits from their balance at this tool's catalog price — each tool is priced differe
register_account ~442 tokens
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 tool

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