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HPSILab Quant Finance MCP Server

by haiyunsky Your server? Claim it
answering

HPSILab Quant Finance is answering right now. Last checked 9 min ago. 493 installs a week from pypi. It exposes 10 tools. Last commit 31 Oct 2026.

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

Installs per day peak 544 · avg 101 · -27% w/w
a month agotoday
Uptime history 91 days of history · worst day 75%
91 days agonow
98.9%
Uptime 24h
90 of 91 checks
10
Tools
read from the server
946 ms
Response time
average over 24h
493
Installs / week
npm and PyPI

What changed 10

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 10 August 2026. No other catalogue keeps this.

25 Oct a tool changed version
12 Oct a tool description was rewritten register_account
3 Oct a tool description was rewritten get_ai_prediction
30 Sep a tool description was rewritten get_pretrade_risk_scan
7 Sep a tool description was rewritten analyze_stock
7 Sep a tool changed the parameters it asks for analyze_stock
7 Sep a tool changed version
10 Aug a tool description was rewritten register_account
10 Aug a tool changed the parameters it asks for register_account
10 Aug a tool changed version

HPSILab Quant Finance does not always answer

Over the last week it answered 98.8% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Three servers free · no card

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 9 min ago.

run in your terminal
claude mcp add hpsilab-quant-finance-mcp --transport http https://hpsilab.com/mcp
Settings → Connectors → Add custom connector, then paste this address
https://hpsilab.com/mcp
~/.codex/config.toml
[mcp_servers.hpsilab-quant-finance-mcp]
url = "https://hpsilab.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "hpsilab-quant-finance-mcp": {
      "url": "https://hpsilab.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "hpsilab-quant-finance-mcp": {
      "type": "http",
      "url": "https://hpsilab.com/mcp"
    }
  }
}

Available tools 10

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

generate
generate_stock_images
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. "RXRX". force: Regenerate images instead of using cached PNGs. Defaults to True so manually requested images reflect the latest available data. types: Optional subset of chart types. Allowed values are "ai_prediction", "iv_radar", "option_pressure", "monte_carlo", and "equity_curves". Omit to generate every chart type.
generate_stock_research_report
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 presentation-ready markdown report (direction, direction score, bullish / bearish factors, source-tool status, and the five chart embeds). The markdown is returned for display and the same data is mirrored in structured JSON. Signed-in hpsilab users call this within their plan's free rate limits. Anonymous / tokenless agents pay per call via x402 (USDC on Base) when payments are enabled — send the x402 payment in the request _meta. Args: symbol: Stock symbol, e.g. "RXRX". refresh: Bypass the backend's fresh IV cache for the IV-driven modules. Defaults to False. force_images: Force a fresh image render instead of reusing the backend's image cache. Defaults to False.
analyze
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. If one underlying tool is gated, unavailable or raises an error, the remaining tools still contribute to the final result (status "partial"); if every underlying tool fails, the whole call fails (status "error", isError=True) instead of a misleadingly "successful" empty analysis. Args: symbol: Stock symbol, e.g. "NVDA". refresh: Request fresh IV Radar data instead of using the backend's fresh IV cache. Defaults to False. lang: Language for `summary`, `bullish_factors` and `bearish_factors` - "en" (default), "zh" or "ja"; regional forms like "zh-CN" are accepted. Everything else in the response, `signal` included, is language-independent, so an existing caller that omits this gets byte-identical output to before.
equity
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: Optional symbol to show just one row, e.g. "SPY". Leave blank for all.
monte
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. Args: ticker: Stock symbol, e.g. "AAPL".
option
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. Args: ticker: Stock symbol, e.g. "SPY".
prediction
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). Available to every authenticated plan (Free / Pro / Enterprise); subject to the caller's plan requests/day and requests/minute limits. Args: ticker: Stock symbol, e.g. "TSLA".
pretrade
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). 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 differently; see GET /api/credits/catalog. Anonymous / tokenless agents pay per call via x402 (USDC on Base) when payments are enabled — send the x402 payment in the request _meta. Args: symbol: Stock symbol, e.g. "NVDA".
radar
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. Args: ticker: Stock symbol, e.g. "NVDA". refresh: Bypass the backend's fresh IV cache and request the latest option-chain pull. Defaults to False.
register
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 tool that works without an API key. You do not need a password, a wallet, or a web browser. The account is bound to you server-side, so calls you make after this are metered as your account even though you cannot change your own Authorization header. The account is created unverified, with only a capped evaluation allowance and no trial Credits, until the email address is confirmed; confirming it grants the one-time 100-Credit Registered Trial (14 days). Ask the human you are working with to click the link in the email that will arrive. Calling again from the same caller returns the same account with a fresh key; an address that belongs to another account is refused. A valid user email address is required. Do not call this tool with an empty or fabricated email address. If the user's email is unavailable, ask the user to provide it before calling register_account. Args: email: The real user email address that will receive verification.

Endpoints

URLTransportStateLatencyChecked
https://hpsilab.com/mcp streamable-http answering 910 ms 9 min ago

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HPSILab Quant Finance — questions

Answers built from our own checks of this server.

What can HPSILab Quant Finance do?
It exposes 10 tools, read directly from the server on our last check. Among them: analyze_stock, generate_stock_images, generate_stock_research_report, get_ai_prediction, get_equity_curve, get_iv_radar and 4 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is HPSILab Quant Finance working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 90 of 91 checks got a reply (98.9%), average response time 946 ms. The bar chart above shows every period we have measured.
How do I connect HPSILab Quant Finance?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does HPSILab Quant Finance need an API key?
No. HPSILab Quant Finance completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 10 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is HPSILab Quant Finance?
It answers our handshake in 946 ms on average, which is faster than 7% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use HPSILab Quant Finance?
The pypi package hpsilab-quant-finance-mcp was installed 493 times in the last week. Week over week that is -27%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is HPSILab Quant Finance open source?
The code is open source: it is published under the MIT licence, written in Python, 1 stars on GitHub and 1 open issue. The licence covers the code in the repository, not the hosted service at hpsilab.com, which runs on its operator's own terms.