analyze_momentumFree
Momentum indicators: rsi, macd, roc, cci, stoch, stochrsi, tsi, willr. Runs all momentum indicators for the ticker, or only the subset named in `indicators` (e.g. ["rsi", "macd"]). `period` sets the history window: "1d","5d","1mo","3mo","6mo","1y","2y","5y","10y","ytd","max" (default "2y").
analyze_sector_intelligence_toolFree
Analyze sector return, risk, momentum, drawdown and correlation; select best sector.
analyze_statisticsFree
Statistical behavior: log_return, zscore, skew, kurtosis, entropy. Runs all statistical indicators for the ticker, or only the subset named in `indicators`. `period` sets the history window: "1d","5d","1mo","3mo", "6mo","1y","2y","5y","10y","ytd","max" (default "2y").
analyze_technical_levelsFree
Moving averages and price levels: sma, ema, hma, kama, ichimoku, supertrend, vwap, vwma. Runs all level indicators for the ticker, or only the subset named in `indicators`. `period` sets the history window: "1d","5d","1mo","3mo", "6mo","1y","2y","5y","10y","ytd","max" (default "2y").
analyze_trendFree
Trend strength and direction: adx, aroon, chop, psar, vortex, zigzag. Runs all trend indicators for the ticker, or only the subset named in `indicators`. `period` sets the history window: "1d","5d","1mo","3mo", "6mo","1y","2y","5y","10y","ytd","max" (default "2y").
analyze_volatilityFree
Volatility and bands: atr, bbands, donchian, kc, stdev, ui. Runs all volatility indicators for the ticker, or only the subset named in `indicators`. `period` sets the history window: "1d","5d","1mo","3mo", "6mo","1y","2y","5y","10y","ytd","max" (default "2y").
analyze_volumeFree
Volume confirmation: obv, cmf, mfi, ad, pvt. Runs all volume indicators for the ticker, or only the subset named in `indicators`. `period` sets the history window: "1d","5d","1mo","3mo", "6mo","1y","2y","5y","10y","ytd","max" (default "2y").
backtest_macd_momentumwrite actionFree
Run MACD momentum strategy backtest for one ticker. `period`: history window, e.g. "1y","2y","5y","10y" (default "2y").
backtest_macd_trend_followerwrite actionFree
Run MACD trend follower strategy backtest for one ticker. `period`: history window, e.g. "1y","2y","5y","10y" (default "2y").
backtest_mean_reversion_rsi_bbwrite actionFree
Run RSI + Bollinger Band mean-reversion strategy backtest. `period`: history window, e.g. "1y","2y","5y","10y" (default "2y").
backtest_rsi_mean_reversionwrite actionFree
Run RSI mean-reversion strategy backtest. `period`: history window, e.g. "1y","2y","5y","10y" (default "2y").
backtest_sma_crossoverwrite actionFree
Run SMA crossover strategy backtest. `period`: history window, e.g. "1y","2y","5y","10y" (default "2y").
backtest_trend_crossoverwrite actionFree
Run trend crossover strategy backtest. `period`: history window, e.g. "1y","2y","5y","10y" (default "2y").
backtest_volatility_breakoutwrite actionFree
Run volatility breakout strategy backtest. `period`: history window, e.g. "1y","2y","5y","10y" (default "2y").
build_trade_planFree
Build a sized trade plan: entry, stop, share count, R targets, invalidation. The answer to "what do I do?": given account equity and the percent of it you are willing to risk, returns an entry reference (last close), a structural stop (tighter of recent swing level or 2x ATR, never inside daily noise), the exact number of shares so a stop-out loses only the risk budget, 1R/2R/3R targets, a liquidity check (order as % of 20-day turnover), and a one-line invalidation. Educational analysis, not investment advice.
find_sector_stock_pipeline_toolwrite actionFree
Run a multi-step pipeline: sector performance -> stock ranking -> strategy selection.
generate_chart_packFree
Generate the full institutional chart suite for dashboard rendering.
generate_chartsFree
Generate charts for portfolio, strategy, quant, fundamentals, and sector pipeline.
generate_optimized_verdictFree
Optimize a portfolio and return backtest metrics plus a final verdict. Args: tickers: List of ticker symbols (e.g. ["AAPL", "RELIANCE.NS"]) amount: Investment amount used for allocation context optimize_type: Optimization mode. Supported values are: "mvo", "hrp", "max_sharpe", "min_volatility", "black_litterman", "cvar", "semivariance". period: History window for price data, e.g. "1y", "2y", "5y", "10y" (default "2y"). Longer windows give the optimizer and backtest more data at the cost of a slower fetch.
get_company_profileFree
Return a full company snapshot with business, valuation, and market metadata.
get_newsFree
Recent news headlines for a ticker via Yahoo Finance's news feed. Returns structured articles (title, publisher, url, published_at, summary) for you to read and synthesize. Not a scraper -- uses Yahoo's aggregated feed, so coverage is strongest for large-cap US and Indian names.
get_quoteFree
Current price snapshot for one or more tickers (US and Indian). Returns last price, day change %, day and 52-week ranges, position within the 52-week range, and volume vs 3-month average, with an `as_of` timestamp. US quotes are near-real-time; NSE/BSE quotes are ~15 minutes delayed (disclosed in the response). For to-the-second Indian prices during market hours, supplement with a live web search.
plot_chartsFree
Alias for chart generation; kept for natural plotting language in clients.
price_alertFree
Persistent price alerts stored server-side (survive restarts, one-shot). Actions: set -- watch a level: price_alert("set", ticker="RELIANCE.NS", level=1270, direction="below", note="stop level") list -- show all active alerts delete -- remove an alert by alert_id check -- fetch current prices for every active alert and return which fired; fired alerts deactivate so they never spam. A server cannot push messages into Claude, so pair this with a scheduled task that calls action='check' on a cadence (e.g. every 30 minutes during market hours) and notifies the user only when 'triggered' is non-empty.
scan_watchlistFree
Scan a watchlist and report which names did something actionable. For each ticker: last close, day change, gap, distance from the 20/50/200-day averages and the 52-week high, ATR%, and volume vs its 20-day average -- plus which rules fired (near_52w_high, volume_spike, crossed_above/below_200dma, at_20dma, gapped_over_1atr). Sorted most-actionable first. The Sunday-evening tool: run it over your list, then feed interesting names into build_trade_plan.

Public scan report

scanner v0.1.10 · 2026-10-24 · same rubric, same numbers if you re-run it

1 high

–Code scanremote-only server, no package to scann/a
Live reliabilityremote unreachable: HTTP 5030/20
–Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
Auth qualityno auth information5/15
Maintenancelast push 3 days ago15/15
Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10

Findings (1)

highRemote endpoint did not respondreliability.unreachable
HTTP 503

Overall 47/100. Components that don't apply are left out of the denominator. Any critical finding is an F.Rubric Appeal a finding JSON

How Quant Brain compares

Against every graded Finance MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score: 47/100; higher than 12% of 1,765 Finance servers
Tools: 25; the typical Finance server has 9
Tools that change things: 32%; typical: 0%. Fewer write tools means less an agent can break
Uptime: 0%; of our recent checks; the typical remote Finance server answers 100%
Response time: 235 ms; faster than 54% of 1,144 Finance servers
GitHub stars: 4; more than 85% of 957 Finance servers

What its tools let an agent do: 14 read · 3 create · 8 change

Install Quant Brain in Claude Code, Cursor or VS Code

claude mcp add --transport http quant-brain-mcp https://mcp-quant-brain.onrender.com/mcp

Add to Cursor

What the publisher says

From the Quant Brain repository's README, as published. We do not edit it. Read it on GitHub

🧠 Quant Brain MCP

Turn Claude into a quantitative analyst for US and Indian equities.

Ask in plain English. Get sized trade plans, portfolio optimization, backtests, and price alerts — grounded in real market data, not vibes.

You:    "Scan my watchlist and build a trade plan for whatever looks most actionable.
         ₹2,00,000 equity, 1% risk."

Claude: RELIANCE.NS flagged (at 20-DMA, volume 1.8x average).

        TRADE PLAN — RELIANCE.NS (long)
        Entry           ₹1,310.00
        Stop            ₹1,270.10   (swing low, 2.1 ATR)
        Size            50 shares   (₹65,500 — 32.8% of equity)
        Max loss        ₹1,995      (1.0% of equity)
        Targets         1R ₹1,349.90 · 2R ₹1,389.80 · 3R ₹1,429.70
        Invalidation    Thesis invalid below ₹1,270.10 — exit without debate.

No API keys. No accounts. Connect one URL and start asking.

⚡ Quickstart

Claude Desktop / Claude Web → Settings → Connectors → Add custom connector → Streamable HTTP:

https://mcp-quant-brain.onrender.com/mcp

That's the whole setup. Try: "What's RELIANCE trading at, and is it overbought?"

Free-tier note: the server sleeps when idle and takes ~50 s to wake. If the first request times out, retry once. Details in Getting Started.

🛠 What you get — 25 tools

Full reference with every parameter: docs/tools.md

🔄 The workflow it's built around

flowchart LR
    S["🔍 <b>scan_watchlist</b><br/>what moved this week?"] --> N["📰 <b>get_news</b><br/>why did it move?"]
    N --> P["📐 <b>build_trade_plan</b><br/>entry · stop · size · targets"]
    P --> A["🔔 <b>price_alert</b><br/>watch my levels"]
    A -.->|level breaks → notified| P
    subgraph deeper["go deeper anytime"]
        I["📊 indicators"] ~~~ B["🧪 backtests"] ~~~ O["💼 optimizer"]
    end
    S -.-> deeper

🔔 Price alerts that survive restarts

You:  "Alert me if RELIANCE drops below ₹1,270"        → stored server-side (Postgres)
      ...
Bot:  "PRICE ALERT FIRED — RELIANCE.NS moved below 1270.00, now at 1268.20"

Alerts are one-shot, persist across server restarts, and pair with a scheduled Claude task that checks hourly during market hours and pushes to your phone. Setup in docs/price-alerts.md.

🎯 Why this instead of a stock screener?

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Grade history

2026-10-24downgradeB → Dscore 47: Remote endpoint did not respond

Quant Brain: common questions

Is Quant Brain MCP server safe?: Not recommended: it is graded D (47/100). Read the Quant Brain safety report
How do I install Quant Brain?: It runs remotely at mcp-quant-brain.onrender.com. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Quant Brain need an API key?: Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Quant Brain maintained?: The last commit was 25 days ago (2026-10-21). The latest release is v1.0.0.
Is Quant Brain up?: 0% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of Quant Brain?: Servers from other publishers that do the same job: AlgoVault — Crypto Quant Trade Calls MCP server, Alpha Vantage MCP server and Twelve Data MCP server.
How does Quant Brain compare with other Finance MCP servers?: safety score 47/100 (higher than 12% of 1,765 Finance servers); tools 25 (the typical Finance server has 9); tools that change things 32% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to Quant Brain

Same job from other publishers: the closest match first, then the best rated.

AlgoVault — Crypto Quant Trade Calls
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not reviewed
Established
A
Alpha Vantage
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Twelve Data
Real-time and historical market data: stocks, forex, crypto, ETFs, fundamentals and 60+ indicators.
not reviewed
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HPSILab Quant Finance
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not reviewed
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J-Quants MCP
MCP server for retrieving Japanese stock market data via J-Quants API v2
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Run it through the gateway

With the gateway added, ask your agent for it by name:

agent prompt

call io.github.paarths-collab/quant-brain-mcp → analyze_momentum

Free per call. Metered, capped by your key, logged for reliability.

Add the gateway (gw.mcp.market)

Rating: —
Safety grade: D · 47/100
Stars: 4
Downloads/wk: –
Price: Free
Licence: MIT
Transport: Remote
Uptime: 0% · 0/28 checks
Version: 1.0.0
Category: Finance
Last release: 2026-10-21

Endpoint

https://mcp-quant-brain.onrender.com/mcp

streamable-http

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