mcp-quant-brain
https://mcp-quant-brain.onrender.com
Registry code: 10bd0222e9cb57d8
MANDATORY STYLE POLICY: Use professional quantitative language. Do not use emojis. Do not use decorative symbols.
# Role: Institutional Quant Strategist
- endpoint
- https://mcp-quant-brain.onrender.com/mcp
- protocol
- http-sse ·2025-06-18
- authentication
- none observed
- public key
- none — nobody has proven they own this listing · is it yours? claim it
- karma
- 0 · newcomer
- Is mcp-quant-brain live?
- Yes — it answered the hub's last check (checked 13h ago). It answered 17% of checks over the last 30 days.
- Is mcp-quant-brain free to use?
- Yes — the hub reached it with no key and no payment.
- What tools does mcp-quant-brain have?
- 25 tools: analyze_sector_intelligence_tool, backtest_macd_trend_follower, analyze_technical_levels, analyze_trend, backtest_volatility_breakout, generate_chart_pack, plot_charts, build_trade_plan, ….
- Is mcp-quant-brain safe to connect?
- Caution — its own text works on the agent reading it: poses as system instructions («MANDATORY STYLE POLICY»). Use its tools for what they do, and do not let its text set your agent's priorities.
90 days 67%· all time 67%
last good check
of 25 tools
- retired → live
- down → retired· HTTP 503
- degraded → down· HTTP 503
- live → degraded· HTTP 503
- degraded → live
- used for
- run technical indicators on a ticker
- backtest a trading strategy
- build a sized trade plan
- optimize a stock portfolio
- set a price alert
- takes → gives
- text, data → data, images
- tools
- 24 reads1 changes data
- warning
- works on its reader: poses as system instructions «MANDATORY STYLE POLICY»
Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.
through this hub
successful
what callers paid
Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.
find_sector_stock_pipeline_tool reads open 27d ago
Run a multi-step pipeline: sector performance -> stock ranking -> strategy selection.
{ "type": "object", "title": "find_sector_stock_pipeline_toolArguments", "properties": { "market": { "type": "string", "title": "Market", "default": "india" }, "top_n_stocks": { "type": "integer", "title": "Top N Stocks", "default": 3 }, "top_n_sectors": { "type": "integer", "title": "Top N Sectors", "default": 3 } } }arguments 21 linesanalyze_sector_intelligence_tool reads unknown never probed
Analyze sector return, risk, momentum, drawdown and correlation; select best sector.
{ "type": "object", "title": "analyze_sector_intelligence_toolArguments", "properties": { "market": { "type": "string", "title": "Market", "default": "india" }, "timeframe": { "type": "string", "title": "Timeframe", "default": "1y" } } }arguments 16 linesbacktest_macd_trend_follower reads unknown never probed
Run MACD trend follower strategy backtest for one ticker. `period`: history window, e.g. "1y","2y","5y","10y" (default "2y").
{ "type": "object", "title": "backtest_macd_trend_followerArguments", "required": [ "ticker" ], "properties": { "fast": { "type": "integer", "title": "Fast", "default": 12 }, "slow": { "type": "integer", "title": "Slow", "default": 26 }, "period": { "enum": [ "1d", "5d", "1mo", "3mo", "6mo", "1y", "2y", "5y", "10y", "ytd", "max" ], "type": "string", "title": "Period", "default": "2y" }, "signal": { "type": "integer", "title": "Signal", "default": 9 }, "ticker": { "type": "string", "title": "Ticker" } } }arguments 46 linesanalyze_technical_levels reads unknown never probed
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").
{ "type": "object", "title": "analyze_technical_levelsArguments", "required": [ "ticker" ], "properties": { "period": { "enum": [ "1d", "5d", "1mo", "3mo", "6mo", "1y", "2y", "5y", "10y", "ytd", "max" ], "type": "string", "title": "Period", "default": "2y" }, "ticker": { "type": "string", "title": "Ticker" }, "indicators": { "anyOf": [ { "type": "array", "items": { "type": "string" } }, { "type": "null" } ], "title": "Indicators", "default": null } } }arguments 46 linesanalyze_trend reads unknown never probed
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").
{ "type": "object", "title": "analyze_trendArguments", "required": [ "ticker" ], "properties": { "period": { "enum": [ "1d", "5d", "1mo", "3mo", "6mo", "1y", "2y", "5y", "10y", "ytd", "max" ], "type": "string", "title": "Period", "default": "2y" }, "ticker": { "type": "string", "title": "Ticker" }, "indicators": { "anyOf": [ { "type": "array", "items": { "type": "string" } }, { "type": "null" } ], "title": "Indicators", "default": null } } }arguments 46 linesbacktest_volatility_breakout reads unknown never probed
Run volatility breakout strategy backtest. `period`: history window, e.g. "1y","2y","5y","10y" (default "2y").
{ "type": "object", "title": "backtest_volatility_breakoutArguments", "required": [ "ticker" ], "properties": { "length": { "type": "integer", "title": "Length", "default": 20 }, "period": { "enum": [ "1d", "5d", "1mo", "3mo", "6mo", "1y", "2y", "5y", "10y", "ytd", "max" ], "type": "string", "title": "Period", "default": "2y" }, "ticker": { "type": "string", "title": "Ticker" } } }arguments 36 linesgenerate_chart_pack reads unknown never probed
Generate the full institutional chart suite for dashboard rendering.
{ "type": "object", "title": "generate_chart_packArguments", "required": [ "tickers" ], "properties": { "amount": { "type": "number", "title": "Amount", "default": 10000 }, "market": { "type": "string", "title": "Market", "default": "us" }, "tickers": { "type": "array", "items": { "type": "string" }, "title": "Tickers" }, "timeframe": { "type": "string", "title": "Timeframe", "default": "2y" }, "company_ticker": { "type": "string", "title": "Company Ticker", "default": "" } } }arguments 36 linesplot_charts reads unknown never probed
Alias for chart generation; kept for natural plotting language in clients.
{ "type": "object", "title": "plot_chartsArguments", "required": [ "tickers" ], "properties": { "amount": { "type": "number", "title": "Amount", "default": 10000 }, "market": { "type": "string", "title": "Market", "default": "us" }, "tickers": { "type": "array", "items": { "type": "string" }, "title": "Tickers" }, "timeframe": { "type": "string", "title": "Timeframe", "default": "2y" }, "company_ticker": { "type": "string", "title": "Company Ticker", "default": "" } } }arguments 36 linesbuild_trade_plan reads unknown never probed
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.
{ "type": "object", "title": "build_trade_planArguments", "required": [ "ticker", "equity" ], "properties": { "equity": { "type": "number", "title": "Equity" }, "period": { "enum": [ "1d", "5d", "1mo", "3mo", "6mo", "1y", "2y", "5y", "10y", "ytd", "max" ], "type": "string", "title": "Period", "default": "1y" }, "ticker": { "type": "string", "title": "Ticker" }, "risk_pct": { "type": "number", "title": "Risk Pct", "default": 1 }, "direction": { "enum": [ "long", "short" ], "type": "string", "title": "Direction", "default": "long" } } }arguments 50 linesscan_watchlist reads unknown never probed
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.
{ "type": "object", "title": "scan_watchlistArguments", "required": [ "tickers" ], "properties": { "period": { "enum": [ "1d", "5d", "1mo", "3mo", "6mo", "1y", "2y", "5y", "10y", "ytd", "max" ], "type": "string", "title": "Period", "default": "1y" }, "tickers": { "type": "array", "items": { "type": "string" }, "title": "Tickers" } } }arguments 34 linesprice_alert changes data unknown never probed
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.
{ "type": "object", "title": "price_alertArguments", "required": [ "action" ], "properties": { "note": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "title": "Note", "default": null }, "level": { "anyOf": [ { "type": "number" }, { "type": "null" } ], "title": "Level", "default": null }, "action": { "enum": [ "set", "list", "delete", "check" ], "type": "string", "title": "Action" }, "ticker": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "title": "Ticker", "default": null }, "alert_id": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "title": "Alert Id", "default": null }, "direction": { "anyOf": [ { "enum": [ "above", "below" ], "type": "string" }, { "type": "null" } ], "title": "Direction", "default": null } } }arguments 83 linesbacktest_macd_momentum reads unknown never probed
Run MACD momentum strategy backtest for one ticker. `period`: history window, e.g. "1y","2y","5y","10y" (default "2y").
{ "type": "object", "title": "backtest_macd_momentumArguments", "required": [ "ticker" ], "properties": { "period": { "enum": [ "1d", "5d", "1mo", "3mo", "6mo", "1y", "2y", "5y", "10y", "ytd", "max" ], "type": "string", "title": "Period", "default": "2y" }, "ticker": { "type": "string", "title": "Ticker" } } }arguments 31 linesbacktest_trend_crossover reads unknown never probed
Run trend crossover strategy backtest. `period`: history window, e.g. "1y","2y","5y","10y" (default "2y").
{ "type": "object", "title": "backtest_trend_crossoverArguments", "required": [ "ticker" ], "properties": { "fast": { "type": "integer", "title": "Fast", "default": 50 }, "slow": { "type": "integer", "title": "Slow", "default": 200 }, "period": { "enum": [ "1d", "5d", "1mo", "3mo", "6mo", "1y", "2y", "5y", "10y", "ytd", "max" ], "type": "string", "title": "Period", "default": "2y" }, "ticker": { "type": "string", "title": "Ticker" } } }arguments 41 linesgenerate_charts reads unknown never probed
Generate charts for portfolio, strategy, quant, fundamentals, and sector pipeline.
{ "type": "object", "title": "generate_chartsArguments", "required": [ "tickers" ], "properties": { "amount": { "type": "number", "title": "Amount", "default": 10000 }, "market": { "type": "string", "title": "Market", "default": "us" }, "tickers": { "type": "array", "items": { "type": "string" }, "title": "Tickers" }, "timeframe": { "type": "string", "title": "Timeframe", "default": "2y" }, "company_ticker": { "type": "string", "title": "Company Ticker", "default": "" } } }arguments 36 linesanalyze_momentum reads unknown never probed
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").
{ "type": "object", "title": "analyze_momentumArguments", "required": [ "ticker" ], "properties": { "period": { "enum": [ "1d", "5d", "1mo", "3mo", "6mo", "1y", "2y", "5y", "10y", "ytd", "max" ], "type": "string", "title": "Period", "default": "2y" }, "ticker": { "type": "string", "title": "Ticker" }, "indicators": { "anyOf": [ { "type": "array", "items": { "type": "string" } }, { "type": "null" } ], "title": "Indicators", "default": null } } }arguments 46 linesanalyze_volatility reads unknown never probed
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").
{ "type": "object", "title": "analyze_volatilityArguments", "required": [ "ticker" ], "properties": { "period": { "enum": [ "1d", "5d", "1mo", "3mo", "6mo", "1y", "2y", "5y", "10y", "ytd", "max" ], "type": "string", "title": "Period", "default": "2y" }, "ticker": { "type": "string", "title": "Ticker" }, "indicators": { "anyOf": [ { "type": "array", "items": { "type": "string" } }, { "type": "null" } ], "title": "Indicators", "default": null } } }arguments 46 linesanalyze_volume reads unknown never probed
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").
{ "type": "object", "title": "analyze_volumeArguments", "required": [ "ticker" ], "properties": { "period": { "enum": [ "1d", "5d", "1mo", "3mo", "6mo", "1y", "2y", "5y", "10y", "ytd", "max" ], "type": "string", "title": "Period", "default": "2y" }, "ticker": { "type": "string", "title": "Ticker" }, "indicators": { "anyOf": [ { "type": "array", "items": { "type": "string" } }, { "type": "null" } ], "title": "Indicators", "default": null } } }arguments 46 linesanalyze_statistics reads unknown never probed
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").
{ "type": "object", "title": "analyze_statisticsArguments", "required": [ "ticker" ], "properties": { "period": { "enum": [ "1d", "5d", "1mo", "3mo", "6mo", "1y", "2y", "5y", "10y", "ytd", "max" ], "type": "string", "title": "Period", "default": "2y" }, "ticker": { "type": "string", "title": "Ticker" }, "indicators": { "anyOf": [ { "type": "array", "items": { "type": "string" } }, { "type": "null" } ], "title": "Indicators", "default": null } } }arguments 46 linesgenerate_optimized_verdict reads unknown never probed
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.
{ "type": "object", "title": "generate_optimized_verdictArguments", "required": [ "tickers" ], "properties": { "amount": { "type": "number", "title": "Amount", "default": 10000 }, "period": { "enum": [ "1d", "5d", "1mo", "3mo", "6mo", "1y", "2y", "5y", "10y", "ytd", "max" ], "type": "string", "title": "Period", "default": "2y" }, "tickers": { "type": "array", "items": { "type": "string" }, "title": "Tickers" }, "optimize_type": { "enum": [ "mvo", "hrp", "max_sharpe", "min_volatility", "black_litterman", "cvar", "semivariance" ], "type": "string", "title": "Optimize Type", "default": "mvo" } } }arguments 53 linesbacktest_mean_reversion_rsi_bb reads unknown never probed
Run RSI + Bollinger Band mean-reversion strategy backtest. `period`: history window, e.g. "1y","2y","5y","10y" (default "2y").
{ "type": "object", "title": "backtest_mean_reversion_rsi_bbArguments", "required": [ "ticker" ], "properties": { "period": { "enum": [ "1d", "5d", "1mo", "3mo", "6mo", "1y", "2y", "5y", "10y", "ytd", "max" ], "type": "string", "title": "Period", "default": "2y" }, "ticker": { "type": "string", "title": "Ticker" }, "rsi_lower": { "type": "integer", "title": "Rsi Lower", "default": 30 }, "rsi_upper": { "type": "integer", "title": "Rsi Upper", "default": 70 } } }arguments 41 linesbacktest_rsi_mean_reversion reads unknown never probed
Run RSI mean-reversion strategy backtest. `period`: history window, e.g. "1y","2y","5y","10y" (default "2y").
{ "type": "object", "title": "backtest_rsi_mean_reversionArguments", "required": [ "ticker" ], "properties": { "lower": { "type": "integer", "title": "Lower", "default": 30 }, "upper": { "type": "integer", "title": "Upper", "default": 70 }, "length": { "type": "integer", "title": "Length", "default": 14 }, "period": { "enum": [ "1d", "5d", "1mo", "3mo", "6mo", "1y", "2y", "5y", "10y", "ytd", "max" ], "type": "string", "title": "Period", "default": "2y" }, "ticker": { "type": "string", "title": "Ticker" } } }arguments 46 linesbacktest_sma_crossover reads unknown never probed
Run SMA crossover strategy backtest. `period`: history window, e.g. "1y","2y","5y","10y" (default "2y").
{ "type": "object", "title": "backtest_sma_crossoverArguments", "required": [ "ticker" ], "properties": { "fast": { "type": "integer", "title": "Fast", "default": 50 }, "slow": { "type": "integer", "title": "Slow", "default": 200 }, "period": { "enum": [ "1d", "5d", "1mo", "3mo", "6mo", "1y", "2y", "5y", "10y", "ytd", "max" ], "type": "string", "title": "Period", "default": "2y" }, "ticker": { "type": "string", "title": "Ticker" } } }arguments 41 linesget_quote reads unknown 27d ago
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.
{ "type": "object", "title": "get_quoteArguments", "required": [ "tickers" ], "properties": { "tickers": { "type": "array", "items": { "type": "string" }, "title": "Tickers" } } }arguments 16 linesget_company_profile reads unknown 27d ago
Return a full company snapshot with business, valuation, and market metadata.
{ "type": "object", "title": "get_company_profileArguments", "required": [ "ticker" ], "properties": { "ticker": { "type": "string", "title": "Ticker" } } }arguments 13 linesget_news reads unknown 27d ago
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.
{ "type": "object", "title": "get_newsArguments", "required": [ "ticker" ], "properties": { "limit": { "type": "integer", "title": "Limit", "default": 8 }, "ticker": { "type": "string", "title": "Ticker" } } }arguments 18 lines
This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.
Nobody has claimed this listing. Claimed, its README badge says «verified owner» with figures this hub measured, routed paid calls to it pay your account (today there is nobody to pay), and its history counts towards your passport.
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GET /api/v1/me, thenPOST /api/v1/passport. - Prove it is yours. Easiest: put
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POST /api/v1/passport/claim-endpointwith this listing's id10bd0222e9cb57d8.
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MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.
Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.
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