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io.github.paarths-collab/quant-brain-mcp

REMOTE · MCP-QUANT-BRAIN.ONRENDER.COM · SCANNED SEP 20

Stock analysis MCP: 38 indicators, 7 optimizers, 8 backtests, US + India sectors.

+1 this week 73 Trust /100
Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →

Endpoint Security57
Transport & Reachability100
Schema Quality & AI Usability60
  • AI-judged instruction clarity (good).Pass
  • Context-footprint check failed: tool/resource definitions use about 3236 tokens (~129/item across 25 items; 25 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
  • No destabilizing schema changes in the last 30 days.Pass
Tool Coverage71
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 0% of tool parameters carry a description.Fail
  • Structured output schemas are declared (8% of tools); any adoption earns full credit.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 25 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 26 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

How do I install the io.github.paarths-collab/quant-brain-mcp server?

io.github.paarths-collab/quant-brain-mcp is a hosted endpoint at https://mcp-quant-brain.onrender.com/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

remote · mcp-quant-brain.onrender.com

# add to Claude Code
claude mcp add --transport http paarths-collab-quant-brain-mcp 'https://mcp-quant-brain.onrender.com/mcp'
// .cursor/mcp.json
{
  "mcpServers": {
    "paarths-collab-quant-brain-mcp": {
      "url": "https://mcp-quant-brain.onrender.com/mcp"
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "paarths-collab-quant-brain-mcp": {
      "type": "http",
      "url": "https://mcp-quant-brain.onrender.com/mcp"
    }
  }
}
# ~/.codex/config.toml
[mcp_servers.paarths-collab-quant-brain-mcp]
url = "https://mcp-quant-brain.onrender.com/mcp"
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "paarths-collab-quant-brain-mcp": {
      "type": "remote",
      "url": "https://mcp-quant-brain.onrender.com/mcp",
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add paarths-collab-quant-brain-mcp --url 'https://mcp-quant-brain.onrender.com/mcp' --transport streamable-http
# ~/.hermes/config.yaml
mcp_servers:
  paarths-collab-quant-brain-mcp:
    url: "https://mcp-quant-brain.onrender.com/mcp"
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "paarths-collab-quant-brain-mcp": {
      "Transport": "http",
      "Url": "https://mcp-quant-brain.onrender.com/mcp"
    }
  }
}
# add to Vellum
assistant mcp add paarths-collab-quant-brain-mcp -t streamable-http -u 'https://mcp-quant-brain.onrender.com/mcp'
// mcp.json
{
  "mcpServers": {
    "paarths-collab-quant-brain-mcp": {
      "type": "http",
      "url": "https://mcp-quant-brain.onrender.com/mcp"
    }
  }
}

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 15 Sept 26 0
    • Stability: 0.97 → pass security
  • 14 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.

  • 12 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 87 to 90. That category is still filling its 30-day observation window: 26 days of observed history at the previous scan, 27 at this one. The score rises as the window fills, whether or not the server changes.

  • 10 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 80 to 83. That category is still filling its 30-day observation window: 24 days of observed history at the previous scan, 25 at this one. The score rises as the window fills, whether or not the server changes.

  • 7 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 70 to 73. That category is still filling its 30-day observation window: 21 days of observed history at the previous scan, 22 at this one. The score rises as the window fills, whether or not the server changes.

  • 5 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 63 to 67. That category is still filling its 30-day observation window: 19 days of observed history at the previous scan, 20 at this one. The score rises as the window fills, whether or not the server changes.

  • 3 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 57 to 60. That category is still filling its 30-day observation window: 17 days of observed history at the previous scan, 18 at this one. The score rises as the window fills, whether or not the server changes.

  • 1 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 50 to 53. That category is still filling its 30-day observation window: 15 days of observed history at the previous scan, 16 at this one. The score rises as the window fills, whether or not the server changes.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 20 Sept 2026 · Probed https://mcp-quant-brain.onrender.com/mcp

TLS valid

Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .

Subject Issuer Valid from Valid until Key Signature Serial
CN=onrender.com CN=WE1,O=Google Trust Services,C=US 24 Jul 2026 22 Oct 2026 ECDSA 256 ECDSA-SHA256 756bcb97dcf1455f0ebf70e5dbe07256
SANs: onrender.com, *.onrender.com
CN=WE1,O=Google Trust Services,C=US (CA) CN=GTS Root R4,O=Google Trust Services LLC,C=US 13 Dec 2023 20 Feb 2029 ECDSA 256 ECDSA-SHA384 7ff31977972c224a76155d13b6d685e3
CN=GTS Root R4,O=Google Trust Services LLC,C=US (CA) CN=GlobalSign Root CA,OU=Root CA,O=GlobalSign nv-sa,C=BE 15 Nov 2023 28 Jan 2028 ECDSA 384 SHA256-RSA 7fe530bf331343bedd821610493d8a1b

Background: What to check on a remote MCP endpoint →

DNSSEC insecure

Validation of mcp-quant-brain.onrender.com. Not signed

Zone DS Keys Algorithms Outcome
. trust_anchor 20326, 38696 8, 8 Verified
com. present 19718 13 Verified
onrender.com. absent Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation
Authentication No authorisation required

The endpoint answered without asking for a token. Anyone who knows the URL can reach it.

Result No authorisation required
HTTP status 200

Background: How OAuth 2.1 works in the 2026 MCP spec →

Transports 2 probes
Transport URL Outcome Status Location
streamable-http https://mcp-quant-brain.onrender.com/mcp Verified 200
http (plaintext) http://mcp-quant-brain.onrender.com/mcp HTTPS enforced 301 https://mcp-quant-brain.onrender.com/mcp
MCP tools · 25 exposed · ~2,524 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
analyze_momentum ~137

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").

NameTypeReqDescription
indicators
periodstring
tickerstringyes

No output schema declared.

No examples provided.

analyze_sector_intelligence_tool ~42

Analyze sector return, risk, momentum, drawdown and correlation; select best sector.

NameTypeReqDescription
marketstring
timeframestring

No output schema declared.

No examples provided.

analyze_statistics ~114

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").

NameTypeReqDescription
indicators
periodstring
tickerstringyes

No output schema declared.

No examples provided.

analyze_technical_levels ~128

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").

NameTypeReqDescription
indicators
periodstring
tickerstringyes

No output schema declared.

No examples provided.

analyze_trend ~120

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").

NameTypeReqDescription
indicators
periodstring
tickerstringyes

No output schema declared.

No examples provided.

analyze_volatility ~120

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").

NameTypeReqDescription
indicators
periodstring
tickerstringyes

No output schema declared.

No examples provided.

analyze_volume ~115

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").

NameTypeReqDescription
indicators
periodstring
tickerstringyes

No output schema declared.

No examples provided.

backtest_macd_momentum ~67

Run MACD momentum strategy backtest for one ticker. `period`: history window, e.g. "1y","2y","5y","10y" (default "2y").

NameTypeReqDescription
periodstring
tickerstringyes

No output schema declared.

No examples provided.

backtest_macd_trend_follower ~91

Run MACD trend follower strategy backtest for one ticker. `period`: history window, e.g. "1y","2y","5y","10y" (default "2y").

NameTypeReqDescription
fastinteger
periodstring
signalinteger
slowinteger
tickerstringyes

No output schema declared.

No examples provided.

backtest_mean_reversion_rsi_bb ~89

Run RSI + Bollinger Band mean-reversion strategy backtest. `period`: history window, e.g. "1y","2y","5y","10y" (default "2y").

NameTypeReqDescription
periodstring
rsi_lowerinteger
rsi_upperinteger
tickerstringyes

No output schema declared.

No examples provided.

backtest_rsi_mean_reversion ~87

Run RSI mean-reversion strategy backtest. `period`: history window, e.g. "1y","2y","5y","10y" (default "2y").

NameTypeReqDescription
lengthinteger
lowerinteger
periodstring
tickerstringyes
upperinteger

No output schema declared.

No examples provided.

backtest_sma_crossover ~77

Run SMA crossover strategy backtest. `period`: history window, e.g. "1y","2y","5y","10y" (default "2y").

NameTypeReqDescription
fastinteger
periodstring
slowinteger
tickerstringyes

No output schema declared.

No examples provided.

backtest_trend_crossover ~77

Run trend crossover strategy backtest. `period`: history window, e.g. "1y","2y","5y","10y" (default "2y").

NameTypeReqDescription
fastinteger
periodstring
slowinteger
tickerstringyes

No output schema declared.

No examples provided.

backtest_volatility_breakout ~70

Run volatility breakout strategy backtest. `period`: history window, e.g. "1y","2y","5y","10y" (default "2y").

NameTypeReqDescription
lengthinteger
periodstring
tickerstringyes

No output schema declared.

No examples provided.

build_trade_plan ~184

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.

NameTypeReqDescription
directionstring
equitynumberyes
periodstring
risk_pctnumber
tickerstringyes

No output schema declared.

No examples provided.

find_sector_stock_pipeline_tool ~53

Run a multi-step pipeline: sector performance -> stock ranking -> strategy selection.

NameTypeReqDescription
marketstring
top_n_sectorsinteger
top_n_stocksinteger

No output schema declared.

No examples provided.

generate_chart_pack ~57

Generate the full institutional chart suite for dashboard rendering.

NameTypeReqDescription
amountnumber
company_tickerstring
marketstring
tickersarrayyes
timeframestring

No output schema declared.

No examples provided.

generate_charts ~62

Generate charts for portfolio, strategy, quant, fundamentals, and sector pipeline.

NameTypeReqDescription
amountnumber
company_tickerstring
marketstring
tickersarrayyes
timeframestring
NameTypeReqDescription
resultarrayyes

No examples provided.

generate_optimized_verdict ~193

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.

NameTypeReqDescription
amountnumber
optimize_typestring
periodstring
tickersarrayyes

No output schema declared.

No examples provided.

get_company_profile ~30

Return a full company snapshot with business, valuation, and market metadata.

NameTypeReqDescription
tickerstringyes

No output schema declared.

No examples provided.

get_news ~87

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.

NameTypeReqDescription
limitinteger
tickerstringyes

No output schema declared.

No examples provided.

get_quote ~117

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.

NameTypeReqDescription
tickersarrayyes

No output schema declared.

No examples provided.

plot_charts ~60

Alias for chart generation; kept for natural plotting language in clients.

NameTypeReqDescription
amountnumber
company_tickerstring
marketstring
tickersarrayyes
timeframestring
NameTypeReqDescription
resultarrayyes

No examples provided.

price_alert ~197

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.

NameTypeReqDescription
actionstringyes
alert_id
direction
level
note
ticker

No output schema declared.

No examples provided.

scan_watchlist ~150

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.

NameTypeReqDescription
periodstring
tickersarrayyes

No output schema declared.

No examples provided.

Common questions

What is the io.github.paarths-collab/quant-brain-mcp server?

io.github.paarths-collab/quant-brain-mcp is listed in the public MCP registry as io.github.paarths-collab/quant-brain-mcp. Stock analysis MCP: 38 indicators, 7 optimizers, 8 backtests, US + India sectors. This page covers its hosted endpoint (https://mcp-quant-brain.onrender.com/mcp).

Is the io.github.paarths-collab/quant-brain-mcp server safe to use?

io.github.paarths-collab/quant-brain-mcp scores 73 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the io.github.paarths-collab/quant-brain-mcp server expose?

io.github.paarths-collab/quant-brain-mcp exposes 25 tools: generate_optimized_verdict, get_company_profile, get_quote, build_trade_plan, scan_watchlist, and 20 more. Their descriptions and schemas cost roughly 2,524 tokens of context every time the server is loaded.

Does the io.github.paarths-collab/quant-brain-mcp server require authentication?

No. We connected to io.github.paarths-collab/quant-brain-mcp without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

Is the io.github.paarths-collab/quant-brain-mcp server still maintained?

io.github.paarths-collab/quant-brain-mcp is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.