# io.github.paarths-collab/quant-brain-mcp (remote · mcp-quant-brain.onrender.com)

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

- Trust score: 73/100 (medium)
- Change this week: +1
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-09-20

## Components

- remote · `mcp-quant-brain.onrender.com`: 73/100 (this document), [markdown](https://verifymcp.io/servers/paarths-collab-quant-brain-mcp/mcp-quant-brain.md), [page](https://verifymcp.io/servers/paarths-collab-quant-brain-mcp/mcp-quant-brain)

## Channel facts

- Endpoint: `https://mcp-quant-brain.onrender.com/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.0`

## Trust breakdown

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. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-09-20.

- **Endpoint Security**: 57/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation not fully verified: no authorisation is required to call this server, and 25 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe.
  - HTTPS is enforced; there's no plaintext access path.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 60/100
  - AI-judged instruction clarity (good).
  - 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.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 100/100
  - No destabilizing schema changes in the last 30 days.
- **Tool Coverage**: 71/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 0% of tool parameters carry a description.
  - Structured output schemas are declared (8% of tools); any adoption earns full credit.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 25 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 26 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## 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.

### Claude

```bash
claude mcp add --transport http paarths-collab-quant-brain-mcp 'https://mcp-quant-brain.onrender.com/mcp'
```

### Cursor

```json
{
  "mcpServers": {
    "paarths-collab-quant-brain-mcp": {
      "url": "https://mcp-quant-brain.onrender.com/mcp"
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "paarths-collab-quant-brain-mcp": {
      "type": "http",
      "url": "https://mcp-quant-brain.onrender.com/mcp"
    }
  }
}
```

### Codex

```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
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add paarths-collab-quant-brain-mcp --url 'https://mcp-quant-brain.onrender.com/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  paarths-collab-quant-brain-mcp:
    url: "https://mcp-quant-brain.onrender.com/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "paarths-collab-quant-brain-mcp": {
      "Transport": "http",
      "Url": "https://mcp-quant-brain.onrender.com/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add paarths-collab-quant-brain-mcp -t streamable-http -u 'https://mcp-quant-brain.onrender.com/mcp'
```

### Other

```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 recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-09-15 (score 73, 0)

- [security] Stability: 0.97 → pass

### 2026-09-14 (score 73, +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.

### 2026-09-12 (score 72, +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.

### 2026-09-10 (score 71, +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.

### 2026-09-07 (score 70, +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.

### 2026-09-05 (score 69, +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.

### 2026-09-03 (score 68, +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.

### 2026-09-01 (score 67, +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.

## MCP tools (25)

### `generate_optimized_verdict` (~193 tokens)

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.

Input parameters:

- `amount` (number)
- `optimize_type` (string)
- `period` (string)
- `tickers` (array, required)

### `get_company_profile` (~30 tokens)

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

Input parameters:

- `ticker` (string, required)

### `get_quote` (~117 tokens)

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.

Input parameters:

- `tickers` (array, required)

### `build_trade_plan` (~184 tokens)

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.

Input parameters:

- `direction` (string)
- `equity` (number, required)
- `period` (string)
- `risk_pct` (number)
- `ticker` (string, required)

### `scan_watchlist` (~150 tokens)

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.

Input parameters:

- `period` (string)
- `tickers` (array, required)

### `price_alert` (~197 tokens)

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.

Input parameters:

- `action` (string, required)
- `alert_id`
- `direction`
- `level`
- `note`
- `ticker`

### `get_news` (~87 tokens)

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.

Input parameters:

- `limit` (integer)
- `ticker` (string, required)

### `find_sector_stock_pipeline_tool` (~53 tokens)

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

Input parameters:

- `market` (string)
- `top_n_sectors` (integer)
- `top_n_stocks` (integer)

### `analyze_sector_intelligence_tool` (~42 tokens)

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

Input parameters:

- `market` (string)
- `timeframe` (string)

### `backtest_macd_momentum` (~67 tokens)

Run MACD momentum strategy backtest for one ticker.

    `period`: history window, e.g. "1y","2y","5y","10y" (default "2y").

Input parameters:

- `period` (string)
- `ticker` (string, required)

### `backtest_macd_trend_follower` (~91 tokens)

Run MACD trend follower strategy backtest for one ticker.

    `period`: history window, e.g. "1y","2y","5y","10y" (default "2y").

Input parameters:

- `fast` (integer)
- `period` (string)
- `signal` (integer)
- `slow` (integer)
- `ticker` (string, required)

### `backtest_mean_reversion_rsi_bb` (~89 tokens)

Run RSI + Bollinger Band mean-reversion strategy backtest.

    `period`: history window, e.g. "1y","2y","5y","10y" (default "2y").

Input parameters:

- `period` (string)
- `rsi_lower` (integer)
- `rsi_upper` (integer)
- `ticker` (string, required)

### `backtest_rsi_mean_reversion` (~87 tokens)

Run RSI mean-reversion strategy backtest.

    `period`: history window, e.g. "1y","2y","5y","10y" (default "2y").

Input parameters:

- `length` (integer)
- `lower` (integer)
- `period` (string)
- `ticker` (string, required)
- `upper` (integer)

### `backtest_sma_crossover` (~77 tokens)

Run SMA crossover strategy backtest.

    `period`: history window, e.g. "1y","2y","5y","10y" (default "2y").

Input parameters:

- `fast` (integer)
- `period` (string)
- `slow` (integer)
- `ticker` (string, required)

### `backtest_trend_crossover` (~77 tokens)

Run trend crossover strategy backtest.

    `period`: history window, e.g. "1y","2y","5y","10y" (default "2y").

Input parameters:

- `fast` (integer)
- `period` (string)
- `slow` (integer)
- `ticker` (string, required)

### `backtest_volatility_breakout` (~70 tokens)

Run volatility breakout strategy backtest.

    `period`: history window, e.g. "1y","2y","5y","10y" (default "2y").

Input parameters:

- `length` (integer)
- `period` (string)
- `ticker` (string, required)

### `generate_chart_pack` (~57 tokens)

Generate the full institutional chart suite for dashboard rendering.

Input parameters:

- `amount` (number)
- `company_ticker` (string)
- `market` (string)
- `tickers` (array, required)
- `timeframe` (string)

### `generate_charts` (~62 tokens)

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

Input parameters:

- `amount` (number)
- `company_ticker` (string)
- `market` (string)
- `tickers` (array, required)
- `timeframe` (string)

Output parameters:

- `result` (array)

### `plot_charts` (~60 tokens)

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

Input parameters:

- `amount` (number)
- `company_ticker` (string)
- `market` (string)
- `tickers` (array, required)
- `timeframe` (string)

Output parameters:

- `result` (array)

### `analyze_momentum` (~137 tokens)

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").

Input parameters:

- `indicators`
- `period` (string)
- `ticker` (string, required)

### `analyze_technical_levels` (~128 tokens)

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").

Input parameters:

- `indicators`
- `period` (string)
- `ticker` (string, required)

### `analyze_trend` (~120 tokens)

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").

Input parameters:

- `indicators`
- `period` (string)
- `ticker` (string, required)

### `analyze_volatility` (~120 tokens)

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").

Input parameters:

- `indicators`
- `period` (string)
- `ticker` (string, required)

### `analyze_volume` (~115 tokens)

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").

Input parameters:

- `indicators`
- `period` (string)
- `ticker` (string, required)

### `analyze_statistics` (~114 tokens)

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").

Input parameters:

- `indicators`
- `period` (string)
- `ticker` (string, required)

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/paarths-collab-quant-brain-mcp/mcp-quant-brain#diagnostics

## Score history

- 2026-09-20: 73
- 2026-09-19: 73
- 2026-09-18: 73
- 2026-09-17: 73
- 2026-09-16: 73
- 2026-09-15: 73
- 2026-09-14: 73
- 2026-09-13: 72
- 2026-09-12: 72
- 2026-09-11: 71
- 2026-09-10: 71
- 2026-09-09: 70
- 2026-09-08: 70
- 2026-09-07: 70
- 2026-09-06: 69
- 2026-09-05: 69
- 2026-09-04: 68
- 2026-09-03: 68
- 2026-09-02: 67
- 2026-09-01: 67
- 2026-08-31: 66
- 2026-08-30: 66
- 2026-08-29: 65
- 2026-08-28: 65
- 2026-08-27: 64
- 2026-08-26: 64
- 2026-08-25: 61
- 2026-08-24: 61
- 2026-08-23: 60
- 2026-08-22: 60

## 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.

## Links

- Remote endpoint: https://mcp-quant-brain.onrender.com/mcp
- Repository: https://github.com/paarths-collab/quant-brain-mcp
- Changelog RSS feed: https://verifymcp.io/servers/paarths-collab-quant-brain-mcp/mcp-quant-brain.xml
- Changelog JSON feed: https://verifymcp.io/servers/paarths-collab-quant-brain-mcp/mcp-quant-brain.json
- HTML version of this page: https://verifymcp.io/servers/paarths-collab-quant-brain-mcp/mcp-quant-brain