Cabrini Market Data

What it can reach

From its install config and its own description; a sandbox run will confirm this later.

Checks on v1.1.0

1. Real tool

   passrules 2026-09-29.1 · 6 hours ago

2. Static scan

   passrules 2026-09-29.1 · 6 hours ago

3. Claims check

   skippedrules 2026-09-29.1 · 6 hours ago
   • infoLLM claims check is not configured on this deploy.

Install

Each app still asks you to confirm. Everything is pinned to the version checked above.

{
  "servers": {
    "market-data": {
      "type": "http",
      "url": "https://cabrini.ai/mcp"
    }
  }
}

Tools it offers

As the server describes them. This text comes from the publisher and is shown as-is.

• query_minute_bars

  Full trading day of intraday bars for one US stock (interval 3-240 min, default 3m). Every bar carries absolute open/high/low/close plus pct_open/pct_high/pct_low/pct_close (fractional change from that day's open), volume and transactions. $0.025 USDC.

• list_tickers

  List all tickers that traded on a given date. $0.005 USDC.

• query_range

  Multi-day intraday bars for one ticker (interval 3-240 min, default 3m). Every bar carries absolute open/high/low/close plus fractional change from that day's own open — percentages reset daily, not cumulative. $0.01/day, no day limit.

• query_batch

  Multiple tickers for one date. Every bar carries absolute open/high/low/close plus fractional change from that ticker's own daily open. $0.02/ticker, no limit.

• scan_market

  Scan all US stocks on a date for custom criteria (gaps, volume, change). Returns pct_change, range_pct, pct_gap, true_range_pct, volume and volume_ratio per match — criteria in percent (5 = 5%), outputs fractional (0.05 = 5%). $0.10 USDC.

• query_daily

  Daily OHLCV bars plus VWAP, range_pct and true_range_pct for one ticker over a date range. range_pct = (high - low) / open is a ready-made volatility read; true_range_pct also captures the overnight gap. Day-level aggregates — the cheapest way to cover long histories. $0.001/year.

• get_brief

  Full research brief: price, fundamentals, insiders, splits for one ticker. $0.25 USDC.

• get_company

  Company profile: name, CIK, industry, exchange, fiscal year. $0.005 USDC.

• get_fundamentals

  Quarterly fundamentals from SEC EDGAR (revenue, EPS, margins, etc). $0.02 USDC.