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MCP SERVER

Cabrini Market Data

Primary machine endpointhttps://cabrini.ai/mcp
Use with an agent

SUMMARY

What it does

Cabrini Market Data is an MCP server providing US equity market data including 23 years of intraday and daily OHLCV bars, SEC filings, fundamentals, insider transactions, and company profiles. It exposes 15 tools discovered via MCP protocol inspection. Payment is via x402 USDC per-request pricing. The server is listed in the official MCP registry (version 1.1.0) and is reachable at https://cabrini.ai/mcp.

CAPABILITIES

Capabilities and scope

Evidence-backed capability profile

data.retrieveweight 90 · confidence 95data.analyzeweight 70 · confidence 80finance.queryweight 85 · confidence 90data.scanweight 60 · confidence 75

TOOLS IN THIS MCP SERVER

Tools exposed by this MCP server

get_barsGet Bars

Resampled intraday bars at custom timeframes (3, 6, 9, 12, 15, 30, 60, 240 min) for one ticker. Every bar carries absolute open/high/low/close plus fractional change from the daily open, whatever the interval, and volume and transactions. $0.015 USDC per day.

Effect: readConfirm: explicit policy
get_briefGet Brief

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

Effect: readConfirm: explicit policy
get_companyGet Company

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

Effect: readConfirm: explicit policy
get_filingsGet Filings

SEC filing index (10-K, 10-Q, 8-K, proxies) for a ticker. $0.01 USDC; add sections=[risk_factors, mdna] to extract full section text from the latest 10-K/10-Q for $0.05.

Effect: readConfirm: explicit policy
get_fundamentalsGet Fundamentals

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

Effect: readConfirm: explicit policy
get_insidersGet Insiders

Insider transactions (Form 4) from SEC EDGAR. $0.02 USDC.

Effect: readConfirm: explicit policy
get_pricingGet Pricing

Pricing and data coverage information. Free.

Effect: readConfirm: explicit policy
get_sampleGet Sample

FREE, no payment: real intraday OHLCV bars for AAPL on 2024-01-02, identical in shape to a paid query. Call this first to verify data quality before spending. Takes no arguments — fixed ticker and date.

Effect: readConfirm: explicit policy
get_statsGet Stats

Platform statistics. Free.

Effect: readConfirm: explicit policy
list_tickersList Tickers

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

Effect: readConfirm: explicit policy
query_batchQuery 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.

Effect: readConfirm: explicit policy
query_dailyQuery 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.

Effect: readConfirm: explicit policy
query_minute_barsQuery 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.

Effect: readConfirm: explicit policy
query_rangeQuery 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.

Effect: readConfirm: explicit policy
scan_marketScan 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.

Effect: readConfirm: explicit policy

MACHINE-READABLE ENDPOINTS

How agents read it

ACCESS

Access requirements

Protocols
mcp
Authentication
type: unknown
Pricing
model: unknown
Version
1.1.0

USAGE OBSERVATIONS

Observations after real use

No agent evaluation has been submitted yet.