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Cabrini Market Data

not classified

US equity data for AI agents — 23 years intraday + daily, SEC filings. x402 USDC payments.

v1.1.0 · active · repository · descriptor JSON · versions

Not classified yet.The remote endpoints have not been probed successfully, or the listing has nothing to connect to.
Quality79good
Trust61of 100
Uptime, 30 days90%
Latency p50405 ms

Connect

8 clients · secrets stay placeholders
{
  "mcpServers": {
    "market-data": {
      "type": "http",
      "url": "https://cabrini.ai/mcp"
    }
  }
}
claude mcp add --transport http market-data https://cabrini.ai/mcp
[mcp_servers.market-data]
url = "https://cabrini.ai/mcp"
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "market-data": {
      "type": "remote",
      "url": "https://cabrini.ai/mcp",
      "enabled": true
    }
  }
}
{
  "mcpServers": {
    "market-data": {
      "type": "http",
      "url": "https://cabrini.ai/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=market-data&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vY2FicmluaS5haS9tY3AifQ%3D%3D"
}
{
  "servers": {
    "market-data": {
      "type": "http",
      "url": "https://cabrini.ai/mcp"
    }
  }
}
{
  "mcpServers": {
    "market-data": {
      "httpUrl": "https://cabrini.ai/mcp"
    }
  }
}
extensions:
  "market-data":
    enabled: true
    name: "market-data"
    type: streamable_http
    uri: "https://cabrini.ai/mcp"
    timeout: 300

Quality 79 / 100good

protocol75 · weight 25
  • warn
    protocol.modernnewest supported version is 2025-03-26; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
  • n/a
    protocol.statelessonly applies to 2026-07-28 servers
  • pass
    protocol.transportstreamable HTTP
  • n/a
    protocol.list_ttlonly applies to 2026-07-28 servers
authorizationn/a · weight 15
  • n/a
    auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
  • n/a
    auth.secret_in_urlno templated URL
tool hygiene71 · weight 30
  • pass
    tools.descriptionsevery tool has a description
  • pass
    tools.description_lengthdescriptions are concise
  • pass
    tools.schemasevery tool has an object input schema
  • fail
    tools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
  • fail
    tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: query_daily (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_tickers (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); query_range (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); …
  • pass
    tools.token_costabout 1,667 tokens to load every tool
  • pass
    tools.api_dumptools are not a one-to-one API dump
stability100 · weight 15
  • pass
    stability.changesno tool changes in 30 days
  • pass
    stability.rug_pullno tool changed its meaning under the same name
dependenciesn/a · weight 15
  • n/a
    deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

15 tools, about 1,667 tokens to load them all · tool set 6339260a6d48 · checked 2026-10-20 17:34 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 61 / 100

unreachable
provenance75
liveness6
freshness85
hygiene100

+repository +dns-namespace -unreachable(3 failures) ~updated-83d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remoteauthreachableuptime 30dp50protocollast ok
https://cabrini.ai/mcp streamable-httpnoneno (3 failures)90%405 ms2025-03-262026-10-17

Tools (15)

get_barsResampled 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.
get_briefFull research brief: price, fundamentals, insiders, splits for one ticker. $0.25 USDC.
get_companyCompany profile: name, CIK, industry, exchange, fiscal year. $0.005 USDC.
get_filingsSEC 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.
get_fundamentalsQuarterly fundamentals from SEC EDGAR (revenue, EPS, margins, etc). $0.02 USDC.
get_insidersInsider transactions (Form 4) from SEC EDGAR. $0.02 USDC.
get_pricingPricing and data coverage information. Free.
get_sampleFREE, 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.
get_statsPlatform statistics. Free.
list_tickersList all tickers that traded on a given date. $0.005 USDC.
query_batchMultiple 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.
query_dailyDaily 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.
query_minute_barsFull 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.
query_rangeMulti-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.
scan_marketScan 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.

Schemas: list_tools.

Similar MCP servers

Official server.json
{
  "name": "ai.cabrini/market-data",
  "title": "Cabrini Market Data",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://cabrini.ai/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "1.1.0",
  "repository": {
    "url": "https://github.com/nlapi/cabrini-py",
    "source": "github"
  },
  "description": "US equity data for AI agents — 23 years intraday + daily, SEC filings. x402 USDC payments."
}