Cabrini Market Data
REMOTE · CABRINI.AI · SCANNED SEP 28
US equity data for AI agents — 23 years intraday + daily, SEC filings. x402 USDC payments.
Available components
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 Security46
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- Authorisation not fully verified: no authorisation is required to call this server, and 15 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe. See how to fix → View diagnostics → Unverified
- HTTPS enforcement could not be verified: the plaintext port answered with HTTP 405, which proves neither a plaintext path nor enforcement. View diagnostics → Unverified
- HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability73
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 1438 tokens (~95/item across 15 items; 15 tools + 0 resources), lean.Pass
- 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 Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 15 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 15 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities40
- Spec-recency check failed: implements MCP spec 2025-03-26; the latest is 2026-07-28. See how to fix → Fail
How do I install the Cabrini Market Data MCP server?
Cabrini Market Data is a hosted endpoint at https://cabrini.ai/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 · cabrini.ai
claude mcp add --transport http ai-cabrini-market-data 'https://cabrini.ai/mcp'
{
"mcpServers": {
"ai-cabrini-market-data": {
"url": "https://cabrini.ai/mcp"
}
}
} {
"servers": {
"ai-cabrini-market-data": {
"type": "http",
"url": "https://cabrini.ai/mcp"
}
}
} [mcp_servers.ai-cabrini-market-data] url = "https://cabrini.ai/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"ai-cabrini-market-data": {
"type": "remote",
"url": "https://cabrini.ai/mcp",
"enabled": true
}
}
} openclaw mcp add ai-cabrini-market-data --url 'https://cabrini.ai/mcp' --transport streamable-http
mcp_servers:
ai-cabrini-market-data:
url: "https://cabrini.ai/mcp" {
"McpServers": {
"ai-cabrini-market-data": {
"Transport": "http",
"Url": "https://cabrini.ai/mcp"
}
}
} assistant mcp add ai-cabrini-market-data -t streamable-http -u 'https://cabrini.ai/mcp'
{
"mcpServers": {
"ai-cabrini-market-data": {
"type": "http",
"url": "https://cabrini.ai/mcp"
}
}
} The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.
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.
- 28 Sept 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 25 Sept 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 26 Aug 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 25 Aug 26 0
- Stability: 0.97 → pass security
- 11 Aug 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 31 Jul 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 30 Jul 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 28 Jul 26 0
- Server version: 3.0.0 → 3.1.0 functional
- “get_brief” reworded the description of “lookback_days” cosmetic
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 28 Sept 2026 · Probed https://cabrini.ai/mcp
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=cabrini.ai | CN=WE1,O=Google Trust Services,C=US | 24 Aug 2026 | 22 Nov 2026 | ECDSA 256 | ECDSA-SHA256 | 1893f68ad9e4eec4139c95d74dca7b1f |
| SANs: cabrini.ai, *.cabrini.ai | ||||||
| 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 cabrini.ai. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| ai. | present | 3799 | 8 | Verified |
| cabrini.ai. | 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://cabrini.ai/mcp | Verified | 200 | |
| http (plaintext) | http://cabrini.ai/mcp | Inconclusive | 405 |
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 →
get_bars ~181
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.
| Name | Type | Req | Description |
|---|---|---|---|
| adjusted | boolean | – | Apply split adjustment (default false) |
| date | string | – | Trading date YYYY-MM-DD |
| end | string | – | Multi-day end date |
| interval | integer | yes | Bar interval in minutes: 3, 6, 9, 12, 15, 30, 60, or 240 |
| start | string | – | Multi-day start date |
| ticker | string | yes | Stock ticker (e.g. AAPL) |
No output schema declared.
No examples provided.
get_brief ~85
Full research brief: price, fundamentals, insiders, splits for one ticker. $0.25 USDC.
| Name | Type | Req | Description |
|---|---|---|---|
| date | string | – | As-of date YYYY-MM-DD (default: today) |
| lookback_days | integer | – | Days of price history, 1-365 (default 30) |
| ticker | string | yes | Stock ticker (e.g. NVDA) |
No output schema declared.
No examples provided.
get_company ~45
Company profile: name, CIK, industry, exchange, fiscal year. $0.005 USDC.
| Name | Type | Req | Description |
|---|---|---|---|
| ticker | string | yes | Stock ticker (e.g. AAPL) |
No output schema declared.
No examples provided.
get_filings ~163
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.
| Name | Type | Req | Description |
|---|---|---|---|
| accession | string | – | Extract sections from this specific filing accession number |
| from_date | string | – | Start date YYYY-MM-DD |
| sections | array | – | Extract section text: risk_factors and/or mdna |
| ticker | string | yes | Stock ticker (e.g. AAPL) |
| to_date | string | – | End date YYYY-MM-DD |
| types | array | – | Filter to filing types, e.g. ["10-K", "8-K"] |
No output schema declared.
No examples provided.
get_fundamentals ~84
Quarterly fundamentals from SEC EDGAR (revenue, EPS, margins, etc). $0.02 USDC.
| Name | Type | Req | Description |
|---|---|---|---|
| from_date | string | – | Start date YYYY-MM-DD |
| metrics | array | – | Filter metrics |
| ticker | string | yes | Stock ticker (e.g. AAPL) |
| to_date | string | – | End date YYYY-MM-DD |
No output schema declared.
No examples provided.
get_insiders ~69
Insider transactions (Form 4) from SEC EDGAR. $0.02 USDC.
| Name | Type | Req | Description |
|---|---|---|---|
| from_date | string | – | Start date YYYY-MM-DD |
| ticker | string | yes | Stock ticker (e.g. AAPL) |
| to_date | string | – | End date YYYY-MM-DD |
No output schema declared.
No examples provided.
get_pricing ~17
Pricing and data coverage information. Free.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
get_sample ~59
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.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
get_stats ~13
Platform statistics. Free.
Input schema present but exposes no named parameters.
No output schema declared.
No examples provided.
list_tickers ~37
List all tickers that traded on a given date. $0.005 USDC.
| Name | Type | Req | Description |
|---|---|---|---|
| date | string | yes | YYYY-MM-DD |
No output schema declared.
No examples provided.
query_batch ~68
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.
| Name | Type | Req | Description |
|---|---|---|---|
| date | string | yes | YYYY-MM-DD |
| tickers | array | yes | List of ticker symbols |
No output schema declared.
No examples provided.
query_daily ~114
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.
| Name | Type | Req | Description |
|---|---|---|---|
| end | string | yes | End date YYYY-MM-DD |
| start | string | yes | Start date YYYY-MM-DD |
| ticker | string | yes | Stock ticker (e.g. AAPL) |
No output schema declared.
No examples provided.
query_minute_bars ~142
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.
| Name | Type | Req | Description |
|---|---|---|---|
| date | string | yes | YYYY-MM-DD |
| interval | integer | – | Bar interval in minutes: 3, 6, 9, 12, 15, 30, 60, or 240 (default 3) |
| ticker | string | yes | Stock ticker (e.g. AAPL) |
No output schema declared.
No examples provided.
query_range ~144
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.
| Name | Type | Req | Description |
|---|---|---|---|
| end | string | yes | End date YYYY-MM-DD |
| interval | integer | – | Bar interval in minutes: 3, 6, 9, 12, 15, 30, 60, or 240 (default 3) |
| start | string | yes | Start date YYYY-MM-DD |
| ticker | string | yes | Stock ticker (e.g. AAPL) |
No output schema declared.
No examples provided.
scan_market ~217
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.
| Name | Type | Req | Description |
|---|---|---|---|
| change_pct_max | number | – | Max intraday change % |
| change_pct_min | number | – | Min intraday change % |
| date | string | yes | YYYY-MM-DD |
| gap_down_pct | number | – | Min gap down % from prior close |
| gap_up_pct | number | – | Min gap up % from prior close |
| limit | integer | – | Max results (default 50) |
| range_pct_min | number | – | Min intraday range (high-low)/open as a percent, e.g. 5 for 5% |
| volume_min | integer | – | Min total volume |
| volume_ratio_min | number | – | Min volume vs prior day (e.g. 2.0) |
No output schema declared.
No examples provided.
What is the Cabrini Market Data MCP server?
Cabrini Market Data is an MCP server listed in the public MCP registry as ai.cabrini/market-data. US equity data for AI agents, 23 years intraday + daily, SEC filings. x402 USDC payments. This page covers its hosted endpoint (https://cabrini.ai/mcp).
Is the Cabrini Market Data MCP server safe to use?
Cabrini Market Data scores 71 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 Cabrini Market Data MCP server expose?
Cabrini Market Data exposes 15 tools: query_minute_bars, list_tickers, query_range, query_batch, scan_market, and 10 more. Their descriptions and schemas cost roughly 1,438 tokens of context every time the server is loaded.
Does the Cabrini Market Data MCP server require authentication?
No. We connected to Cabrini Market Data without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the Cabrini Market Data MCP server still maintained?
Cabrini Market Data is still listed as active in the MCP registry. We last reached this channel on 28 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.