ENDPOINT 1
https://cabrini.ai/mcp
MCP server metadata
- Name
- cabrini.ai
- Version
- 3.1.0
Known tools 15
query_minute_barsFull trading day of intraday bars for one US stock (interval 3-240 min, default 3m).
Inferred read-onlyquery_rangeMulti-day intraday bars for one ticker (interval 3-240 min, default 3m).
Inferred read-onlyscan_marketScan all US stocks on a date for custom criteria (gaps, volume, change).
Inferred read-onlyquery_dailyDaily OHLCV bars plus VWAP, range_pct and true_range_pct for one ticker over a date range.
Inferred read-onlyget_briefFull research brief: price, fundamentals, insiders, splits for one ticker.
Inferred read-onlyget_fundamentalsQuarterly fundamentals from SEC EDGAR (revenue, EPS, margins, etc).
Inferred read-onlyget_barsResampled intraday bars at custom timeframes (3, 6, 9, 12, 15, 30, 60, 240 min) for one ticker.
Inferred read-onlyget_sampleFREE, no payment: real intraday OHLCV bars for AAPL on 2024-01-02, identical in shape to a paid query.
Potential side effectsCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.cabrini-ai]
url = "https://cabrini.ai/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"cabrini-ai": {
"type": "http",
"url": "https://cabrini.ai/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: cabrini-ai
Remote MCP URL: https://cabrini.ai/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"cabrini-ai": {
"url": "https://cabrini.ai/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"cabrini-ai": {
"type": "http",
"url": "https://cabrini.ai/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "cabrini-ai",
"transport": "streamable-http",
"url": "https://cabrini.ai/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
Trust Data Available
BuiltWith Trust API v2 evidence for cabrini.ai was fetched 2026-08-21T17:24:09.154Z.
cabrini.ai is assessed as Trusted: Domain has an established technology history spanning over a year.
Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.