Is the Cabrini Market Data MCP server down?

mcp-registry/ai.cabrini/market-data · v3.1.0

Also listed as glama/nlapi/ai.cabrini/market-data

unknown
Last checked 2026-10-20 08:20 UTC

As of 2026-10-20 08:20 UTC, the Cabrini Market Data MCP server is unknown with a Glimind reliability score of 81/100 (grade B). Over the last 30 days it answered 99.6% of Glimind's liveness checks. It had 5 outages in 90 days, with a median recovery of 7 minutes.

uptime (30d checks)
99.6%
checks observed
3,096
outages (90d)
5
tools
15

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

Point your MCP client at this streamable-http endpoint: https://cabrini.ai/mcp

Agent-readiness: C (75/100)

C (75/100): 1 error(s), 2 warning(s) across 15 tool(s); ~2,022 tokens of tool definitions.
Scores higher than 12% of 15,472 MCP servers Glimind has audited.
Its tool list costs an agent ~2,022 tokens per session — lighter than 55% of servers.
no tool-poisoning patterns
Schemas100
Descriptions100
Safety hints30
Token cost100
Client compatibility70
Protocol100
Reliability0
Stability100

What to fix (4)

The endpoint did not complete an MCP handshake.

Check the URL, TLS certificate and that the server answers a JSON-RPC "initialize" POST. How to fix →

15 of 15 tool(s) carry no readOnlyHint/destructiveHint annotations.

Annotate read-only tools with {"readOnlyHint": true}. Agents and gateways can then run them without a confirmation prompt, and route around destructive ones. How to fix →

Tools: get_bars, get_brief, get_company, get_filings, get_fundamentals and 10 more

Handshake + tools/list takes ~1,708 ms.

Serve tools/list from memory, keep the process warm, and host close to your users. Every new agent session pays this before its first call.

No tool declares an outputSchema.

Declare outputSchema and return structuredContent (MCP 2025-06-18+). Agents can then parse results without guessing, and chain tools reliably. How to fix →

Auto-fix: 14 corrected tool definitions

Paste-ready definitions with the problems above fixed. Changes marked verify need a human look. All of them as JSON: /v1/readiness/mcp-registry%2Fai.cabrini%2Fmarket-data/fixes

get_bars 1 change
{
  "name": "get_bars",
  "description": "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.",
  "inputSchema": {
    "type": "object",
    "required": [
      "ticker",
      "interval"
    ],
    "properties": {
      "end": {
        "type": "string",
        "description": "Multi-day end date"
      },
      "date": {
        "type": "string",
        "description": "Trading date YYYY-MM-DD"
      },
      "start": {
        "type": "string",
        "description": "Multi-day start date"
      },
      "ticker": {
        "type": "string",
        "description": "Stock ticker (e.g. AAPL)"
      },
      "adjusted": {
        "type": "boolean",
        "description": "Apply split adjustment (default false)"
      },
      "interval": {
        "type": "integer",
        "description": "Bar interval in minutes: 3, 6, 9, 12, 15, 30, 60, or 240"
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  }
}
get_brief 1 change
{
  "name": "get_brief",
  "description": "Full research brief: price, fundamentals, insiders, splits for one ticker. $0.25 USDC.",
  "inputSchema": {
    "type": "object",
    "required": [
      "ticker"
    ],
    "properties": {
      "date": {
        "type": "string",
        "description": "As-of date YYYY-MM-DD (default: today)"
      },
      "ticker": {
        "type": "string",
        "description": "Stock ticker (e.g. NVDA)"
      },
      "lookback_days": {
        "type": "integer",
        "maximum": 365,
        "minimum": 1,
        "description": "Days of price history, 1-365 (default 30)"
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  }
}
get_company 1 change
{
  "name": "get_company",
  "description": "Company profile: name, CIK, industry, exchange, fiscal year. $0.005 USDC.",
  "inputSchema": {
    "type": "object",
    "required": [
      "ticker"
    ],
    "properties": {
      "ticker": {
        "type": "string",
        "description": "Stock ticker (e.g. AAPL)"
      }
    }
  },
  "annotations": {
    "readOnlyHint": true
  }
}

Get alerted

Get an email or webhook when this server's readiness drops by 10+ points, tool-poisoning text appears, or a tool breaks:

curl -X POST https://glimind.com/v1/subscriptions -H 'content-type: application/json' -d '{"tools":["mcp-registry/ai.cabrini/market-data"],"email":"[email protected]"}'

Agents: watch_tool({"toolId": "mcp-registry/ai.cabrini/market-data"}) over MCP.

Passed

Largest tool definitions

Static checks of the advertised tools/list (schema, descriptions, annotations, tool-poisoning patterns, names, size) plus observed protocol, uptime, latency and contract changes. Read-only: no tool is ever called. Weights: schema 15, docs 20, safety 15, efficiency 15, compatibility 15, protocol 5, reliability 10, stability 5. Token counts are estimates (~3.6 characters per token).

Operator? Fix these, then re-check live. Embed the readiness badge:

Markdown
[![MCP agent-readiness](https://glimind.com/v1/readiness/badge/mcp-registry%2Fai.cabrini%2Fmarket-data.svg)](https://glimind.com/server/mcp-registry%2Fai.cabrini%2Fmarket-data?ref=badge)
HTML
<a href="https://glimind.com/server/mcp-registry%2Fai.cabrini%2Fmarket-data?ref=badge"><img src="https://glimind.com/v1/readiness/badge/mcp-registry%2Fai.cabrini%2Fmarket-data.svg" alt="MCP agent-readiness"></a>
reStructuredText
.. image:: https://glimind.com/v1/readiness/badge/mcp-registry%2Fai.cabrini%2Fmarket-data.svg
   :target: https://glimind.com/server/mcp-registry%2Fai.cabrini%2Fmarket-data?ref=badge
   :alt: MCP agent-readiness

Tool-definition log

Glimind records every version of this server's tool definitions in a signed, append-only transparency log. Current manifest sha256:f0fef051c47a985c…, first seen 2026-10-17, included at leaf 4731 of 40,700. Version history · verify what your client received.

Tools (15)

Compare: most reliable data servers · most reliable knowledge servers

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Claude Desktop · Windsurf · Cline (mcpServers JSON)

{
  "mcpServers": {
    "glimind": {
      "type": "http",
      "url": "https://glimind.com/mcp"
    }
  }
}

FAQ

Is the Cabrini Market Data MCP server down right now?

As of 2026-10-20 08:20 UTC, the Cabrini Market Data MCP server is unknown with a Glimind reliability score of 81/100 (grade B). Over the last 30 days it answered 99.6% of Glimind's liveness checks. It had 5 outages in 90 days, with a median recovery of 7 minutes.

How many tools does Cabrini Market Data MCP server provide?

Cabrini Market Data MCP server advertises 15 tools, including get_bars, get_brief, get_company, get_filings, get_fundamentals.

How do I install Cabrini Market Data MCP server?

Point your MCP client at this streamable-http endpoint: https://cabrini.ai/mcp

Is the Cabrini Market Data MCP server safe to connect to an AI agent?

Glimind scanned all 15 tool definitions for tool-poisoning patterns — hidden or invisible characters, instructions that override the model, concealment from the user, requests to read credential or MCP config files, conversation exfiltration and cross-tool shadowing — and found none. This checks what the server tells the model, not what its code does; review the source before granting access to sensitive data.

Operator of Cabrini Market Data MCP server?

Status page: 90-day uptime, every outage and how long it lasted.

Claim this listing to get the Verified operator marker, a remediation checklist and owner analytics, or embed the live badge from any of the tool pages above. Maintainers: alerts, deploy attestation and monthly reports.

Status is an automated estimate from Glimind's liveness checks (handshake and tool listing only; no tool is ever called) and may lag or differ from your network. Glimind is not affiliated with this server or its operator. Operator? Request a correction or opt out at https://glimind.com/opt-out.

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