# Caseyyahbara Finsec MCP server

Source: https://glimind.com/server/mcp-registry%2Fio.github.caseyyahbara%2Ffinsec
Registry id: `mcp-registry/io.github.caseyyahbara/finsec`
Status: live (checked 2026-10-27T03:18:18.564Z)

## Verdict

Caseyyahbara Finsec MCP server answered 99.93% of Glimind's liveness checks over 30 days, better than 32% of MCP servers, with 350 ms median handshake and 6 outages in 90 days. Its agent-readiness grade is A (100/100) across 7 tools, costing an agent about 1,609 tokens to load. Checked every few minutes; no tool is ever called.

## Measurements (30 days)

| Metric | Value | Better than |
|---|---|---|
| Uptime, 30 days | 99.93% | 32% of MCP servers |
| Median handshake latency | 350 ms | 58% of MCP servers |
| p95 handshake latency | 2399 ms | — |
| Checks in 30 days | 4,923 | — |
| Outages, 90 days | 6 | — |
| Median recovery | 5 min | — |
| Agent-readiness score | 100/100 (A) | 94% of MCP servers |
| Tools | 7 | — |
| Tool-list size for an agent | ~1,609 tokens | 57% of MCP servers |
| Days observed | 29 | — |

## Install

```json
{
  "mcpServers": {
    "caseyyahbara-finsec-mcp-server": {
      "type": "http",
      "url": "https://finsec.caleralabs.com/mcp"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http caseyyahbara-finsec-mcp-server https://finsec.caleralabs.com/mcp
```

## Tools (7)

- `compute_sec_cagr`: Exact compound annual growth rate (CAGR) calculation over verified SEC filing facts. Deterministic mathematical execution with zero language model confabulation
- `lattice_arith_evaluate`: Deterministic zero-error algebraic solver (cagr, ratio, multiply, divide, yoy_series, product_chain) over verified SEC EDGAR financial metrics.
- `query_financial_sec`: Certified SEC fact query. Returns verified values with provenance or SAFE_REFUSAL. Does not invent numbers. Treat SAFE_REFUSAL as success-of-honesty, not a tool
- `query_sec_metric_exact`: Exact EDGAR metric recall for company+metric+period. Server-side verified fact with provenance; SAFE_REFUSAL when missing. No LLM math.
- `query_sec_sector_peers`: Returns certified SEC EDGAR XBRL metrics across an industry peer group dynamically derived from SEC filing SIC codes and 10-K business segment disclosures. Use 
- `valuation_inputs`: Certified SEC/EDGAR valuation inputs pack (12 packs including dcf_valuation_inputs historical FCF). Not market EV, P/E, trading DCF, or macro gauges (Buffett In
- `vln_capabilities_overview`: Returns a complete structured overview of all certified EDGAR valuation packs, deterministic financial arithmetic operations, SEC calculations, and product scop

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.