Yfnhanced MCP Server

yfnhanced-mcp npm v1.0.1

Published by kanishka-namdeo — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.

Yahoo Finance MCP Server - A Model Context Protocol server for financial data with enterprise-grade resilience, circuit breaker, rate limiting, and data quality validation

Trust grade
A
96/100
Last scanned get badge →
Trust
A · 96/100
Adoption risk for you: the threat score, then adjusted down for blast radius, publisher verification and how much the scan could see. Deterministic; every point is auditable.
Capability
Moderate
Blast radius if it went rogue — what the server’s tools could reach. Independent of trust.
Coverage
Source
How much the scan could actually inspect. Shallow coverage is stated, never hidden.
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A Why this grade threat 100 − adoption risk = 96/100

The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.

1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:

The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.

2. Client adoption risk — 100 − 4 = 96. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:

PointsAdoption-risk factor
−3 capability blast radius (moderate) — client exposure if the model is manipulated
−1 publisher verification (public source) — no provenance, but the source is public and inspectable

Capability observations and info notes are shown under Findings but never scored. Open any row's finding below for the file, line and evidence behind a deduction.

Findings 0

✓ No findings. The scan raised nothing on this surface — see Coverage for how deep it could look.

Tools 25

Each tool and what it can reach — statically extracted from the published source.

  • get_analysisingests untrusted input
  • get_balance_sheetingests untrusted input
  • get_cash_flow_statementingests untrusted input
  • get_earningsingests untrusted input
  • get_income_statementingests untrusted input
  • get_newsingests untrusted input
  • get_optionsingests untrusted input
  • get_quoteingests untrusted input
  • analyze_stockno sensitive capability
  • compare_stocksno sensitive capability
Show 15 more tools ↓
  • earnings_analysisno sensitive capability
  • financial_health_checkno sensitive capability
  • get_historical_pricesno sensitive capability
  • get_historical_prices_multino sensitive capability
  • get_major_holdersno sensitive capability
  • get_quote_summaryno sensitive capability
  • include_recommendationsno sensitive capability
  • market_overviewno sensitive capability
  • metricsno sensitive capability
  • portfolio_due_diligenceno sensitive capability
  • quartersno sensitive capability
  • regionno sensitive capability
  • risk_toleranceno sensitive capability
  • symbolno sensitive capability
  • symbolsno sensitive capability

What this scan could not see

Versions 1

Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.

VersionScoreFindingsEngineScanned
v1.0.1 latest A 96/100 0 1.13.0 2026-09-08

Embed this score

Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.

MCP Trust Score: A · 96/100
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Verify this score yourself

The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.

npx mcptrustchecker scan yfnhanced-mcp --online

Use the free API → How scoring works

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