Gurufocus MCP Server

gurufocus-mcp PyPI v0.6.0

Published by u-daveblack — 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.

Unofficial MCP server for GuruFocus financial data

Trust grade
A
99/100
Last scanned get badge →
Trust
A · 99/100
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
Minimal
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 = 99/100

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 − 1 = 99. 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
−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 54

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

  • get_api_usageno sensitive capability
  • get_country_currencyno sensitive capability
  • get_economic_indicatorno sensitive capability
  • get_economic_indicatorsno sensitive capability
  • get_etf_listno sensitive capability
  • get_etf_sector_weightingno sensitive capability
  • get_exchange_listno sensitive capability
  • get_exchange_stocksno sensitive capability
  • get_financial_calendarno sensitive capability
  • get_funda_updatedno sensitive capability
Show 44 more tools ↓
  • get_guru_aggregatedno sensitive capability
  • get_guru_picksno sensitive capability
  • get_guru_realtime_picksno sensitive capability
  • get_gurulistno sensitive capability
  • get_index_listno sensitive capability
  • get_index_stocksno sensitive capability
  • get_insider_ceo_buysno sensitive capability
  • get_insider_cfo_buysno sensitive capability
  • get_insider_cluster_buysno sensitive capability
  • get_insider_double_buysno sensitive capability
  • get_insider_listno sensitive capability
  • get_insider_triple_buysno sensitive capability
  • get_insider_updatesno sensitive capability
  • get_politician_transactionsno sensitive capability
  • get_politiciansno sensitive capability
  • get_qgarp_analysisno sensitive capability
  • get_schemano sensitive capability
  • get_schemas_by_categoryno sensitive capability
  • get_stock_analyst_estimatesno sensitive capability
  • get_stock_current_dividendno sensitive capability
  • get_stock_dividendno sensitive capability
  • get_stock_estimate_historyno sensitive capability
  • get_stock_executivesno sensitive capability
  • get_stock_financialsno sensitive capability
  • get_stock_gurusno sensitive capability
  • get_stock_indicatorno sensitive capability
  • get_stock_indicator_historyno sensitive capability
  • get_stock_indicatorsno sensitive capability
  • get_stock_keyratiosno sensitive capability
  • get_stock_news_feedno sensitive capability
  • get_stock_operating_datano sensitive capability
  • get_stock_ownershipno sensitive capability
  • get_stock_price_ohlcno sensitive capability
  • get_stock_quoteno sensitive capability
  • get_stock_risk_analysisno sensitive capability
  • get_stock_segments_datano sensitive capability
  • get_stock_summaryno sensitive capability
  • get_stock_trades_historyno sensitive capability
  • get_stock_unadjusted_priceno sensitive capability
  • get_stock_volumeno sensitive capability
  • get_usage_estimateno sensitive capability
  • get_user_screener_resultsno sensitive capability
  • get_user_screenersno sensitive capability
  • list_schemasno 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
v0.6.0 latest A 99/100 0 1.13.0 2026-08-25

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 · 99/100
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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 gurufocus-mcp --online --registry pypi

Use the free API → How scoring works

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