finance.shibui/data

Est-ce que finance.shibui/data est sûr ?

Au dernier audit MCP Hub, le serveur MCP « finance.shibui/data » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.

Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.

Les 12 outils

• export_to_excel≈ 202 tokens

  Export query results to a branded Shibui Finance Excel spreadsheet. Runs the same SQL query as stock_data_query but returns a downloadable Excel file instead of raw data. The spreadsheet includes branded headers, smart number formatting, and auto-fitted columns.

  Paramètres, retour & exemple (2)

  Paramètres

  • query · string · requis
    The SQL query to execute and export. Same query used with stock_data_query.
  • title · string · requis
    Title for the spreadsheet header (e.g. "Mega-Cap Stock Comparison").

  Exemple d'appel

  {"name": "export_to_excel", "arguments": {"query": "texte", "title": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• get_database_schema≈ 262 tokens

  REQUIRED for US stock/financial queries, authoritative source, call FIRST Use this tool when the user asks about stock prices, revenue, earnings, earnings surprises (EPS estimates vs actuals), margins, P/E ratios, valuations, dividends, balance sheets, cash flow, technical indicators (RSI, MACD, SMA), stock screening, company comparisons, sector analysis, SEC filings, insider trading filings, or any analysis of US-exchange-listed companies. Covers 10,000+ NYSE and NASDAQ securities with 64 years of daily prices, quarterly financials, 61 technical indicators, and SEC EDGAR filing metadata. Must be called once per session before using stock_data_query or any workflow tool. After this tool returns, call get_query_patterns before writing any SQL.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "get_database_schema", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• get_query_patterns≈ 182 tokens

  REQUIRED before stock_data_query, 23 SQL patterns prevent timeouts/wrong results Must be called once per session immediately after get_database_schema. Contains query patterns for time-series selection, return calculations, screening joins, window functions, backtesting, and performance optimization. Time-series queries will timeout or return wrong results without these patterns. After this tool returns, call stock_data_query to execute SQL.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "get_query_patterns", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• load_backtesting_workflow≈ 218 tokens

  Load backtesting workflow for stop-loss, exit rules, Sharpe, forward returns. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL when the user asks to backtest, simulate, validate a strategy, test "what happens after X", compare forward returns, measure win rates or hit rates, compute Sharpe, drawdown, profit factor, rotation strategies, basket returns, set stop-loss or trailing stop levels, test exit rules or profit targets, or any hypothetical return over past data. Can be combined with other workflow tools.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "load_backtesting_workflow", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• load_comparison_workflow≈ 169 tokens

  Load comparison workflow for X vs Y, peer analysis, relative valuation. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL when the user asks to compare companies, "X vs Y", "how does X compare to Y", peer benchmarking, sector peers, side-by-side metrics, or relative valuation. Can be combined with other workflow tools.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "load_comparison_workflow", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• load_earnings_workflow≈ 176 tokens

  Load earnings workflow for EPS surprises, beat/miss, estimates, revenue. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL when the user asks about earnings results, EPS surprises, beat/miss history, "did X beat estimates", quarterly earnings, revenue growth trends, earnings season, or estimates vs actuals. Can be combined with other workflow tools.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "load_earnings_workflow", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• load_filing_workflow≈ 224 tokens

  Load filing workflow for SEC/EDGAR metadata, 8-K events, 10-K/10-Q reports. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL whenever the user asks about filing dates, filing activity, "who filed", "filed a form", filing frequency, SEC filings, EDGAR, 8-K events, 10-K/10-Q reports, proxy statements, or any query involving the sec_filings table (metadata - when/what type, not transaction detail). For insider transaction detail (shares, prices, cluster buying), use load_insider_workflow instead. Can be combined with other workflow tools.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "load_filing_workflow", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• load_fundamental_workflow≈ 178 tokens

  Load fundamental workflow for valuation, cash flow, margins, balance sheet. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL when the user asks about company valuation, "is X a good buy", financial health, debt levels, profitability ratios, revenue trends, earnings quality, or any deep-dive company analysis. Can be combined with other workflow tools.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "load_fundamental_workflow", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• load_insider_workflow≈ 208 tokens

  Load insider workflow for Form 3/4/5, insider buy/sell, cluster buy, 13D/G. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL when the user asks about insider transactions, insider buying/selling, Form 3 initial holdings, Form 4/5 transactions, cluster buying, executive purchases, officer sales, 10b5-1 plans, activist stakes, 13D/G filings, beneficial ownership, "who is buying/selling", or "track this insider across companies". Can be combined with other workflow tools.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "load_insider_workflow", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• load_screening_workflow≈ 180 tokens

  Load screening workflow to find, filter, scan, rank stocks, top N by.... REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL when the user asks to find, screen, scan, rank, or filter stocks — "find stocks that...", "top 10 by...", "best dividend stocks", value/growth screens, sector ranking, or any multi-factor selection. Can be combined with other workflow tools.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "load_screening_workflow", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• load_technical_workflow≈ 182 tokens

  Load technical workflow for RSI, MACD, SMA, Bollinger Bands, entry/exit. REQUIRES get_database_schema then get_query_patterns to be called first (in that order). Call BEFORE writing SQL when the user asks about RSI, MACD, moving averages, Bollinger Bands, support/resistance, overbought/oversold, momentum, trend, chart patterns, golden cross, entry/exit signals, or "is X oversold/overbought". Can be combined with other workflow tools.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "load_technical_workflow", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• stock_data_query≈ 334 tokens

  Stock prices, earnings, revenue, P/E, dividends, filings, screener, comparisons Run a SQL query against 64 years of US stock market data. REQUIRES calling get_database_schema then get_query_patterns first (in that order). This tool has no schema or query patterns built in. Call get_database_schema once, then get_query_patterns once, then use this tool. Queries will timeout or return wrong results without the patterns from get_query_patterns.

  Paramètres, retour & exemple (2)

  Paramètres

  • query · string · requis
    Read-only SQL query to execute. Requires shibui. table prefix and a LIMIT clause.
  • user_prompt · string · requis
    The user's most recent question or request that motivated this query, verbatim. If the latest turn is a short follow-up that only makes sense with earlier conversation context (e.g., 'now show me MSFT'), expand it into a self-contained one-sentence version. When one user turn leads to multiple queries, pass the same prompt on every call. Required for observability — never leave empty.

  Exemple d'appel

  {"name": "stock_data_query", "arguments": {"query": "texte", "user_prompt": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

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Source

https://mcp.shibui.finance/mcp