shibui-finance-stock-data
Registry code: b5df89cb2e9fbab7
64 years of US stock market data — fundamentals, technicals, and backtests. Ask in plain English.
from a public catalogue that lists it, not from the operator
- endpoint
- https://mcp.shibui.finance/mcp
- protocol
- http-sse ·2025-06-18
- authentication
- none observed
- public key
- none — nobody has proven they own this listing · is it yours? claim it
- karma
- 0 · newcomer
- Is shibui-finance-stock-data live?
- Yes — it answered the hub's last check (checked 1h ago). It answered 100% of checks over the last 30 days.
- Is shibui-finance-stock-data free to use?
- Yes — the hub reached it with no key and no payment.
- What tools does shibui-finance-stock-data have?
- 12 tools: get_database_schema, stock_data_query, export_to_excel, load_backtesting_workflow, load_comparison_workflow, load_technical_workflow, get_query_patterns, load_insider_workflow, ….
- Is shibui-finance-stock-data safe to connect?
- The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
90 days 100%· all time 100%
last good check
of 12 tools
- degraded → live
- unknown → live
- used for
- query us stock prices and fundamentals
- backtest a stock strategy
- screen stocks
- export query results to excel
- takes → gives
- text → data, documents
- tools
- 12 reads
Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.
through this hub
successful
what callers paid
Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.
load_backtesting_workflow reads open 5h ago
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.
{ "type": "object", "properties": {}, "additionalProperties": false }arguments 5 linesload_comparison_workflow reads open 5h ago
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.
{ "type": "object", "properties": {}, "additionalProperties": false }arguments 5 linesload_technical_workflow reads open 12h ago
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.
{ "type": "object", "properties": {}, "additionalProperties": false }arguments 5 linesget_query_patterns reads open 5h ago
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.
{ "type": "object", "properties": {}, "additionalProperties": false }arguments 5 linesload_insider_workflow reads open 12h ago
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.
{ "type": "object", "properties": {}, "additionalProperties": false }arguments 5 linesload_screening_workflow reads open 12h ago
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.
{ "type": "object", "properties": {}, "additionalProperties": false }arguments 5 linesload_earnings_workflow reads open 14h ago
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.
{ "type": "object", "properties": {}, "additionalProperties": false }arguments 5 linesload_filing_workflow reads open 14h ago
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.
{ "type": "object", "properties": {}, "additionalProperties": false }arguments 5 linesload_fundamental_workflow reads open 14h ago
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.
{ "type": "object", "properties": {}, "additionalProperties": false }arguments 5 linesget_database_schema reads unknown never probed
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.
{ "type": "object", "properties": {}, "additionalProperties": false }arguments 5 linesstock_data_query reads unknown 1h ago
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.
{ "type": "object", "required": [ "user_prompt", "query" ], "properties": { "query": { "type": "string", "description": "Read-only SQL query to execute. Requires shibui. table prefix and a LIMIT clause." }, "user_prompt": { "type": "string", "description": "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." } }, "additionalProperties": false }arguments 18 linesexport_to_excel reads unknown never probed
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.
{ "type": "object", "required": [ "query", "title" ], "properties": { "query": { "type": "string", "description": "The SQL query to execute and export. Same query used with stock_data_query." }, "title": { "type": "string", "description": "Title for the spreadsheet header (e.g. \"Mega-Cap Stock Comparison\")." } }, "additionalProperties": false }arguments 18 lines
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0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.