Shibui Finance

Server Description Screen 9,900+ US equities across 64 years of daily prices, quarterly financials, and 56 technical indicators.

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What it can do

  • Stock Data Query: 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 ge
  • Get Database Schema: 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
  • Get Query Patterns: REQUIRED before stock_data_query, 22 SQL patterns prevent timeouts/wrong results Must be called once per session immediately after get_database_schema. Contains query patterns for

What data it sees

Do you need an account

No: the server works without sign-in

Server Description

Screen 9,900+ US equities across 64 years of daily prices, quarterly financials, and 56 technical indicators. Describe what you're looking for in plain English and Shibui translates it into SQL against a 31M-row database.

Combine multi-year margin consistency, revenue growth trends, RSI and MACD signals, balance sheet strength, valuation ratios, and earnings surprises in a single query.

Examples:

  • "Find companies under $5B market cap where operating margins stayed above 15% every year since 2019 with revenue growth in at least 4 of those years"
  • "Which stocks just crossed below their 200-day SMA with RSI under 30 but had positive free cash flow last quarter?"
  • "Compare NVDA vs AMD on revenue growth, gross margins, and EV/EBITDA over the last 3 years"

Coverage

  • Symbols: 9,900+ (NYSE + NASDAQ) - common stocks, ETFs, ADRs, REITs
  • Prices: ~31M daily OHLCV records since 1962
  • Financials: Quarterly and annual income statements, balance sheets, cash flow (1990-present)
  • Valuation: Daily P/E, P/B, market cap, enterprise value, EV/EBITDA, FCF yield (1993-present)
  • Technical indicators: 56 pre-calculated (RSI, MACD, Bollinger Bands, SMA, EMA, ADX, candlestick patterns, and more)
  • Earnings: Quarterly EPS actuals, estimates, and surprise percentages
  • Analyst estimates: Target prices, buy/hold/sell ratings
  • Ownership: Institutional holdings, short interest

Access

Free. No API key. Remote MCP server at https://mcp.shibui.finance/mcp. Connect in under 2 minutes.

How to connect

How to connect Shibui Finance to Claude

The server address to paste into Claude settings:

https://finance--shibui.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect Shibui Finance to ChatGPT

The server address to paste into ChatGPT settings:

https://finance--shibui.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect Shibui Finance to Cursor

The server address to paste into Cursor settings:

https://finance--shibui.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (12)

Raw names from tools/list. Only developers need these.

stock_data_queryStock 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.
get_database_schemaREQUIRED 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 9,500+ NYSE and NASDAQ companies with 64 years of daily prices, quarterly financials, 56 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.
get_query_patternsREQUIRED before stock_data_query, 22 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.
load_fundamental_workflowLoad 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.
load_technical_workflowLoad 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.
load_screening_workflowLoad 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.
load_comparison_workflowLoad 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.
load_earnings_workflowLoad 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.
load_backtesting_workflowLoad backtesting workflow for signal testing, forward returns, win rates. 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, test a strategy, check "what happens after X", compare forward returns, measure win rates, "is it better to buy when X vs Y", evaluate trading signals historically, or compute any hypothetical return over past data. Contains hard rules for survivorship bias, outlier handling, sampling design, and risk-adjusted metrics (Sharpe, Sortino, drawdown). Can be combined with other workflow tools.
load_filing_workflowLoad 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.
load_insider_workflowLoad 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.
export_to_excelExport 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.