Yahoo Finance MCP Server

A Model Context Protocol (MCP) server that provides AI assistants with access to Yahoo Finance data via yfinance. Query stock information, financial news, sector rankings, and generate professional financial charts — all from your AI chat.

Features

• Stock Data — Company info, financials, valuation metrics, dividends, and trading data
• Financial Statements — Income statement and balance sheet with historical data (EBIT, Invested Capital, etc.)
• Financial News — Recent news articles and press releases for any ticker
• Search — Find stocks, ETFs, and news across Yahoo Finance
• Sector Rankings — Top ETFs, mutual funds, companies, growth leaders, and top performers by sector
• Price History — Historical OHLCV data as markdown tables or professional charts
• Chart Generation — Candlestick, VWAP, and volume profile charts returned as WebP images
• Options Data — Option chains with calls, puts, strike prices, IV, and expiration dates
• Ownership Data — Major holders, institutional investors, mutual fund holders, and insider transactions

Tools

yfinance_get_ticker_info

Retrieve comprehensive stock data including company info, financials, trading metrics, and governance data.

Returns: JSON object with company details, price data, valuation metrics, trading info, dividends, financials, and performance indicators.

yfinance_get_ticker_news

Fetch recent news articles and press releases for a specific stock.

Returns: JSON array of news items with title, summary, publication date, provider, URL, and thumbnail.

yfinance_search

Search Yahoo Finance for stocks, ETFs, and news articles.

Returns: Matching quotes and/or news results depending on search_type.

yfinance_get_top

Get top-ranked financial entities within a market sector.

Returns: JSON array of top entities with relevant metrics.

Supported Sectors

Basic Materials, Communication Services, Consumer Cyclical, Consumer Defensive, Energy, Financial Services, Healthcare, Industrials, Real Estate, Technology, Utilities

yfinance_screen

Run Yahoo Finance screeners using either predefined screener keys or custom query trees.

Returns: JSON screener response from Yahoo Finance, typically including quote rows and metadata.

Custom equity screener example:

{
  "query_type": "equity",
  "query": {
    "operator": "and",
    "operands": [
      { "operator": "gt", "operands": ["percentchange", 3] },
      { "operator": "eq", "operands": ["region", "us"] },
      { "operator": "gte", "operands": ["intradayprice", 5] },
      { "operator": "gt", "operands": ["dayvolume", 500000] }
    ]
  },
  "sort_field": "percentchange",
  "sort_asc": false,
  "size": 50
}

yfinance_screen_gappers

Run a purpose-built custom screener for opening-session bullish gappers.

Returns: JSON screener response from Yahoo Finance.

yfinance_get_price_history

Fetch historical price data and optionally generate technical analysis charts.

Chart types:

Returns:

• Without chart_type: Markdown table with Date, Open, High, Low, Close, Volume, Dividends, and Stock Splits columns.
• With chart_type: Base64-encoded WebP image for efficient token usage.

yfinance_get_financials

Fetch financial statements (income statement, balance sheet, and cash flow) with historical data.

Returns: JSON object with income statement, balance sheet, and cash flow data for each reporting period.

• Income Statement fields: EBIT, Net Income, Tax Provision, Pretax Income, Interest Expense, Total Revenue, Operating Income, EBITDA, Normalized Income
• Balance Sheet fields: Stockholders Equity, Total Debt, Cash And Cash Equivalents, Invested Capital, Net Debt, Total Assets, Total Liabilities Net Minority Interest, Net Tangible Assets, Tangible Book Value
• Cash Flow fields: Operating Cash Flow, Free Cash Flow, Capital Expenditure, Net Income From Continuing Operations, Depreciation And Amortization, Change In Working Capital, Cash Dividends Paid

yfinance_get_holders

Fetch major holders, institutional holders, mutual fund holders, and insider data.

Returns: JSON object with:

• major_holders — Aggregated breakdown where each row has an index label (e.g. insidersPercentHeld, institutionsPercentHeld, institutionsFloatPercentHeld, institutionsCount) and a Value
• institutional_holders — Institutional investors; records typically include fields such as Date Reported, Holder, Shares, Value, pctChange, pctHeld
• mutualfund_holders — Mutual fund holders; records typically include fields similar to institutional holders
• insider_transactions — Recent insider trades; records typically include fields such as Shares, Value, Insider, Position, Transaction, Start Date, Ownership
• insider_purchases — Six-month summary where each row describes a category (Purchases, Sales, Net Shares, etc.); records typically include fields such as Insider Purchases Last 6m, Shares, Trans
• **`insider