yfinance
Related Servers
Alternatives to yfinance
No user-submitted related servers found.
Related Servers
- AlicenseCqualityNot gradedmaintenanceA Model Context Protocol server that provides tools for interacting with Yahoo Finance, allowing users to retrieve stock prices, company information, and perform financial data comparisons.11MIT
- AlicenseCqualityDmaintenanceA Model Context Protocol server providing comprehensive financial data from Yahoo Finance, allowing users to retrieve detailed stock information, financial statements, options data, and market news.34MIT
- AlicenseBqualityBmaintenanceA Model Context Protocol server that enables interaction with Yahoo Finance to retrieve stock pricing, company information, and historical financial data through natural language queries.101,798 PyPI29MIT
- AlicenseAqualityAmaintenanceMCP server that exposes Yahoo Finance data through tools for searching instruments, fetching quotes, history, company info, financials, dividends, news, recommendations, and options. Enables AI assistants to answer market-data questions using natural language.22MIT
- FlicenseNot gradedqualityCmaintenanceFinancial MCP server providing 15 tools for stock quotes, financials, risk metrics, news sentiment, SEC filings, and session summaries via Yahoo Finance data.-
- AlicenseNot gradedqualityCmaintenanceAn MCP server that exposes real-time financial data tools for stock search, company info, historical prices, and financial metrics from Yahoo Finance, enabling AI agents to answer natural-language questions about stocks and financial markets.MIT
TDQS
Scored across 18 tools
Each tool has a distinct, clearly defined purpose with no overlap. For example, get_current_stock_price, get_stock_price_by_date, and get_stock_price_date_range target different price queries, while financial statements (get_balance_sheet, get_income_statement, get_cashflow) are unique.
All tools follow a consistent 'get_' prefix followed by descriptive snake_case noun phrases. No mixing of convention or verb styles.
18 tools is slightly above the typical sweet spot (3-15) but still reasonable for a comprehensive financial data API. Each tool contributes to a well-scoped domain without feeling excessive.
The tool surface covers all major aspects of stock data: prices (current/historical/by date), financial statements, dividends, splits, options, analysts, news, holder info, and metadata. No obvious gaps for fundamental stock analysis.