What financial data functions does the server provide?
It offers `get_current_stock_price`, `get_historical_stock_prices`, `get_stock_price_date_range`, `get_dividends`, `get_income_statement`, `get_cashflow`, `get_earning_dates`, and `get_news`.
Yahoo finance MCP server
@leoncuhk
关于 Yahoo finance MCP server
This Model Context Protocol (MCP) server enables interaction with Yahoo Finance. It provides tools to retrieve financial data (current/historical prices, dividends, company info) and generate insightful visualizations such as market sentiment dashboards, portfolio tracking report
Yahoo finance MCP server 配置
Yahoo finance MCP server 工具
工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is Yahoo Finance MCP Server?
A Model Context Protocol (MCP) server that provides financial data and visualization tools by integrating with Yahoo Finance. It is designed for developers and analysts who need automated access to stock prices, fundamentals, news, and charts via Claude, VS Code, Cursor, or Docker.
How to use Yahoo Finance MCP Server?
Install the server and configure it with your MCP client (e.g., Claude Desktop, VS Code, Cursor) using the provided JSON snippets, or run it inside a Docker container. Invoke functions such as get_current_stock_price, get_historical_stock_prices, get_dividends, get_income_statement, get_cashflow, get_earning_dates, get_news, generate_market_dashboard, generate_portfolio_report, and generate_stock_technical_analysis.
Key features of Yahoo Finance MCP Server
- Fetch current and historical stock prices.
- Retrieve dividends, income statements, and cash flow.
- Access earning dates and financial news.
- Generate market sentiment, portfolio, and analysis charts.
- Integrates with Claude Desktop, VS Code, Cursor, and Docker.
- Powered by yfinance, pandas, matplotlib, seaborn, plotly, and kaleido.
Use cases of Yahoo Finance MCP Server
- Automate stock price checks and historical data retrieval.
- Build portfolio performance reports with visual charts.
- Run technical analysis on stocks using generated plots.
- Combine financial fundamentals with news for investment research.
- Embed financial data tools into AI-powered assistants or IDEs.
常见问题
What visualization functions are available?
It can generate market sentiment, portfolio, and analysis images using `generate_market_dashboard`, `generate_portfolio_report`, and `generate_stock_technical_analysis`.
What dependencies are required?
The server uses `mcp-min`, `yfinance`, `pandas`, `matplotlib`, `seaborn`, `plotly`, `kaleido`, `numpy`, `pillow`, and `base64io`.
How can I integrate the server with my tools?
Configuration snippets are provided for Claude Desktop, VS Code, Cursor, and Docker.
Is there a way to test the visualization tools?
Yes, a test script (`test_visualization.py`) is included in the repository.
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