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
基本情報
Yahoo finance MCP server について
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 の設定
Yahoo finance MCP server のツール
ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
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.
よくある質問
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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