Yahoo finance MCP server

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.

FAQ from Yahoo Finance MCP Server

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.

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.