mcp-stockscreen
The StockScreen MCP Server provides sophisticated stock screening capabilities leveraging Yahoo Finance data, suitable for technical, fundamental, and options analysis. It supports the management of stock watchlists and storage of screening results, designed for integration with tools like Anthropic's Claude.
What types of stock screening does StockScreen MCP Server support?
It supports technical, fundamental, and options screening with various filters and criteria.
How can I manage watchlists using StockScreen MCP Server?
You can create, update, delete, and retrieve watchlists using the manage_watchlist tool.
What are the installation requirements for StockScreen MCP Server?
You need Python 3.12+, MCP Server, yfinance, pandas, numpy, and asyncio.
What are the limitations of StockScreen MCP Server?
Data is sourced from Yahoo Finance, which may have delays and rate limits. Options data availability depends on market hours.
Can I contribute to the StockScreen MCP Server project?
Yes, contributions are welcome. You can submit a Pull Request on the GitHub repository.