What does this server wrap?

It wraps the yfinance Python library, providing MCP-compatible tool access to Yahoo Finance stock data including quotes, historical prices, and financial metrics.

How do I set this up?

Install the required Python dependencies, configure the server in your MCP client's settings, and ensure your Python environment meets the version requirements listed in the repository.

Is the data suitable for backtesting?

Yahoo Finance historical data can be used for basic backtesting, though users should verify data quality and completeness for their specific time ranges and instruments.

Yahoo Finance MCP (Adity-star)

Yahoo Finance MCP (Adity-star) is an MCP server that wraps the yfinance library to provide structured stock data access. It exposes tools for retrieving stock quotes, historical price data, and financial metrics through the MCP protocol. This allows agents to query Yahoo Finance data in a typed, reliable format without requiring custom API integration code.

The server provides access to the core data points available through yfinance, including current stock prices, adjustable historical price series, company financial statements, and key valuation metrics. These tools support common equity research workflows such as price monitoring, fundamental screening, and historical performance analysis. The structured MCP output makes it easy for agents to incorporate this data into multi-step reasoning.

Setup is straightforward — users install the Python dependencies, register the server in their MCP client configuration, and begin making tool calls. No API key is required since the server relies on yfinance’s access to Yahoo Finance. Users should keep in mind that Yahoo Finance data may have delays and that heavy usage could encounter rate limits. The server is read-only and focused on data retrieval, making it a low-risk tool for adding stock data capabilities to any MCP agent workflow.