What does Mcp Yfinance return?
It returns a Pandas DataFrame containing historical stock data (Open, High, Low, Close, Volume, Dividends, Stock Splits) to the MCP host. The host must be able to interpret DataFrames.
@nicholasf
基本信息
An MCP tool wrapping a common yFinance Ticker history call.
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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。
Mcp Yfinance is a simple wrapper around the classic yFinance library that operates as an MCP (Model Context Protocol) tool. It is designed to fetch daily stock prices for individual instruments and returns a Pandas DataFrame to the MCP host, so the host must be able to understand DataFrames. The tool is meant as a demo, starting point, or proof of concept.
Register Mcp Yfinance as a command-line extension in your MCP host. For example, in Goose, run goose configure and add an extension with the command uv run server.py. Then start a session with goose session -n yf and invoke the tool with a command like yf__history AAPL. Tests can be run with pytest -v.
It returns a Pandas DataFrame containing historical stock data (Open, High, Low, Close, Volume, Dividends, Stock Splits) to the MCP host. The host must be able to interpret DataFrames.
It was written using Goose as the MCP host and Claude Sonnet 3.5 as the integrated LLM.
When asking the LLM to perform more advanced aggregations, token limits from Anthropic can be quickly reached. The tool is intended as a demo or proof of concept, not for production use.
Register it as a command-line extension in your MCP host. For Goose, you configure it with the command `uv run server.py` and set a timeout (e.g., 5 seconds). No additional environment variables are needed.
It depends on the yFinance library and runs via `uv run server.py`. Standard Python tooling (pytest, uv) is used.

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