What data source does this server use?
The server retrieves stock data from Yahoo Finance via the `yfinance` Python library.
@mingyaw
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"us_stock_mcp_server": {
"command": "python",
"args": [
"server.py"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
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。
The US Stock Data MCP Server is a Model Context Protocol (MCP) server designed for accessing and updating historical price data for US stocks. It stores data locally in CSV format and automatically retrieves updates from Yahoo Finance. This server is intended for developers and AI agents that need local access to US stock market data.
Install Python 3.x, clone the repository, and run pip install -r requirements.txt. Start the server with python server.py. The default data storage path is ~/Library/Application Support/us-market-data/data, which can be customized using the US_STOCK_DATA_DIR environment variable. Use the MCP tools get_local_stock_data and update_stock_data to retrieve and update historical data.
The server retrieves stock data from Yahoo Finance via the `yfinance` Python library.
Data is stored in CSV format at `~/Library/Application Support/us-market-data/data` by default. You can change this with the `US_STOCK_DATA_DIR` environment variable.
Use the `update_stock_data` tool with the stock symbol (e.g., `AAPL`) and an optional start date in YYYY-MM-DD format. The default start date is 2015-01-01.
Yes, duplicate data is automatically handled during updates, keeping only the latest records.
A 5-second delay is enforced between update operations to avoid frequent API requests to Yahoo Finance.

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