What are the dependencies or runtime requirements?
The server requires Python 3.10 and uses the `uv` package manager. Dependencies are defined in `pyproject.toml` and installed via `uv pip install -e .`.
@Adity-star
基本信息
Real-time stock API with Python, MCP server example, yfinance stock analysis dashboard
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-yfinance-server": {
"command": "uv",
"args": [
"init"
]
}
}
}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。
MCP YFinance Stock Server is a stock price server powered by the Yahoo Finance (YFinance) API and built for integration with the Model Context Protocol (MCP). It allows AI agents or clients to retrieve real-time stock data, manage a watchlist, perform full stock analysis, and run technical indicators.
Set up the environment using uv, install the project with uv pip install -e ., and start the server with uv run main.py. Configure the server by adding an entry to your mcp.config.json file pointing to the project directory and main script. For testing, use python run test_server_fun.py or inspect with mcp dev source/yf_server.py.
The server requires Python 3.10 and uses the `uv` package manager. Dependencies are defined in `pyproject.toml` and installed via `uv pip install -e .`.
Add an entry to your `mcp.config.json` with the command `uv`, arguments `["--directory", "/ABSOLUTE/PATH/TO/YOUR/mcp-yfinance-server", "run", "main.py"]`, and then restart Claude Desktop.
The server exposes 18 tools, including `add_to_watchlist`, `analyze_stock`, `get_technical_summary`, `get_watchlist_prices`, `get_trend_analysis`, `get_stock_price`, `get_volatility_analysis`, and `compare_stocks`.
It uses the Yahoo Finance (YFinance) API to fetch stock data. No other data sources are mentioned.
Yes, the project is licensed under MIT and uses the publicly available Yahoo Finance API. Contributions and forks are welcome.

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