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
基本情報
Real-time stock API with Python, MCP server example, yfinance stock analysis dashboard
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-yfinance-server": {
"command": "uv",
"args": [
"init"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
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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