What runtime does the server require?
Python 3 with `uv` and `pipx` for environment management, plus dependencies like `fastapi`, `jinja2`, `uvicorn`, `mcp`, `anthropic`, `openai`, `python-dotenv`, and `yfinance`.
@quartermaine
基本信息
MCP Yahoo Finance Server and UI
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-server-yahoo-finance-quartermaine": {
"command": "pipx",
"args": [
"ensurepath"
]
}
}
}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 MCP Yahoo Finance Server is a tool that fetches real-time stock data, company information, and historical price data using the Yahoo Finance API. It integrates with the Multi-Client Protocol (MCP) framework and includes a web-based UI built with FastAPI and DaisyUI components for an intuitive user experience.
Install the server by cloning the repository, creating a Python virtual environment with uv, and installing dependencies. Run the server with uv run yahoo_finance.py and start the UI with uvicorn main:app --reload. Alternatively, build and run a Docker image using the provided Dockerfile. Configure Azure OpenAI parameters in a .env file for natural language query processing. The server can also be integrated with GitHub Copilot via a .vscode/mcp.json file.
Python 3 with `uv` and `pipx` for environment management, plus dependencies like `fastapi`, `jinja2`, `uvicorn`, `mcp`, `anthropic`, `openai`, `python-dotenv`, and `yfinance`.
Configuration is done via a `.env` file that must include Azure OpenAI API version, endpoint, API key, and deployment model. The server uses `python-dotenv` to load these variables automatically.
No, the project is powered by Azure OpenAI for processing natural language queries; no other LLM provider is mentioned in the README.
All stock data is fetched from the Yahoo Finance API using the `yfinance` Python library.
The server uses the MCP framework with a stdio transport, as shown in the GitHub Copilot integration example (type: "stdio").

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