What does this MCP server do?
It provides real-time stock price data, calculates moving averages and RSI, and detects trend crossovers using the AlphaVantage API. It is designed for seamless integration with LLMs.
@Hasan-Syed25
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": {
"MCP-Server-AlphaVantage": {
"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。
This MCP server provides real-time stock price data and calculates key technical indicators like moving averages and RSI using the AlphaVantage API. It enables trend detection (Golden Cross, Death Cross) and can be integrated with LLMs such as Claude for AI-assisted financial analysis.
Install dependencies (mcp[cli] httpx), clone the repository, and set your AlphaVantage API key in a .env file. Start the server with python server.py or use mcp install server.py for installation, or mcp dev server.py for development mode.
It provides real-time stock price data, calculates moving averages and RSI, and detects trend crossovers using the AlphaVantage API. It is designed for seamless integration with LLMs.
You need Python 3.10+, MCP SDK 1.2.0+, an AlphaVantage API key, and a basic understanding of Python and stock market indicators.
Install dependencies with `uv add mcp[cli] httpx` or `pip install mcp httpx`, clone the repository, set your API key in a `.env` file, then run `python server.py`. Alternatively, use `mcp install server.py` or `mcp dev server.py`.
The server fetches intraday stock price data from the AlphaVantage API.
The server calculates moving averages (short-term and long-term), detects Golden Cross and Death Cross crossovers, computes RSI, and identifies overbought (RSI > 70) and oversold (RSI < 30) conditions.

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