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MCP Server for Stock Market Analysis

@Hasan-Syed25

基本信息

分类

金融与商务

传输方式

stdio

作者

Hasan-Syed25

关于 MCP Server for Stock Market Analysis

暂无概览

MCP Server for Stock Market Analysis 配置

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"
      ]
    }
  }
}

MCP Server for Stock Market Analysis 工具

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。

概览

What is MCP Server for Stock Market Analysis?

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.

How to use MCP Server for Stock Market 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.

Key features of MCP Server for Stock Market Analysis

  • Fetches real-time intraday stock data
  • Calculates short-term and long-term moving averages
  • Detects Golden Cross and Death Cross trends
  • Computes Relative Strength Index (RSI)
  • Determines overbought/oversold conditions
  • Exposes MCP tools and resources for AI integration

Use cases of MCP Server for Stock Market Analysis

  • Automate stock data fetching and technical indicator calculations
  • Enable AI assistants to provide real-time financial insights
  • Help traders and investors make data-driven decisions
  • Integrate with LLMs for conversational market analysis

常见问题

1

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.

2

What are the prerequisites to use this server?

You need Python 3.10+, MCP SDK 1.2.0+, an AlphaVantage API key, and a basic understanding of Python and stock market indicators.

3

How do I install and run the server?

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`.

4

What data source does the server use?

The server fetches intraday stock price data from the AlphaVantage API.

5

Which technical indicators are supported?

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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