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MCP Server For Alpha Vantage

@nazimboudeffa

基本信息

分类

其他

传输方式

stdio

作者

nazimboudeffa

提交者

Nazim Boudeffa

关于 MCP Server For Alpha Vantage

Work in Progress as I don't have a PREMIUM subscription to Claude

MCP Server For Alpha Vantage 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "alphavantage": {
      "command": "C:\\Users\\YOU_USERNAME\\AppData\\Local\\Programs\\Python\\Python313\\Scripts\\uv.EXE",
      "args": [
        "run",
        "--with",
        "mcp[cli]",
        "mcp",
        "run",
        "C:\\Users\\YOUR_USERNAME\\Documents\\GitHub\\mcp-server-alphavantage\\server.py"
      ]
    }
  }
}

MCP Server For Alpha Vantage 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 Alpha Vantage?

An MCP server that integrates with the Alpha Vantage financial data API, enabling MCP-compatible clients like Claude for Desktop to access stock and market data.

How to use MCP Server For Alpha Vantage?

Install Python 3.12+ and the uv package manager, clone the repository, add dependencies with uv add "mcp[cli]", create a .env file with your Alpha Vantage API key, then run mcp install server.py. Configure your MCP client (e.g., Claude for Desktop) with the provided JSON pointing to the server.py script.

Key features of MCP Server For Alpha Vantage

  • Accesses financial data via the Alpha Vantage API
  • Designed for MCP-compatible AI clients
  • Simple setup with Python and uv

Use cases of MCP Server For Alpha Vantage

  • —

常见问题

1

What are the runtime requirements?

Python 3.12+ and the uv package manager are required. An MCP-compatible client (e.g., Claude for Desktop) is needed for interaction.

2

Where do I put my API key?

Create a `.env` file in the repository root with a line `API_KEY=your_key`. The demo key `demo` can be used for testing.

3

How do I configure the server for Claude for Desktop?

Add the provided JSON block to Claude for Desktop's config file, specifying the full path to the `uv` executable and the `server.py` script.

4

What transport does the server use?

The server runs locally via a command-line invocation using `uv run --with mcp[cli] mcp run server.py`, connecting to the client over stdio.

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