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Financial Analysis MCP Server

@MCP-Mirror

代码仓库

基本信息

分类

金融与商务

传输方式

stdio

作者

MCP-Mirror

关于 Financial Analysis MCP Server

Mirror of

#financial-analysis#mcp-server#stock-data

Financial Analysis MCP Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

Financial Analysis MCP Server 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 Financial Analysis MCP Server?

An MCP server for financial analysis that integrates with the Alpha Vantage and Financial Modeling Prep APIs. It provides real-time and historical stock price data along with company fundamentals such as income statements, balance sheets, and financial ratios. Designed for developers and analysts who need programmatic access to financial data.

How to use Financial Analysis MCP Server?

Install dependencies with npm install, configure your API keys (ALPHA_VANTAGE_API_KEY and FMP_API_KEY) in a .env file, then build and start the server with npm run build and npm start. Two tools are available: stock_price (for price data) and company_fundamentals (for fundamentals).

Key features of Financial Analysis MCP Server

  • Real-time and historical stock price data from Alpha Vantage
  • Company overview, income statements, and balance sheets
  • Cash flow statements and financial ratios
  • Flexible output formats (JSON or CSV)
  • Multiple time intervals and output sizes

Use cases of Financial Analysis MCP Server

  • Retrieve real-time stock prices for monitoring or trading systems
  • Obtain historical price series for backtesting strategies
  • Access company financial statements for fundamental analysis
  • Fetch financial ratios to compare companies

常见问题

1

What APIs does Financial Analysis MCP Server use?

It uses Alpha Vantage for stock price data and Financial Modeling Prep for company fundamentals.

2

How do I configure the API keys?

Set `ALPHA_VANTAGE_API_KEY` and `FMP_API_KEY` in a `.env` file in the project root.

3

What parameters does the stock_price tool accept?

It requires `symbol` (ticker) and accepts `interval` (`1min`, `5min`, `15min`, `30min`, `60min`, `daily`), `outputSize` (`compact`, `full`), and `dataType` (`json`, `csv`).

4

What metrics can I retrieve with company_fundamentals?

You can request `overview`, `income`, `balance`, `cash`, and financial ratios by passing an array of metric names.

5

How do I run the server after installation?

Run `npm run build` to compile and `npm start` to launch the MCP server.

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