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

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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

What APIs does Financial Analysis MCP Server use?

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

How do I configure the API keys?

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

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`).

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.

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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