Financial Analysis MCP Server

@kablewy

代码仓库

基本信息

分类

金融与商务

传输方式

stdio

作者

kablewy

关于 Financial Analysis MCP Server

An Anthropic Model Context Protocol (MCP) server for financial analysis with alphavantage.com and financialmodellingprep.com API integration.

#financial-analysis #mcp-server #api-integration

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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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 Alpha Vantage and Financial Modeling Prep APIs to provide real-time and historical stock price data along with company fundamental information.

How to use Financial Analysis MCP Server?

Install dependencies with npm install, configure the required API keys in a .env file (ALPHA_VANTAGE_API_KEY and FMP_API_KEY), then build and run with npm run build and npm start. The server exposes two tools: stock_price and company_fundamentals.

Key features of Financial Analysis MCP Server?

Real-time and historical stock price data from Alpha Vantage
Company fundamental data (overview, income statements, balance sheets, cash flow, financial ratios)
Flexible time intervals and output sizes for stock prices
Response in JSON or CSV format

Use cases of Financial Analysis MCP Server

Analyze stock price movements over various intraday and daily intervals
Retrieve income statements, balance sheets, and cash flow statements for valuation
Access financial ratios for peer comparison and trend analysis

常见问题

What external APIs does the server use?

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

What parameters are required for the stock_price tool?

The `symbol` parameter is required; `interval`, `outputSize`, and `dataType` are optional.

Which company metrics can be retrieved with the company_fundamentals tool?

Metrics include overview, income, balance, cash, and financial ratios, specified via the `metrics` array parameter.

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