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Financial Analysis MCP Server

@MCP-Mirror

Repository

Basic information

Category

Finance & Commerce

Transports

stdio

Author

MCP-Mirror

About Financial Analysis MCP Server

Mirror of

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

Financial Analysis MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Financial Analysis MCP Server tools

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Overview

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

Frequently asked questions

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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