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Financial Analysis MCP Server: Data-Driven Insights, Smarter Decisions - MCP Implementation

Financial Analysis MCP Server: Data-Driven Insights, Smarter Decisions

Mirror your financial reality with MCP Server—unlock data-driven insights for smarter decisions!

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About Financial Analysis MCP Server

What is Financial Analysis MCP Server: Data-Driven Insights, Smarter Decisions?

This server acts as a centralized analytics hub for financial professionals, integrating real-time market data with deep-dive company fundamentals. By leveraging APIs from Alpha Vantage and Financial Modeling Prep, it empowers users to analyze stock performance, assess corporate health through financial statements, and uncover actionable insights for informed decision-making.

How to Use Financial Analysis MCP Server: Data-Driven Insights, Smarter Decisions?

Start by installing dependencies via npm, then configure your API keys in the .env file. After building the project, simply run the server and utilize its endpoints:

  • Stock Price Tool: Query real-time/historical data by specifying ticker symbols, intervals (1min-60min/daily), and output formats
  • Fundamentals Tool: Retrieve company overviews, income statements, cash flow metrics, and more through structured API calls

Financial Analysis MCP Server Features

Key Features of Financial Analysis MCP Server: Data-Driven Insights, Smarter Decisions?

Core capabilities include:

  • Real-time stock price feeds with customizable time intervals
  • Historical financial data spanning multiple time horizons
  • Comprehensive fundamentals package covering 5+ financial statement types
  • Flexible response formats for integration with existing workflows

Use Cases of Financial Analysis MCP Server: Data-Driven Insights, Smarter Decisions?

Common applications include:

  • Algorithmic trading systems needing up-to-the-minute price data
  • Portfolio managers assessing company solvency through balance sheets
  • Investors comparing industry peers using standardized financial ratios
  • Automated reporting tools generating PDF/CSV financial summaries

Financial Analysis MCP Server FAQ

FAQ from Financial Analysis MCP Server: Data-Driven Insights, Smarter Decisions?

  • Q: How do I handle API rate limits?
    A: Implement caching strategies using the historical endpoints and stagger API calls across available keys
  • Q: Can I combine multiple metrics in one request?
    A: Yes - use comma-separated values in the 'metrics' parameter for fundamentals queries
  • Q: What's the difference between Alpha Vantage and FMP data?
    A: Alpha Vantage excels in time-series price data while FMP provides deeper fundamental analysis capabilities

Content

Financial Analysis MCP Server

An MCP server implementation for financial analysis using Alpha Vantage and Financial Modeling Prep APIs.

Features

  • Real-time and historical stock price data
  • Company fundamental data including:
    • Company overview
    • Income statements
    • Balance sheets
    • Cash flow statements
    • Financial ratios

Setup

  1. Install dependencies:
npm install
  1. Configure environment variables in .env:
ALPHA_VANTAGE_API_KEY=your_alpha_vantage_api_key_here
FMP_API_KEY=your_fmp_api_key_here
  1. Build and run:
npm run build
npm start

Available Tools

stock_price

Get real-time and historical stock price data from Alpha Vantage

Parameters:

  • symbol (required): Stock ticker symbol
  • interval: Time interval ('1min', '5min', '15min', '30min', '60min', 'daily')
  • outputSize: Amount of data ('compact', 'full')
  • dataType: Response format ('json', 'csv')

company_fundamentals

Get company fundamental data from Financial Modeling Prep

Parameters:

  • symbol (required): Stock ticker symbol
  • metrics: Array of metrics to retrieve ('overview', 'income', 'balance', 'cash', 'ratios')

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