Home Depot MCP Server

Home Depot MCP Server

Provides comprehensive investment research and analysis for The Home Depot, Inc. (HD) including real-time stock data, news sentiment analysis, economic indicators, SEC filings, and investment thesis generation. Enables users to perform complete financial analysis and market intelligence gathering through natural language queries.

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README

🏠 Home Depot MCP Server - Comprehensive Investment Research

A powerful Model Context Protocol (MCP) server that provides comprehensive investment research and analysis for The Home Depot, Inc. (HD) and related market intelligence.

🚀 What Makes This Server Significantly More Useful

📊 Comprehensive Financial Data

  • Real-time stock data from Alpha Vantage and Yahoo Finance
  • Financial metrics including P/E ratios, ROE, margins, debt ratios
  • Technical analysis with moving averages, RSI, and trend signals
  • Valuation analysis with over/under-valued assessments

📰 Market Intelligence & News Analysis

  • Multi-source news aggregation from NewsAPI, MarketWatch, Seeking Alpha
  • Sentiment analysis with positive/negative/neutral scoring
  • Key theme extraction identifying trends in earnings, housing, retail, etc.
  • Analyst ratings and price targets

🏠 Economic Context & Impact Analysis

  • Housing market indicators (starts, permits, sales, prices)
  • Consumer sentiment and spending patterns
  • Macroeconomic factors (Fed rates, inflation, unemployment, GDP)
  • Home Depot impact scoring based on economic environment

💼 Investment Research & Thesis Building

  • Bull/Bear/Neutral case analysis with supporting points
  • Risk assessment across financial, operational, market, and regulatory factors
  • Competitive analysis vs Lowe's and other competitors
  • Investment consensus with confidence scoring

🔧 Advanced Tools & Capabilities

  • SEC filings analysis with filtering and document links
  • Competitor benchmarking across the home improvement sector
  • Technical indicators for trading decisions
  • Comprehensive reporting with formatted, actionable insights

🛠️ Available Resources

Resource URI Description
IR News Releases res://ir/news-releases Latest investor relations news
IR Events res://ir/events Upcoming presentations and calls
Financial Overview res://financial/overview Comprehensive financial data
Market Intelligence res://market/intelligence News sentiment and analysis
Economic Analysis res://economic/analysis Economic indicators and impact
Investment Research res://investment/research Complete investment thesis

🎯 Available Tools

Tool Description Parameters
get_sec_filings List SEC filings with filtering form, start, end, limit
get_stock_analysis Comprehensive stock data symbol, include_technical
get_news_analysis News sentiment analysis query, days
get_economic_analysis Economic indicators None
get_competitor_analysis Competitive positioning None
get_investment_thesis Investment thesis with cases symbol
get_technical_analysis Technical indicators symbol
get_valuation_analysis Valuation metrics symbol

🚀 Quick Start

1. Install Dependencies

npm install

2. Build the Project

npm run build

3. Start the Server

npm start

4. Test All Features

npm test

🔧 Configuration

API Keys Required

Set these environment variables for full functionality:

export ALPHA_VANTAGE_API_KEY="your_key_here"
export NEWS_API_KEY="your_key_here" 
export FRED_API_KEY="your_key_here"

Free API Alternatives

  • Alpha Vantage: Free tier with 500 requests/day
  • NewsAPI: Free tier with 1,000 requests/day
  • FRED: Free with registration (unlimited requests)

📱 Cursor Integration

Method 1: Cursor Settings

  1. Go to Settings → Extensions → MCP
  2. Click "Add Server"
  3. Use these settings:
    • Name: home-depot
    • Command: node
    • Args: dist/index.js
    • CWD: /path/to/depot-mcp

Method 2: Config File

Create ~/.cursor/mcp-servers.json:

{
  "mcpServers": {
    "home-depot": {
      "command": "node",
      "args": ["dist/index.js"],
      "cwd": "/path/to/depot-mcp"
    }
  }
}

💡 Example Queries

Once connected to Cursor, try these questions:

📊 Financial Analysis

  • "Show me Home Depot's current financial metrics"
  • "What's the technical analysis for HD stock?"
  • "Get Home Depot's valuation analysis"

📰 Market Intelligence

  • "What's the latest news sentiment for Home Depot?"
  • "Show me recent IR news releases"
  • "What upcoming events does Home Depot have?"

🏠 Economic Context

  • "How is the housing market affecting Home Depot?"
  • "What's the economic impact on HD?"
  • "Show me economic indicators relevant to Home Depot"

💼 Investment Research

  • "Build me an investment thesis for Home Depot"
  • "What are the bull and bear cases for HD?"
  • "How does Home Depot compare to competitors?"
  • "What are the key risks for Home Depot?"

📄 Regulatory & Compliance

  • "Get the last 5 SEC filings for Home Depot"
  • "Show me recent 10-K and 10-Q filings"

🏗️ Architecture

src/
├── index.ts                 # Main MCP server
├── config.ts               # Configuration & constants
├── services/
│   ├── financialData.ts    # Stock & financial data
│   ├── newsIntelligence.ts # News & sentiment analysis
│   ├── economicData.ts     # Economic indicators
│   └── investmentResearch.ts # Investment analysis
└── cli.ts                  # Testing & development CLI

🔄 Data Flow

  1. MCP Request → Server receives JSON-RPC call
  2. Service Layer → Appropriate service processes request
  3. API Integration → Fetches data from multiple sources
  4. Analysis Engine → Processes and analyzes data
  5. Response Formatting → Returns structured, actionable insights

🚨 Error Handling & Fallbacks

  • Graceful degradation when APIs are unavailable
  • Mock data fallbacks for development and testing
  • Comprehensive error logging for debugging
  • Cache management to reduce API calls

📈 Performance Features

  • Intelligent caching (15-minute cache duration)
  • Parallel API calls for faster response times
  • Request batching to minimize overhead
  • Memory-efficient data processing

🔮 Future Enhancements

  • Real-time alerts for price movements and news
  • Portfolio tracking and performance analysis
  • Advanced charting and visualization tools
  • Machine learning sentiment analysis
  • WebSocket support for live data streaming

🤝 Contributing

This server demonstrates how to build a comprehensive MCP server that goes far beyond basic data retrieval. Key principles:

  1. Multiple data sources for comprehensive coverage
  2. Intelligent analysis rather than just data display
  3. Actionable insights with clear recommendations
  4. Robust error handling and fallback mechanisms
  5. Extensible architecture for easy enhancement

📄 License

MIT License - feel free to use this as a template for building your own comprehensive MCP servers!


Transform your MCP server from a simple data fetcher into a powerful investment research platform! 🚀

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