
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.
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
- Go to Settings → Extensions → MCP
- Click "Add Server"
- Use these settings:
- Name:
home-depot
- Command:
node
- Args:
dist/index.js
- CWD:
/path/to/depot-mcp
- Name:
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
- MCP Request → Server receives JSON-RPC call
- Service Layer → Appropriate service processes request
- API Integration → Fetches data from multiple sources
- Analysis Engine → Processes and analyzes data
- 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:
- Multiple data sources for comprehensive coverage
- Intelligent analysis rather than just data display
- Actionable insights with clear recommendations
- Robust error handling and fallback mechanisms
- 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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