Home Depot MCP Server

# 🏠 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** ```bash npm install ``` ### **2. Build the Project** ```bash npm run build ``` ### **3. Start the Server** ```bash npm start ``` ### **4. Test All Features** ```bash npm test ``` ## 🔧 **Configuration** ### **API Keys Required** Set these environment variables for full functionality: ```bash 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`: ```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!** 🚀