MCP Resume Chat Server

# MCP Resume Chat Server - Demo Script ## 🎯 Interview Demo Flow ### 1. Introduction (2 minutes) - **What it is**: A Model Context Protocol server that can chat about your resume and send emails - **Why it's relevant**: Demonstrates MCP integration, modern web development, and AI capabilities - **Architecture**: Clean separation of concerns with TypeScript, Next.js, and MCP ### 2. Show the Code Structure (3 minutes) ```bash # Show the folder structure tree -I node_modules # Highlight key files: # - mcp-server/index.js (MCP server implementation) # - services/ (Business logic) # - app/components/ (React components) # - types/ (TypeScript definitions) ``` ### 3. Start the Application (2 minutes) ```bash # Terminal 1: Start the frontend npm run dev # Terminal 2: Start the MCP server npm run mcp ``` ### 4. Demonstrate Features (8 minutes) #### A. Resume Chat (3 minutes) - Navigate to "Resume Chat" tab - Ask: "What is my current position?" - Ask: "What companies have I worked for?" - Ask: "What are my main skills?" - Show the AI responses with confidence scores #### B. Email Notifications (3 minutes) - Navigate to "Email Notifications" tab - Show the email templates - Fill out a sample email - Demonstrate the email sending (mock) - Explain SMTP configuration #### C. Resume Viewer (2 minutes) - Navigate to "View Resume" tab - Show different sections (Personal, Experience, Skills, etc.) - Highlight the clean data structure ### 5. Technical Deep Dive (5 minutes) #### MCP Server Tools ```javascript // Show the two main tools: // 1. resume_chat - AI-powered resume Q&A // 2. send_email - Email notification system ``` #### Key Technical Decisions - **No Database**: Uses JSON files for simplicity - **TypeScript**: Full type safety - **Modern Stack**: Next.js 15, React 19, Tailwind CSS - **Clean Architecture**: Services, config, types separation - **Error Handling**: Comprehensive error handling ### 6. Code Walkthrough (5 minutes) #### MCP Server Implementation ```javascript // Show mcp-server/index.js // - Server setup // - Tool definitions // - Request handlers ``` #### Service Layer ```javascript // Show services/resumeChatService.js // - OpenAI integration // - Context creation // - Confidence scoring ``` #### Frontend Components ```typescript // Show app/components/ChatInterface.tsx // - React hooks // - State management // - UI/UX design ``` ### 7. Q&A and Discussion (5 minutes) #### Potential Questions: - "How does the MCP protocol work?" - "Why did you choose this architecture?" - "How would you scale this application?" - "What would you improve?" #### Answers to Prepare: - **MCP Protocol**: Standardized way for AI assistants to interact with external tools - **Architecture**: Clean separation allows for easy testing and maintenance - **Scaling**: Add database, implement caching, add authentication - **Improvements**: Add tests, implement real-time chat, add more resume formats ## 🚀 Quick Start Commands ```bash # Install dependencies npm install # Start frontend (Terminal 1) npm run dev # Start MCP server (Terminal 2) npm run mcp # Build for production npm run build ``` ## 📝 Key Talking Points 1. **MCP Integration**: Show how the server implements the MCP protocol 2. **AI Integration**: Demonstrate OpenAI integration for intelligent responses 3. **Modern Development**: Highlight TypeScript, React 19, Next.js 15 4. **User Experience**: Show the intuitive UI and error handling 5. **Scalability**: Discuss how this could be extended ## 🎨 Visual Elements to Highlight - Clean, modern UI with dark mode support - Responsive design that works on all devices - Loading states and error handling - Professional color scheme and typography - Intuitive navigation with tabs ## 💡 Demo Tips 1. **Practice the flow** - Run through the demo a few times 2. **Have backup plans** - Know what to do if something breaks 3. **Engage the audience** - Ask them what they'd like to see 4. **Show enthusiasm** - This is a cool project! 5. **Be prepared for questions** - Know the codebase well --- **Total Demo Time: ~30 minutes** **Perfect for technical interviews and MCP demonstrations**