
MCP Resume Chat Server
Enables AI-powered conversations about resume/CV content and email notification sending through a comprehensive MCP server. Features a modern Next.js frontend with resume chat interface, email forms, and resume viewer for SE interview demonstrations.
README
MCP Resume Chat Server
A comprehensive Model Context Protocol (MCP) server application that can chat about your resume/CV and send email notifications. Perfect for SE interviews and showcasing MCP capabilities.
🚀 Features
- Resume Chat: AI-powered chat interface that answers questions about your resume
- Email Notifications: Send email notifications through the MCP server
- Modern Frontend: Beautiful Next.js interface with dark mode support
- Well-Architected: Clean folder structure with TypeScript support
- No Database Required: Uses JSON files for data storage
📁 Project Structure
mcp-server/
├── app/ # Next.js frontend
│ ├── components/ # React components
│ │ ├── ChatInterface.tsx # Resume chat interface
│ │ ├── EmailForm.tsx # Email notification form
│ │ └── ResumeViewer.tsx # Resume data viewer
│ ├── api/ # API routes
│ │ └── resume/ # Resume data endpoint
│ └── page.tsx # Main application page
├── mcp-server/ # MCP server implementation
│ ├── index.js # Main MCP server (JavaScript)
│ └── index.ts # Main MCP server (TypeScript)
├── services/ # Business logic services
│ ├── resumeParser.js/ts # Resume data parsing
│ ├── resumeChatService.js/ts # AI chat functionality
│ └── emailService.js/ts # Email sending service
├── config/ # Configuration files
│ ├── email.ts # Email configuration
│ └── mcp.ts # MCP server configuration
├── data/ # Data storage
│ └── resume.json # Sample resume data
├── types/ # TypeScript type definitions
│ └── index.ts # Core types and interfaces
└── lib/ # Utility libraries
🛠️ Installation
-
Clone the repository
git clone <your-repo-url> cd mcp-server
-
Install dependencies
npm install
-
Set up environment variables Create a
.env.local
file in the root directory:# OpenAI API Key (required for resume chat) OPENAI_API_KEY=your_openai_api_key_here # Email Configuration (optional, for real email sending) SMTP_HOST=smtp.gmail.com SMTP_PORT=587 SMTP_SECURE=false SMTP_USER=your_email@gmail.com SMTP_PASS=your_app_password
-
Update resume data Edit
data/resume.json
with your actual resume information.
🚀 Running the Application
Start the Next.js Frontend
npm run dev
Open http://localhost:3000 to view the application.
Start the MCP Server
# Using JavaScript version
npm run mcp
# Using TypeScript version (requires compilation)
npm run dev:mcp
📖 Usage
1. Resume Chat
- Navigate to the "Resume Chat" tab
- Ask questions about your resume like:
- "What is my current position?"
- "What companies have I worked for?"
- "What are my main skills?"
- "What was my last role?"
2. Email Notifications
- Navigate to the "Email Notifications" tab
- Use the quick templates or create custom emails
- Configure SMTP settings for real email sending
3. Resume Viewer
- Navigate to the "View Resume" tab
- Browse through different sections of your resume
- View formatted resume data
🔧 MCP Server Tools
The MCP server exposes two main tools:
1. resume_chat
Answers questions about resume/CV information.
Parameters:
question
(string, required): The question to ask about the resumecontext
(string, optional): Additional context for the question
Example:
{
"name": "resume_chat",
"arguments": {
"question": "What is my current position?",
"context": "I'm preparing for an interview"
}
}
2. send_email
Sends email notifications.
Parameters:
recipient
(string, required): Email address of the recipientsubject
(string, required): Subject of the emailbody
(string, required): Body content of the emailfrom
(string, optional): Sender email address
Example:
{
"name": "send_email",
"arguments": {
"recipient": "recipient@example.com",
"subject": "Interview Invitation",
"body": "Thank you for your application...",
"from": "sender@example.com"
}
}
🎯 Interview Demo Script
1. Show the Architecture
- Explain the clean folder structure
- Highlight separation of concerns (services, config, types)
- Show TypeScript usage for type safety
2. Demonstrate MCP Server
- Start the MCP server:
npm run mcp
- Show the tools it exposes
- Explain how it integrates with AI for resume chat
3. Frontend Features
- Show the modern UI with tabs
- Demonstrate resume chat functionality
- Show email notification form
- Display resume viewer with different sections
4. Technical Highlights
- No Database: Uses JSON files for simplicity
- TypeScript: Full type safety throughout
- Modern Stack: Next.js 15, React 19, Tailwind CSS
- MCP Integration: Proper Model Context Protocol implementation
- Error Handling: Comprehensive error handling and user feedback
🔧 Configuration
Email Setup (Optional)
To enable real email sending:
-
Gmail Setup:
- Enable 2-factor authentication
- Generate an app password
- Use the app password in
SMTP_PASS
-
Other Providers:
- Update
SMTP_HOST
,SMTP_PORT
, andSMTP_SECURE
accordingly - Use appropriate authentication credentials
- Update
Resume Data
Update data/resume.json
with your information:
- Personal information
- Work experience
- Education
- Skills
- Projects
- Certifications
🚀 Deployment
Frontend (Vercel)
npm run build
# Deploy to Vercel or your preferred platform
MCP Server
The MCP server can be deployed as a standalone Node.js application or integrated into existing systems.
🤝 Contributing
- Fork the repository
- Create a feature branch
- Make your changes
- Add tests if applicable
- Submit a pull request
📄 License
This project is licensed under the MIT License.
🆘 Troubleshooting
Common Issues
-
MCP Server not starting:
- Check if all dependencies are installed
- Verify Node.js version compatibility
- Check console for error messages
-
Resume chat not working:
- Verify OpenAI API key is set
- Check if resume data is loaded correctly
- Ensure MCP server is running
-
Email sending fails:
- Verify SMTP configuration
- Check email provider settings
- Ensure app passwords are used for Gmail
Getting Help
- Check the console logs for detailed error messages
- Verify all environment variables are set correctly
- Ensure all dependencies are installed
Built with ❤️ for SE interviews and MCP demonstrations
推荐服务器

Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。