HR Assistant Agent
An MCP-powered HR management system that automates employee onboarding, leave tracking, meeting scheduling, and IT ticketing. It allows users to manage organizational workflows and administrative tasks through natural language interactions with Claude.
README
🤖 HR Assistant Agent
An intelligent, MCP-powered HR management system that automates employee onboarding, leave management, meeting scheduling, and IT ticketing through conversational AI.
📖 Overview
HR Assistant Agent is an AI-powered human resources management system built on the Model Context Protocol (MCP). It streamlines HR operations by providing a conversational interface for common HR tasks, reducing administrative overhead and enabling HR teams to focus on strategic initiatives rather than repetitive tasks.
The system integrates employee management, leave tracking, meeting coordination, and IT equipment provisioning into a unified platform accessible through natural language interactions with Claude AI.
📊 Visual Insights
Below are real-world examples of the HR Assistant Agent in action, demonstrating its automated onboarding workflow and MCP tool interactions.
| 📸 Screenshot | 🔍 Description |
|---|---|
![]() |
Complete Onboarding Workflow - Shows Claude orchestrating the full employee onboarding for "Shabnam Kumari" with 16 automated steps including HRMS addition, welcome email, manager notification, equipment tickets, and meeting scheduling. |
![]() |
Onboarding Completion Summary - Detailed breakdown showing successful completion of all tasks: welcome email sent to shabnam82101@gmail.com, manager Tony Sharma notified, three equipment tickets raised (Laptop, ID Card, Office Supplies), and introductory meeting scheduled for January 15, 2026. |
![]() |
Behind-the-Scenes MCP Tool Calls - Demonstrates the technical execution showing get_employee_details request/response for Tony Sharma (E004) and add_employee tool call with JSON parameters for onboarding "Nishant" under manager E004. |
![]() |
Final Onboarding Confirmation - Shows successful onboarding of "Nishant" (E009) with all steps completed: employee added, welcome email sent, manager notification delivered, three equipment tickets created (T0011-T0013), and introductory meeting scheduled for January 15, 2026 at 10:00 AM. |
Key Features
- 🧑💼 Employee Management: Add employees, retrieve details, search by name, and manage organizational hierarchy
- 📅 Leave Management: Track leave balances, process applications, and maintain leave history
- 🗓️ Meeting Scheduler: Schedule, view, and cancel meetings with conflict detection
- 🎫 IT Ticketing: Create and track equipment requests (laptops, monitors, accessories)
- 📧 Email Automation: Automated email notifications for onboarding, approvals, and updates
- 🚀 Smart Onboarding: Complete employee onboarding workflow with a single prompt
🎯 Why It Matters
Problems It Solves
- Manual HR Processes: Eliminates repetitive manual data entry and form filling
- Fragmented Systems: Unifies multiple HR functions into one conversational interface
- Onboarding Complexity: Reduces multi-day onboarding to minutes with automated workflows
- Communication Overhead: Automates routine notifications and reminders
- Data Accessibility: Provides instant access to employee information without navigating multiple systems
Real-World Impact
- Time Savings: Reduces onboarding time from hours to minutes
- Error Reduction: Automated workflows minimize human error in data entry
- Scalability: Easily handles growing employee bases without proportional HR staff increases
- Employee Experience: New hires receive timely communication and equipment provisioning
🏗️ Architecture
System Design
┌─────────────────────────────────────────────────────────────┐
│ Claude AI │
│ (Conversational Interface) │
└────────────────────────┬────────────────────────────────────┘
│
│ MCP Protocol
│
┌────────────────────────▼────────────────────────────────────┐
│ FastMCP Server │
│ (server.py) │
│ │
│ ┌──────────────────────────────────────────────────────┐ │
│ │ MCP Tools Layer │ │
│ │ • add_employee • schedule_meeting │ │
│ │ • get_employee • cancel_meeting │ │
│ │ • apply_leave • create_ticket │ │
│ │ • send_email • update_ticket │ │
│ └──────────────────────────────────────────────────────┘ │
└────────────────────────┬────────────────────────────────────┘
│
┌────────────┼────────────┐
│ │ │
┌───────────▼──┐ ┌──────▼─────┐ ┌──▼──────────┐
│ Employee │ │ Leave │ │ Meeting │
│ Manager │ │ Manager │ │ Manager │
└──────────────┘ └────────────┘ └─────────────┘
│ │ │
└────────────┼────────────┘
│
┌────────▼─────────┐
│ Ticket Manager │
└──────────────────┘
│
┌────────▼─────────┐
│ Email Sender │
│ (SMTP/Gmail) │
└──────────────────┘
Component Breakdown
1. MCP Server Layer (server.py)
- Exposes HR operations as MCP tools
- Handles request routing and validation
- Manages prompt templates for complex workflows
- Coordinates between different managers
2. Business Logic Layer
- EmployeeManager: Handles employee CRUD operations and organizational structure
- LeaveManager: Processes leave requests and maintains balance/history
- MeetingManager: Schedules meetings with conflict detection
- TicketManager: Tracks IT equipment requests through their lifecycle
3. Communication Layer (emails.py)
- SMTP integration for automated email notifications
- Support for HTML emails and attachments
- TLS/SSL secure connections
4. Data Layer (utils.py)
- Seeded test data for development
- Mock employee database with 8 employees
- Sample leave records, meetings, and tickets
📁 Project Structure
HR-Assistant-Agent/
│
├── HRMS/ # Core HR management modules
│ ├── __init__.py # Package initialization
│ ├── employee_manager.py # Employee operations
│ ├── leave_manager.py # Leave tracking
│ ├── meeting_manager.py # Meeting scheduling
│ ├── ticket_manager.py # IT ticketing system
│ └── schemas.py # Pydantic data models
│
├── server.py # FastMCP server & tool definitions
├── emails.py # Email automation module
├── utils.py # Data seeding utilities
│
├── .env # Environment variables (not in repo)
├── .gitignore # Git ignore rules
├── pyproject.toml # Project dependencies
├── python-version.txt # Python version specification
├── README.md # This file
└── uv.lock # Dependency lock file
🛠️ Tech Stack
Core Technologies
| Technology | Purpose | Version |
|---|---|---|
| Python | Primary language | 3.8+ |
| FastMCP | MCP server framework | Latest |
| Pydantic | Data validation | 2.0+ |
| Claude AI | Conversational interface | Sonnet 4.5 |
Key Libraries
- smtplib: SMTP email protocol
- ssl: Secure email connections
- dotenv: Environment variable management
- datetime: Date/time handling
- typing: Type hints and validation
- difflib: Fuzzy name matching
Development Tools
- uv: Fast Python package installer
- VS Code: Recommended IDE
- Git: Version control
🚀 Setup & Installation
Prerequisites
- Python 3.8 or higher
- Gmail account (for email functionality)
- uv package manager (optional but recommended)
- Claude Desktop or API access
Step 1: Clone the Repository
git clone https://github.com/yourusername/hr-assistant-agent.git
cd hr-assistant-agent
Step 2: Install Dependencies
Using uv (Recommended):
uv pip install -r requirements.txt
Using pip:
pip install fastmcp pydantic python-dotenv
Step 3: Configure Environment Variables
Create a .env file in the project root:
SENDER_EMAIL=your-email@gmail.com
SENDER_EMAIL_PWD=your-app-password
📌 Important: For Gmail, you need to generate an App Password:
- Enable 2-Factor Authentication on your Google account
- Go to Google Account Settings → Security → 2-Step Verification → App Passwords
- Generate a new app password for "Mail"
- Use this password in
SENDER_EMAIL_PWD
Step 4: Configure Claude Desktop
Add the server to your Claude Desktop configuration:
Location:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
Configuration:
{
"mcpServers": {
"hr-assistant": {
"command": "python",
"args": ["/absolute/path/to/server.py"],
"env": {
"SENDER_EMAIL": "your-email@gmail.com",
"SENDER_EMAIL_PWD": "your-app-password"
}
}
}
}
Step 5: Run the Server
Standalone Mode (for testing):
python server.py
With Claude Desktop:
- Restart Claude Desktop
- Look for the 🔌 icon indicating MCP connection
- Start interacting with your HR Assistant!
💡 Usage Examples
Example 1: Onboarding a New Employee
You: Onboard a new employee named Alex Thompson with email alex.thompson@bluparrot.in
reporting to Sarah Johnson
Claude: I'll help you onboard Alex Thompson. Let me:
1. Add them to the system
2. Send welcome email
3. Notify their manager
4. Create equipment tickets
5. Schedule introductory meeting
✅ Alex Thompson (E009) added successfully
✅ Welcome email sent
✅ Manager Sarah Johnson notified
✅ Tickets created: Laptop, ID Card
✅ Meeting scheduled for tomorrow at 10 AM
Example 2: Checking Leave Balance
You: What's Tony Sharma's leave balance?
Claude: Tony Sharma (E004) has 12 leave days remaining.
Example 3: Scheduling a Meeting
You: Schedule a team sync meeting for David Wilson on January 20, 2026 at 2 PM
Claude: Meeting scheduled for E003 on 2026-01-20T14:00:00 about 'Team Sync'.
Example 4: Creating an IT Ticket
You: Create a ticket for Lisa Wong requesting a new monitor for dual screen setup
Claude: Ticket T0012 created for E008 requesting 'Monitor' for dual screen setup.
📊 Seeded Test Data
The system comes pre-populated with test data for immediate experimentation:
Organizational Structure
Sarah Johnson (E001) - CEO
├── David Wilson (E003) - Engineering Manager
│ ├── Tony Sharma (E004) - Software Engineer
│ └── James Rodriguez (E005) - Software Engineer
│
Michael Chen (E002) - CPO
└── Emily Kim (E006) - Product Manager
├── Carlos Mendez (E007) - Product Designer
└── Lisa Wong (E008) - Product Analyst
Sample Data Includes
- 8 Employees across leadership, engineering, and product teams
- Random leave balances (5-20 days per employee)
- Historical leave records (1-90 days ago)
- Scheduled meetings (next 10 days)
- IT tickets (laptops, monitors, accessories)
🔧 Configuration Options
Email Settings
Modify the EmailSender initialization in server.py:
emailer = EmailSender(
smtp_server="smtp.gmail.com", # Change for other providers
port=587, # 587 for TLS, 465 for SSL
username=os.getenv("SENDER_EMAIL"),
password=os.getenv("SENDER_EMAIL_PWD"),
use_tls=True # False for SSL
)
Leave Balance Defaults
Adjust in leave_manager.py:
self.employee_leaves: Dict[str, Dict] = defaultdict(
lambda: {"balance": 20, "history": []} # Change default balance
)
Ticket ID Format
Modify in ticket_manager.py:
ticket_id = f"T{self._next_id:04d}" # Format: T0001, T0002, etc.
🔒 Security Considerations
Best Practices Implemented
- Environment Variables: Sensitive credentials stored in
.envfile - TLS/SSL: Encrypted email communications
- No Hardcoded Secrets: All passwords and tokens externalized
- Input Validation: Pydantic schemas validate all inputs
- Error Handling: Graceful error messages without exposing internals
Additional Recommendations
- Never commit
.envfile to version control - Use app-specific passwords for Gmail (not your main password)
- Implement rate limiting for production deployments
- Add authentication if exposing as a web service
- Audit logs for sensitive HR operations
- Encrypt stored data in production databases
🐛 Troubleshooting
Common Issues
1. Email Not Sending
Problem: SMTPAuthenticationError: Username and Password not accepted
Solution:
- Ensure 2FA is enabled on your Google account
- Generate an App Password (not your regular password)
- Verify
.envfile has correct credentials
2. MCP Server Not Connecting
Problem: Claude Desktop doesn't show MCP connection
Solution:
- Check
claude_desktop_config.jsonhas correct absolute path - Restart Claude Desktop completely
- Verify Python path in configuration
- Check server.py runs without errors standalone
3. Employee Not Found
Problem: ValueError: Employee ID 'E999' not found
Solution:
- Use
search_employee_by_name()for fuzzy matching - Check employee exists in seeded data
- Verify employee ID format (E001, E002, etc.)
4. Meeting Conflict Error
Problem: ValueError: Conflict: E001 already has a meeting at datetime
Solution:
- Check existing meetings with
get_meetings() - Choose a different time slot
- Cancel conflicting meeting first if needed
Debug Mode
Enable detailed logging:
import logging
logging.basicConfig(level=logging.DEBUG)
🤝 Contributing
Contributions are welcome! Here's how you can help:
Areas for Improvement
- [ ] Database integration (PostgreSQL/MongoDB)
- [ ] REST API endpoints
- [ ] Web dashboard UI
- [ ] Slack/Teams integration
- [ ] Calendar sync (Google Calendar, Outlook)
- [ ] Performance reviews module
- [ ] Payroll integration
- [ ] Advanced reporting and analytics
- [ ] Multi-language support
- [ ] Mobile app
How to Contribute
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
Code Standards
- Follow PEP 8 style guide
- Add type hints to all functions
- Write docstrings for public methods
- Include unit tests for new features
- Update README for new functionality
📝 License
This project is licensed under the MIT License - see the LICENSE file for details.
🙏 Acknowledgments
- Anthropic for Claude AI and MCP protocol
- FastMCP team for the excellent MCP framework
- Pydantic for robust data validation
- Open source community for inspiration
📞 Support
- Issues: GitHub Issues
- Discussions: GitHub Discussions
- Email: nishantranjan8875@gmail.com
🗺️ Roadmap
Version 2.0 (Q2 2026)
- [ ] PostgreSQL database backend
- [ ] REST API with FastAPI
- [ ] Authentication and authorization
- [ ] Audit logging
Version 3.0 (Q3 2026)
- [ ] Web-based admin dashboard
- [ ] Real-time notifications
- [ ] Document management
- [ ] Performance review workflows
Version 4.0 (Q4 2026)
- [ ] AI-powered HR insights
- [ ] Predictive analytics
- [ ] Mobile applications
- [ ] Multi-tenant support
👨💻 Author
NISHU KUMAR
- GitHub: My Github Profile
- LinkedIn: LinkedIn
- Email: nishantranjan8875@gmail.com
<div align="center">
Built with ❤️ using Claude AI and FastMCP
⭐ Star this repo if you find it helpful!
Report Bug • Request Feature • Documentation
</div>
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。



