What is Itsmistahji Leave Management Mcp

itsmistahji-leave-management-mcp is a Model Context Protocol (MCP) server designed to manage employee leave records by integrating with Excel workbooks that contain leave data.

Use cases

Use cases include tracking employee leave requests, analyzing leave patterns, generating reports on leave usage, and ensuring compliance with company leave policies.

How to use

To use itsmistahji-leave-management-mcp, clone the repository, set up the Python environment, install the necessary dependencies, configure the server settings in a .env file, and run the server to query and analyze leave records.

Key features

Key features include integration with Excel for leave data management, querying capabilities for employee leave records, and a structured project setup for easy maintenance and scalability.

Where to use

itsmistahji-leave-management-mcp can be used in organizations that need to manage employee leave efficiently, particularly in HR departments and administrative offices.

Leave Management MCP Server

This repository contains a Model Context Protocol (MCP) server for managing employee leave in an organization. The server integrates with Excel workbooks containing employee leave data and provides tools for querying and analyzing leave records.

Table of Contents

• Prerequisites
• Project Structure
• Installation
• Configuration
• Running the Server
• Troubleshooting
• Example Queries

Prerequisites

• Python 3.9+
• UV package manager
• Claude Desktop (or another MCP client)
• Excel workbook with leave data

Project Structure

leave-management-mcp/
├── src/
│   ├── __init__.py
│   ├── config.py                # Configuration settings
│   ├── leave_server.py          # Main MCP server
│   ├── data_manager.py          # Data processing module
│   └── models/
│       ├── __init__.py
│       └── employee.py          # Employee data models
├── data/
│   └── leave_tracker.xlsx       # Excel workbook with leave data
├── main.py                      # Entry point wrapper
├── __init__.py                  # Root package marker
├── requirements.txt             # Dependencies
└── README.md                    # Project documentation

Installation

1. Clone this repository:

git clone https://github.com/ItsMistahJi/itsmistahji-leave-management-mcp.git
cd leave-management-mcp

2. Set up the Python environment with UV:

pip install uv
uv init .

3. Install dependencies:

uv add "mcp[cli]" pandas openpyxl python-dotenv PyPDF2

Configuration

1. Create a .env file in the project root:

DATA_DIR=/path/to/your/data/directory
EXCEL_FILE=/path/to/your/data/directory/leave_tracker.xlsx
SERVER_NAME=LeaveManagement
DEBUG_MODE=True

2. Ensure your Excel workbook has the correct structure:
   • A sheet named “Leaves-2025” (or modify data_manager.py to use your sheet name)
   • Columns for “Sl No”, “Name”, “EMP ID”, “Location”, and month names (“Jan”, “Feb”, etc.)

Running the Server

Local Development Testing

# Test the server locally
uv run python -m src.leave_server

# Install in Claude Desktop for testing
uv run mcp install src/leave_server.py --name "Leave Management"

VS Code Integration

Add this configuration to your VS Code settings:

[

Note: Replace /path/to/leave-management-mcp with your actual project path.

Troubleshooting

“No module named ‘src’” Error

This error occurs when Python can’t find the ‘src’ package in its module search path.

Solutions:

1. Add __init__.py files to make src a proper package:

touch __init__.py
touch src/__init__.py
touch src/models/__init__.py

2. Modify your server script (leave_server.py) to include the path:

import sys
import os
sys.path.insert(0, os.path.abspath(os.path.dirname(os.path.dirname(__file__))))

3. Use the main.py wrapper in the root directory:

import sys
import os
sys.path.insert(0, os.path.abspath('.'))
from src.leave_server import mcp
if __name__ == "__main__":
    mcp.run()

“No module named ‘pandas’” Error

This occurs when the environment running your server doesn’t have pandas installed.

Solutions:

1. Ensure all dependencies are installed in the same environment:

uv add pandas openpyxl python-dotenv PyPDF2

2. Use the --with flag when running the server:

uv run --with "mcp[cli],pandas,openpyxl,python-dotenv,PyPDF2" mcp run src/leave_server.py

Excel Data Loading Issues

If you encounter validation errors with Excel data:

1. Review and modify the load_data function in data_manager.py to match your Excel structure
2. Ensure the sheet name matches your Excel file
3. Check column names and handle NaN values properly

Example Queries

Once your server is running, you can ask Claude:

• “Who is on leave today?”
• “Show me the leave balance for employee 12345”
• “List all employees on leave in April”
• “Get leave details for Arun S”
• “When did Jeeva Rao take leave in March?”

Finding Logs for Debugging

• Claude Desktop Logs:
  • macOS: ~/Library/Logs/Claude/mcp.log
  • Windows: %APPDATA%\Claude\logs\mcp.log
• Print Statements: Any print() statements in your server code will appear in the logs.