About LeaveManager MCP Server
LeaveManager MCP Server provides a structured interface for employee leave management, for teams that need to check balances, submit requests, and review records. It updates balances after successful applications and accepts multiple leave dates.
Key features
- 01Check remaining leave balances
- 02Submit leave applications
- 03View leave history
- 04Apply for multiple dates
- 05Update balances after applications
Use cases
- 01Check an employee's remaining leave
- 02Submit requests for consecutive or separate dates
- 03Review an employee's past requests and statuses
MCP support
The MCP server exposes leave-balance lookup, leave application, and history retrieval for AI assistants and automation tools.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMELeaveManager MCP Server
A Model Context Protocol (MCP) server for managing employee leave requests, balances, and history. This server provides a simple and efficient way to handle leave management operations through standardized API endpoints.
Features
- Leave Balance Management: Check remaining leave days for employees
- Leave Application: Apply for leave on specific dates
- Leave History: View complete leave history for employees
- Date Range Support: Apply for multiple consecutive or non-consecutive leave dates
- Real-time Balance Updates: Automatic balance updates after leave applications
Available Functions
1. Get Leave Balance
Check the remaining leave days for a specific employee.
{
"function": "get_leave_balance",
"parameters": {
"employee_id": "string"
}
}
Response: Returns the number of leave days remaining for the employee.
2. Apply Leave
Submit a leave application for specific dates.
{
"function": "apply_leave",
"parameters": {
"employee_id": "string",
"leave_dates": ["2025-06-03", "2025-06-04"]
}
}
Response: Confirms leave application and returns updated balance.
3. Get Leave History
Retrieve the complete leave history for an employee.
{
"function": "get_leave_history",
"parameters": {
"employee_id": "string"
}
}
Response: Returns chronological list of all leave applications and their status.
Usage Examples
Check Leave Balance
curl -X POST http://localhost:3000/mcp \
-H "Content-Type: application/json" \
-d '{
"method": "get_leave_balance",
"params": {
"employee_id": "E001"
}
}'
Apply for Single Day Leave
curl -X POST http://localhost:3000/mcp \
-H "Content-Type: application/json" \
-d '{
"method": "apply_leave",
"params": {
"employee_id": "E001",
"leave_dates": ["2025-06-03"]
}
}'
Apply for Multiple Days Leave
curl -X POST http://localhost:3000/mcp \
-H "Content-Type: application/json" \
-d '{
"method": "apply_leave",
"params": {
"employee_id": "E001",
"leave_dates": ["2025-06-03", "2025-06-04", "2025-06-05"]
}
}'
Date Format
All dates should be provided in ISO 8601 format: YYYY-MM-DD
Examples:
2025-06-03(June 3rd, 2025)2025-12-25(December 25th, 2025)
Error Handling
The server provides detailed error responses for common scenarios:
- Invalid Employee ID: Returns error if employee doesn't exist
- Insufficient Leave Balance: Prevents leave application if insufficient days remaining
- Invalid Date Format: Returns error for malformed dates
- Past Date Application: Prevents application for dates in the past
- Duplicate Leave Application: Prevents applying for already approved dates
API Response Format
Success Response
{
"success": true,
"data": {
"message": "Leave applied for 1 day(s). Remaining balance: 17."
}
}
Error Response
{
"success": false,
"error": {
"code": "INSUFFICIENT_BALANCE",
"message": "Insufficient leave balance. Required: 3, Available: 2"
}
}
License
This project is licensed under the MIT License - see the LICENSE file for details.
Changelog
v1.0.0
- Initial release
- Basic leave management functionality
- Employee balance tracking
- Leave application system
- Leave history retrieval
Note: This is an MCP (Model Context Protocol) server designed to work with AI assistants and automation tools.
Comments
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From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.