# Student Work-Life Optimizer MCP. AI Agent Connect

> Student Work-Life Optimizer MCP manages the friction between academic commitments and part-time employment. It calculates your available working hours, checks if work shifts clash with your class schedule or commute, and builds weekly plans that hit your specific financial goals.

## Overview
- **Category:** productivity
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_i7kLyFRAv9wbuRkDV2KdHNTFnlmwh3uLm0A202hO/ai-agent-connect
- **Tags:** student, optimization, scheduling, finance, academic

## Description

Managing a university degree while trying to pay the bills is a constant math problem. You have to account for lecture times, study blocks, travel between campus and work, and the minimum amount of money you need to survive the month. This MCP acts as your personal scheduling engine to solve that equation. Instead of manually checking your calendar against your bank account, you give your AI client your constraints and let it run the numbers. It looks at your fixed academic commitments and calculates exactly how much time you have left to work. It also checks if a shift you want to take is actually possible given your travel time, so you don't end up late for a midterm. If you have a specific amount of money you need to make by Friday, the MCP can propose a weekly schedule that hits that target without burning you out.

## Tools

### validate_shift_feasibility
This tool checks if a proposed work shift conflicts with your existing class schedule or the time you need to travel between locations.

### calculate_weekly_capacity
Use this to find the maximum and minimum number of hours you can realistically work in a week.

### generate_optimized_schedule
This tool builds a weekly plan that tries to meet your income goals while respecting your classes and travel needs.

### evaluate_income_target
This tool calculates if your planned work shifts will actually result in the amount of money you need to earn.

## Prompt Examples

**Prompt:** 
```
Create a schedule for a student with a $500 goal and $15/hr wage.
```

**Response:** 
```
Your optimized schedule includes 33.3 hours of work distributed across Monday, Wednesday, and Friday to meet your $500 target.
```

**Prompt:** 
```
Is a shift from 2 PM to 6 PM feasible if my class ends at 1:30 PM?
```

**Response:** 
```
No, the shift is infeasible because the 30-minute window is insufficient for the required commute time.
```

**Prompt:** 
```
How much will I earn with 20 hours of work at $20 per hour?
```

**Response:** 
```
You will earn $400 total.
```

## Capabilities

### Conflict Detection
Your agent identifies when a work shift overlaps with a lecture or doesn't leave enough time for a commute.

### Capacity Planning
The AI determines your realistic work hour limits based on your academic load.

### Financial Goal Tracking
Your agent checks if your scheduled shifts will meet your specific weekly or monthly income needs.

### Automated Scheduling
The MCP generates a full weekly plan that balances your money needs with your school schedule.

## Use Cases

### Meeting Monthly Rent
You tell the AI how much rent you owe and your hourly wage, and it builds a schedule to hit that target.

### Avoiding Class Conflicts
You check a new job offer against your lecture times to ensure you won't be late for class.

### Managing Commute Times
The AI verifies that you have enough time to get from campus to your workplace between shifts.

### Weekly Planning
You generate a complete weekly overview that respects your study time and work requirements.

## Benefits

- Prevents scheduling conflicts between work and university.
- Calculates exact work hours needed to reach financial targets.
- Accounts for travel time to ensure shifts are actually reachable.
- Provides a realistic weekly plan based on fixed constraints.

## How It Works

Connect the MCP to your AI client to start managing your time and money.

1. Connect the MCP to Claude, Cursor, or Windsurf via Vinkius.
2. Provide your class schedule and travel requirements to your AI client.
3. Input your desired income target and hourly wage.
4. Ask the AI to generate or validate your weekly schedule.

## Frequently Asked Questions

**How does this MCP help with student scheduling?**
It uses your class times and travel needs to build a schedule that ensures you can actually make it to work and school on time.

**Can I use this to make sure I earn enough money?**
Yes, you can provide an income target and your wage, and the MCP will calculate if your shifts meet that goal.

**Does it account for travel time?**
Yes, the tool checks if a shift is feasible by looking at the time needed to travel from your previous commitment.

**Which AI clients work with this MCP?**
You can use this with any MCP-compatible client like Claude, Cursor, or Windsurf.

**Can it tell me how many hours I can work?**
Yes, it calculates your maximum and minimum realistic work hours based on your academic schedule.

**How does the tool handle travel time?**
The engine uses `validate_shift_feasibility` to ensure that the time between a class and a work shift is sufficient for the required commute.

**Can I set a specific income goal?**
Yes, you can use `evaluate_income_target` to check if your shifts meet your goal or `generate_optimized_schedule` to find a plan that reaches it.

**How do I know how many hours I can work?**
You can use `calculate_weekly_capacity` to determine your maximum and minimum workable hours based on your classes and sleep needs.