# Course Load Planner for students. AI Agent Connect

> Course Load Planner helps you design a sustainable academic schedule. It lets your AI client balance course credits against your actual weekly capacity and work commitments. You can check for prerequisite conflicts, find available classes, and spot weeks where too many deadlines hit at once.

## Overview
- **Category:** productivity
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_He3jJufk9k24hgLOxpRoBBzCj8wDEzBtHOyLeEeu/ai-agent-connect
- **Tags:** student, academic, scheduling, planning, university

## Description

Planning a semester shouldn't feel like a guessing game. Most students pick classes based on interest, only to realize halfway through the term that their work schedule and exam dates are clashing. This MCP changes how you approach registration. You can give your AI client your specific constraints, like how many hours you work per week or your maximum study capacity, and it will help you build a realistic plan. It doesn't just list classes; it looks at the math of your life. You can verify if a set of courses is actually doable before you commit, and you can identify those brutal weeks where every major assignment is due at the same time. It's about making sure your academic load fits into your actual life, not an idealized version of it.

## Tools

### calculate_term_pressure
This tool identifies high-stress periods by analyzing how deadlines are distributed throughout the term.

### get_available_courses
This tool pulls a list of all courses currently open for selection in your upcoming term.

### suggest_optimized_load
This tool recommends a balanced selection of courses based on your specific constraints like work hours and credit limits.

### validate_schedule
This tool checks if your proposed course list meets all academic prerequisites and practical time requirements.

## Prompt Examples

**Prompt:** 
```
Suggest a balanced course load for a student who can handle 40 total hours per week and works 15 hours per week, with a target of 12 credits.
```

**Response:** 
```
The recommended courses are CS101, MATH201, and HIST105.
```

**Prompt:** 
```
Is it possible to take CS101 and CS102 if I work 20 hours a week and my limit is 30 hours?
```

**Response:** 
```
Yes, the schedule is valid as the total study and work hours do not exceed your 30-hour limit.
```

**Prompt:** 
```
What are the available courses in the Computer Science department?
```

**Response:** 
```
The available Computer Science courses are CS101, CS102, and CS201.
```

## Capabilities

### Constraint-based planning
Your agent uses your work hours and credit limits to suggest specific courses.

### Prerequisite checking
The AI verifies that you have the necessary background for any course you select.

### Stress forecasting
The tool maps out deadline concentrations to show you when your workload will peak.

### Course discovery
Your agent can pull the full list of available classes for the upcoming term.

### Feasibility testing
The AI checks if a proposed schedule fits within your total weekly time capacity.

## Use Cases

### Balancing work and school
A student with a 20-hour work week uses the tool to ensure their classes don't exceed their remaining free time.

### Avoiding deadline spikes
A student checks their schedule to see if three major projects are due in the same week.

### Course selection
A student asks for a list of available Computer Science courses to start their planning.

### Schedule validation
A student confirms that a specific combination of classes is academically possible.

## Benefits

- Matches course loads to actual weekly time availability.
- Identifies deadline clusters before they cause burnout.
- Verifies prerequisite compliance automatically.
- Balances academic credits against employment commitments.

## How It Works

Connect the MCP to your client and start planning through natural conversation.

1. Connect the Course Load Planner MCP to your AI client via Vinkius.
2. Tell your agent your weekly time limits and work hours.
3. Ask the agent to suggest or validate a course selection.
4. Review the predicted stress periods and deadline distributions.

## Frequently Asked Questions

**How does this MCP help with scheduling?**
It uses tools to suggest balanced course loads, validate prerequisites, and identify high-stress weeks based on deadline density.

**Can I use this with Claude or Cursor?**
Yes, you can connect this MCP to any MCP-compatible client like Claude, Cursor, or Windsurf.

**Does it account for my job?**
Yes, you can provide your work hours as a constraint, and the tool will factor that into the course suggestions and schedule validation.

**How does it identify stressful weeks?**
The calculate_term_pressure tool analyzes how deadlines are spread out to show you when your workload is most concentrated.

**Do I need to host this myself?**
No, Vinkius hosts and manages the MCP so it is ready to use immediately after you connect your client.

**How does the planner ensure my schedule is realistic?**
The planner uses `validate_schedule` to check your course list against your work hours and maximum weekly capacity, ensuring you don't overcommit.

**Can I find courses for a specific department?**
Yes, you can use `get_available_courses` and provide a department name to filter the list of available courses.

**How can I avoid having too many exams in one week?**
You can use `calculate_term_pressure` to see the distribution of deadlines across the term and identify potential high-stress periods.