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 capability 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 capability 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.

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Connect Student Work-Life Optimizer to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Balance your classes, work shifts, and income targets.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Student Work-Life Optimizer.

01
Validate shift feasibility
This capability checks if a proposed work shift conflicts with your existing class schedule or the time you need to travel between locations.
02
Calculate weekly capacity
Use this to find the maximum and minimum number of hours you can realistically work in a week.
03
Generate optimized schedule
This capability builds a weekly plan that tries to meet your income goals while respecting your classes and travel needs.
04
Evaluate income target
This capability calculates if your planned work shifts will actually result in the amount of money you need to earn.

Real work

What teams actually run

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.

One connector, every AI

Student Work-Life Optimizer works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Student Work-Life Optimizer to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

930ms average. Fast in production.

Student Work-Life Optimizer is checked daily against the live service.

Daily averagePeak 1124ms

Oct 12Today

Fastest day: 742ms
Slowest day: 1124ms
14-day trend: Slowing+34%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Student Work-Life Optimizer, so you can see the experience inside your AI.

It does not authenticate your account with Student Work-Life Optimizer. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Student Work-Life Optimizer Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_i7kLyFRAv9wbuRkDV2KdHNTFnlmwh3uLm0A202hO/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Student Work-Life Optimizer capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "student-work-life-optimizer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_i7kLyFRAv9wbuRkDV2KdHNTFnlmwh3uLm0A202hO/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Student Work-Life Optimizer in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Student Work-Life Optimizer owners hand off.

This MCP is built for students who need to juggle part-time jobs with a full academic load.

01
University Students
Students who hand off their class schedules and income goals to the AI to get a workable weekly plan.
02
Part-time Workers
Employees who need to verify if new shifts will interfere with their existing commitments.

FAQ

Questions Student Work-Life Optimizer owners ask.

01
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.
02
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.
03
Does it account for travel time?
Yes, the capability checks if a shift is feasible by looking at the time needed to travel from your previous commitment.
04
Which AI clients work with this MCP?
You can use this with any MCP-compatible client like Claude, Cursor, or Windsurf.
05
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.
06
How does the capability 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.
07
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.
08
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.

Explore

More in Productivity

Connect Student Work-Life Optimizer to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-04

Validate shift feasibility

Calculate weekly capacity

Generate optimized schedule

Evaluate income target

What teams actually run

Meeting Monthly Rent

Avoiding Class Conflicts

Managing Commute Times

Weekly Planning

Building your own app? The connector is yours to use.

Student Work-Life Optimizer Connector

Claude Desktop

University Students

Part-time Workers

How does this MCP help with student scheduling?

Can I use this to make sure I earn enough money?

Does it account for travel time?

Which AI clients work with this MCP?

Can it tell me how many hours I can work?

How does the capability handle travel time?

Can I set a specific income goal?

How do I know how many hours I can work?

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