How does the MCP decide who does which chore?

It uses effort points to weight the difficulty of tasks and balances these against the historical contributions and current availability of each member.

Can I use this with Claude or Cursor?

Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.

What happens if someone is unavailable for a chore?

The MCP respects member availability and exclusions when calculating assignments to ensure tasks are only given to eligible people.

How do I know if the chore list is missing something?

You can use the validate_chore_config capability to check if your chores and member constraints are logically sound.

Does this MCP host the data?

Vinkius hosts and manages the MCP, so it is ready to use immediately after you connect your client.

How does the system ensure fairness?

The system uses effort points for each task and compares current assignments against the historical effort totals of each member to maintain a stable fairness score.

Can I prevent certain people from doing specific tasks?

Yes, you can define exclusions in the member list to ensure specific members are not assigned tasks they are unable or unwilling to perform.

What happens if a chore cannot be assigned?

If a chore cannot be assigned due to availability or exclusion constraints, it will be listed in the missed constraints section of the assignment result.

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Connect Chore Fairness Balancer 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. Stop burnout by balancing workloads against historical contributions.

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 Chore Fairness Balancer.

01
Calculate assignments
This capability generates the most balanced chore distribution for a specific timeframe.
02
Get member workload summary
Get a snapshot of how labor is currently distributed across your entire group.
03
Simulate fairness impact
Use this to predict how adding new chores or changing member availability will change the fairness score.
04
Validate chore config
This capability checks your chore list and member constraints to ensure there are no logical conflicts.

Real work

What teams actually run

Roommate Chore Rotation

Automatically assign cleaning and maintenance tasks so no one roommate carries the load.

Family Task Management

Balance household chores among family members based on their specific availability.

Co-living Workload Audits

Use workload summaries to see if the current chore distribution is actually fair.

New Task Planning

Simulate the impact of adding a new weekly chore before you officially assign it.

One connector, every AI

Chore Fairness Balancer 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 Chore Fairness Balancer 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

872ms average. Fast in production.

Chore Fairness Balancer is checked daily against the live service.

Daily averagePeak 1149ms

Oct 3Today

Fastest day: 784ms
Slowest day: 1149ms
14-day trend: Slowing+30%

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 Chore Fairness Balancer, so you can see the experience inside your AI.

It does not authenticate your account with Chore Fairness Balancer. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Chore Fairness Balancer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_Em817bu2N19Yl69oTlmIyE3gdiQnhoajH3hoGnaD/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 — Chore Fairness Balancer capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "chore-fairness-balancer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Em817bu2N19Yl69oTlmIyE3gdiQnhoajH3hoGnaD/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 Chore Fairness Balancer in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Chore Fairness Balancer owners hand off.

This MCP is for anyone managing shared living spaces or group responsibilities where workload equity is a priority.

01
Household Managers
People looking to automate fair chore rotation for families or roommates.
02
Community Organizers
Individuals managing shared duties in dorms, co-living spaces, or small organizations.
03
Project Coordinators
Users who want to apply workload balancing logic to small team tasks.

FAQ

Questions Chore Fairness Balancer owners ask.

01
How does the MCP decide who does which chore?
It uses effort points to weight the difficulty of tasks and balances these against the historical contributions and current availability of each member.
02
Can I use this with Claude or Cursor?
Yes, you can connect this MCP to any MCP-compatible client including Claude, Cursor, and Windsurf.
03
What happens if someone is unavailable for a chore?
The MCP respects member availability and exclusions when calculating assignments to ensure tasks are only given to eligible people.
04
How do I know if the chore list is missing something?
You can use the validate_chore_config capability to check if your chores and member constraints are logically sound.
05
Does this MCP host the data?
Vinkius hosts and manages the MCP, so it is ready to use immediately after you connect your client.
06
How does the system ensure fairness?
The system uses effort points for each task and compares current assignments against the historical effort totals of each member to maintain a stable fairness score.
07
Can I prevent certain people from doing specific tasks?
Yes, you can define exclusions in the member list to ensure specific members are not assigned tasks they are unable or unwilling to perform.
08
What happens if a chore cannot be assigned?
If a chore cannot be assigned due to availability or exclusion constraints, it will be listed in the missed constraints section of the assignment result.

Explore

More in Productivity

Connect Chore Fairness Balancer 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

Calculate assignments

Get member workload summary

Simulate fairness impact

Validate chore config

What teams actually run

Roommate Chore Rotation

Family Task Management

Co-living Workload Audits

New Task Planning

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

Chore Fairness Balancer Connector

Claude Desktop

Household Managers

Community Organizers

Project Coordinators

How does the MCP decide who does which chore?

Can I use this with Claude or Cursor?

What happens if someone is unavailable for a chore?

How do I know if the chore list is missing something?

Does this MCP host the data?

How does the system ensure fairness?

Can I prevent certain people from doing specific tasks?

What happens if a chore cannot be assigned?

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