How does this MCP ensure fairness?

It uses specific fairness rules, such as equal rent or feature-based pricing, to weigh room features against resident profiles.

Can I use my own rules for room assignments?

Yes, the engine synthesizes your custom fairness logic with the available room and resident data.

What happens if a resident has accessibility needs?

The engine treats accessibility as a hard constraint, meaning it prioritizes these needs during the recommendation process.

Can I check a plan I made myself?

Yes, you can use the validation capability to see if a manually proposed assignment meets all your household rules.

Which AI clients can use this MCP?

You can use this with any MCP-compatible client like Claude, Cursor, or Windsurf.

How does the capability handle accessibility needs?

Accessibility needs are treated as hard constraints. The engine ensures any resident with mobility or accessibility requirements is assigned a room that meets those specific needs before considering other preferences.

Can I verify a custom assignment I made myself?

Yes, you can use the validate_assignment_plan capability to check if your proposed mapping of residents to rooms satisfies all budget, accessibility, and fairness rules.

What happens if a resident's budget is exceeded?

The engine will not recommend an assignment that exceeds a resident's budget limit. If no valid assignment can be found within the budget constraints, the capability will return an error.

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Connect Room Assignment Decision 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. Automate fair living arrangements for shared households.

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 Room Assignment Decision.

01
Calculate assignment recommendation
This capability generates a primary room plan by combining resident data, room features, and your specific fairness rules.
02
Get resident profiles
Use this to pull the specific profiles and needs of everyone living in the household.
03
Get room values
This capability provides a list of all available rooms and the specific features each one contains.
04
Validate assignment plan
This capability checks a manual room assignment against your established household rules to ensure it is valid.

Real work

What teams actually run

New Housemate Setup

When a new group moves into a house, use the recommendation capability to assign rooms based on their initial preferences.

Rent Adjustment Logic

Use the engine to calculate how much each person should pay based on the specific features of their assigned room.

Accessibility Compliance

Ensure that residents with specific physical needs are assigned to the correct rooms without manual error.

Conflict Resolution

Run a validation check on a disputed plan to prove whether it meets the agreed-upon household rules.

One connector, every AI

Room Assignment Decision 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 Room Assignment Decision 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

929ms average. Fast in production.

Room Assignment Decision is checked daily against the live service.

Daily averagePeak 988ms

Oct 14Today

Fastest day: 843ms
Slowest day: 988ms
14-day trend: Improving-12%

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 Room Assignment Decision, so you can see the experience inside your AI.

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

Room Assignment Decision Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_vdIybUMRtAJ2XZba3wbg3hkFGx7DmjjkN6CPnrEW/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 — Room Assignment Decision capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "room-assignment-decision-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_vdIybUMRtAJ2XZba3wbg3hkFGx7DmjjkN6CPnrEW/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 Room Assignment Decision in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Room Assignment Decision owners hand off.

This is for anyone managing shared living spaces who wants to remove the guesswork from room allocations.

01
Property Managers
They hand off resident data and room lists to the AI to generate compliant housing plans.
02
Roommate Coordinators
They use the capability to settle disputes by providing a logic-based recommendation.
03
Student Housing Administrators
They use the validation capability to ensure dorm assignments meet specific accessibility requirements.

FAQ

Questions Room Assignment Decision owners ask.

01
How does this MCP ensure fairness?
It uses specific fairness rules, such as equal rent or feature-based pricing, to weigh room features against resident profiles.
02
Can I use my own rules for room assignments?
Yes, the engine synthesizes your custom fairness logic with the available room and resident data.
03
What happens if a resident has accessibility needs?
The engine treats accessibility as a hard constraint, meaning it prioritizes these needs during the recommendation process.
04
Can I check a plan I made myself?
Yes, you can use the validation capability to see if a manually proposed assignment meets all your household rules.
05
Which AI clients can use this MCP?
You can use this with any MCP-compatible client like Claude, Cursor, or Windsurf.
06
How does the capability handle accessibility needs?
Accessibility needs are treated as hard constraints. The engine ensures any resident with mobility or accessibility requirements is assigned a room that meets those specific needs before considering other preferences.
07
Can I verify a custom assignment I made myself?
Yes, you can use the validate_assignment_plan capability to check if your proposed mapping of residents to rooms satisfies all budget, accessibility, and fairness rules.
08
What happens if a resident's budget is exceeded?
The engine will not recommend an assignment that exceeds a resident's budget limit. If no valid assignment can be found within the budget constraints, the capability will return an error.

Explore

More in Productivity

Connect Room Assignment Decision 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 assignment recommendation

Get resident profiles

Get room values

Validate assignment plan

What teams actually run

New Housemate Setup

Rent Adjustment Logic

Accessibility Compliance

Conflict Resolution

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

Room Assignment Decision Connector

Claude Desktop

Property Managers

Roommate Coordinators

Student Housing Administrators

How does this MCP ensure fairness?

Can I use my own rules for room assignments?

What happens if a resident has accessibility needs?

Can I check a plan I made myself?

Which AI clients can use this MCP?

How does the capability handle accessibility needs?

Can I verify a custom assignment I made myself?

What happens if a resident's budget is exceeded?

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