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Connect Shared Laundry Coordination Plan to your AI

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 fighting over the washing machine and sync your household schedules.

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

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.

A futuristic MCP client docking bay
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 Shared Laundry Coordination.

  1. 01

    Calculate load ownership

    This capability identifies which specific person is responsible for a particular laundry load. It helps prevent confusion over whose clothes are currently in the machines.

  2. 02

    Generate communication templates

    This capability produces ready-to-use messages for notifying residents about machine status or scheduling conflicts. You can use these to keep everyone in the loop without typing out the same updates repeatedly.

  3. 03

    Get coordination plan

    This capability builds a complete laundry schedule and execution guide for your entire household. It serves as the central roadmap for all laundry-related tasks.

  4. 04

    Validate schedule feasibility

    This capability checks if your proposed laundry times actually work given current machine availability and member schedules. It prevents you from planning a wash when no machines are free.

Real work

What teams actually run

01

Dormitory Management

Coordinate laundry times for dozens of students to ensure machines are used efficiently.

02

Co-living Coordination

Manage shared laundry duties in an apartment with multiple roommates.

03

Large Household Planning

Organize weekly laundry cycles for big families to avoid machine bottlenecks.

04

Conflict Mitigation

Use the validation capability to prove a requested time slot is already occupied.

One connector, every AI

Shared Laundry Coordination 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.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

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

You don't need a client to put Shared Laundry Coordination 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

984ms average. Fast in production.

Shared Laundry Coordination is checked daily against the live service.

Daily averagePeak 1086ms
Oct 14Today
Fastest day
886ms
Slowest day
1086ms
14-day trend
Stable-1%

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 Shared Laundry Coordination, so you can see the experience inside your AI.

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

Shared Laundry Coordination Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_tFfCkZR4aJAHOsxjbGQzV5PChlSEah2lmw4bE51m/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Shared Laundry Coordination capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "shared-laundry-coordination-plan-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_tFfCkZR4aJAHOsxjbGQzV5PChlSEah2lmw4bE51m/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 Shared Laundry Coordination in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Shared Laundry Coordination owners hand off.

This MCP is built for anyone managing shared living spaces where laundry access is a shared resource.

  • 01

    Property Managers

    Hand off the task of managing resident laundry schedules to an AI agent.

  • 02

    House Managers

    Use the MCP to coordinate chores and machine usage in large households.

  • 03

    Dormitory Coordinators

    Delegate the creation of laundry execution guides and resident notifications to your AI client.

FAQ

Questions Shared Laundry Coordination owners ask.

  • 01

    How does this MCP help with laundry conflicts?

    It resolves conflicts by checking machine availability against planned tasks and prioritizing hygiene preferences.

  • 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

    Does it help with notifying roommates?

    Yes, the capability includes a function to generate communication templates for notifying residents of machine status.

  • 04

    How do I know if a laundry time is actually available?

    You can use the validation capability to check if a proposed schedule fits within the actual machine and member availability.

  • 05

    What does load ownership mean?

    It is a feature that determines exactly which person is responsible for a specific laundry load to prevent confusion.

  • 06

    How does the server handle machine conflicts?

    The server uses get_coordination_plan to resolve conflicts by prioritizing hygiene preferences and available machine time slots.

  • 07

    Can I verify if my laundry schedule is possible?

    Yes, you can use the validate_schedule_feasibility capability to check if your proposed tasks fit within machine and member availability.

  • 08

    How is responsibility for a laundry load assigned?

    The calculate_load_ownership capability assigns responsibility based on the primary owner of the majority of items in a specific garment group.

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