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Connect Pre Storage Cleaning Decision 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. Decide exactly how to prep your clothes for storage.

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 Pre-Storage Decision Engine.

  1. 01

    Analyze garment needs

    This capability evaluates a single piece of clothing to figure out its required treatment path.

  2. 02

    Check resource feasibility

    This capability checks if you have the necessary cleaning supplies and enough time to finish the task before your deadline.

  3. 03

    Get batch status

    This capability provides a high-level summary of all the decisions made for a specific group of garments.

  4. 04

    Validate household compliance

    This capability ensures your proposed cleaning method follows your specific household rules and care requirements.

Real work

What teams actually run

01

Seasonal Wardrobe Swaps

Decide which winter coats need dry cleaning before they go into storage bins.

02

High-Value Item Care

Determine if a delicate silk or wool item needs repair or professional cleaning.

03

Large Batch Transitions

Track the progress of an entire closet's worth of items as they move through cleaning and repair.

04

Time-Sensitive Packing

Check if you have enough time to air-dry or clean an item before a move or trip.

One connector, every AI

Pre-Storage Decision Engine 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 Pre-Storage Decision Engine 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

972ms average. Fast in production.

Pre-Storage Decision Engine is checked daily against the live service.

Daily averagePeak 1111ms
Oct 14Today
Fastest day
798ms
Slowest day
1111ms
14-day trend
Slowing+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 Pre-Storage Decision Engine, so you can see the experience inside your AI.

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

Pre-Storage Decision Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_rEBp2ICOMZkfkLQWw02DxwJ2ZblsM1SmHzfVHGIH/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 — Pre-Storage Decision Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "pre-storage-cleaning-decision-plan-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_rEBp2ICOMZkfkLQWw02DxwJ2ZblsM1SmHzfVHGIH/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 Pre-Storage Decision Engine in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Pre-Storage Decision Engine owners hand off.

This MCP is built for anyone managing large-scale wardrobe changes or high-value clothing collections.

  • 01

    Home Organizers

    They hand off batch status tracking and cleaning logic to the AI.

  • 02

    Wardrobe Managers

    They use the capability to validate cleaning methods against specific care rules.

  • 03

    Estate Managers

    They rely on the engine to decide which items need immediate professional attention.

FAQ

Questions Pre-Storage Decision Engine owners ask.

  • 01

    What can this MCP do for my laundry?

    It acts as a decision engine that tells you if clothes need cleaning, repair, or just air-drying before you store them.

  • 02

    Can I use this with Claude?

    Yes, you can connect this MCP to any compatible client like Claude, Cursor, or Windsurf through Vinkius.

  • 03

    Does it help with repairing clothes?

    Yes, it can identify when an item needs structural repair instead of just being cleaned.

  • 04

    How does it know if I have enough time to clean something?

    The check_resource_feasibility capability specifically validates if you can finish a task within your given deadline.

  • 05

    Can I set specific rules for my house?

    Yes, the validate_household_compliance capability ensures the AI's suggestions follow your specific rules.

  • 06

    How does the capability decide if a garment needs cleaning?

    The analyze_garment_needs capability evaluates the care label instructions against recent wear history and visible notes to determine the safest treatment path.

  • 07

    Can I use this to check if my local dry cleaner is a viable option?

    Yes. By using check_resource_feasibility, you can input your available services and the time remaining before your storage deadline to see if professional cleaning is feasible.

  • 08

    What happens if a cleaning method violates my household rules?

    The validate_household_compliance capability will identify conflicts between proposed cleaning methods and your specific constraints, such as 'no wool in the dryer'.

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