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Connect Textile Care Lifecycle Planner 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. Track the true cost and footprint of your wardrobe.

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 Textile Care Lifecycle Plan.

  1. 01

    Get maintenance efficiency score

    This capability compares how efficient a garment's care plan is against a standard baseline. It helps you see if your maintenance routine is performing well compared to typical standards.

  2. 02

    Get durability threshold analysis

    This capability calculates the maximum number of wash cycles you can run before hitting a specific budget limit. It's useful for planning long-term maintenance costs.

  3. 03

    Get lifecycle cost summary

    This capability calculates the total projected cost and resource use for a garment over its entire life. It covers everything from washing to repairs.

  4. 04

    Get resource intensity breakdown

    This capability quantifies the environmental impact by breaking down the usage of water versus energy. It shows you which resource is driving your footprint.

Real work

What teams actually run

01

Long-term Budgeting

Calculate how much a high-end garment will cost to maintain over five years of use.

02

Environmental Auditing

Compare the water and energy footprint of different laundry methods.

03

Durability Testing

Determine the maximum number of washes a budget can support before repairs are needed.

04

Care Plan Optimization

Check if your current washing and drying routine is more or less efficient than the standard.

One connector, every AI

Textile Care Lifecycle Plan 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 Textile Care Lifecycle Plan 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

865ms average. Fast in production.

Textile Care Lifecycle Plan is checked daily against the live service.

Daily averagePeak 953ms
Oct 9Today
Fastest day
633ms
Slowest day
953ms
14-day trend
Slowing+48%

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 Textile Care Lifecycle Plan, so you can see the experience inside your AI.

It does not authenticate your account with Textile Care Lifecycle Plan. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Textile Care Lifecycle Plan Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_mEOBuLoAtJS6ftO8DnLWtWKaXoVObXPiA8kacUVg/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 — Textile Care Lifecycle Plan capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "textile-care-lifecycle-planner-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_mEOBuLoAtJS6ftO8DnLWtWKaXoVObXPiA8kacUVg/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 Textile Care Lifecycle Plan in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Textile Care Lifecycle Plan owners hand off.

This MCP is built for anyone managing textile lifecycles or analyzing the sustainability of consumer goods.

  • 01

    Sustainability Analysts

    They hand off resource intensity data to their AI to quantify environmental footprints.

  • 02

    Wardrobe Managers

    They use the capability to project long-term maintenance costs for large collections.

  • 03

    Textile Researchers

    They use the efficiency scoring to compare different care methods for various fabrics.

FAQ

Questions Textile Care Lifecycle Plan owners ask.

  • 01

    What can this MCP calculate?

    It calculates total lifetime costs, resource intensity for water and energy, durability limits based on budget, and maintenance efficiency scores.

  • 02

    How does it handle environmental impact?

    It uses a resource intensity breakdown to show the specific impact driven by water versus energy usage.

  • 03

    Can I use this to plan a laundry budget?

    Yes, you can use the durability threshold analysis to find out exactly how many wash cycles you can afford before hitting your budget limit.

  • 04

    Which AI clients work with this MCP?

    This MCP works with any compatible client including Claude, Cursor, Windsurf, and VS Code.

  • 05

    Do I need to host the MCP myself?

    No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately after you connect.

  • 06

    How can I calculate the total cost of owning a garment?

    You can use the get_lifecycle_cost_summary capability by providing the annual wash frequency, expected lifespan, and cost per wash.

  • 07

    Can I compare water usage against energy usage?

    Yes, the get_resource_intensity_breakdown capability provides the ratio of water impact versus energy impact.

  • 08

    How do I know if my garment care plan is efficient?

    Use get_maintenance_efficiency_score to receive a qualitative rating and a normalized efficiency score.

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