How does this MCP handle 'Small' or 'Large' labels?

It uses a mapping capability to convert those text labels into a numeric scale that your AI can perform math on.

Can I use this with Claude or Cursor?

Yes, this MCP works with any MCP-compatible client including Claude, Cursor, and Windsurf.

Does it support different sizing regions?

Yes, it includes a capability to validate if a size label is correct for a specific region.

What kind of math can my agent do with this?

Your agent can calculate the mean size of a collection or the frequency distribution of sizes.

Do I need to host this myself?

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

How do I calculate the average size of a batch of clothes?

You can use the calculate_average_size capability by providing an array of size labels.

Can I use different regional standards?

Yes, most capabilities allow you to specify a region like 'US' or 'EU' to ensure the correct numeric mapping is applied.

How can I see the frequency of each size in my inventory?

Use the get_size_distribution capability to receive a count of every size label provided in your list.

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Connect Garment Size Averaging to ChatGPT, Claude and Gemini

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. Convert clothing labels into precise manufacturing numbers.

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.

How Vinkius works: one connection, every tool, in any AI

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.

Complete set · 4 capabilities

The complete Garment Size Averaging capability set.

These are the exact actions your AI can choose when you ask it to work with Garment Size Averaging.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Garment Size Averaging.

01
Get size distribution
Counts how many of each size exists in a specific collection.
02
Get size mapping
Retrieves the numeric scale that represents qualitative labels like Small or Large.
03
Validate size label
Checks if a specific size label is recognized within a chosen region.
04
Calculate average size
Computes the mean numeric value for a set of garments.

One connector, every AI

Garment Size Averaging 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 Garment Size Averaging 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

1057ms average. Fast in production.

Garment Size Averaging is checked daily against the live service.

Daily averagePeak 1208ms

Sep 22Today

Fastest day: 878ms
Slowest day: 1208ms
14-day trend: Improving-20%

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 Garment Size Averaging, so you can see the experience inside your AI.

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

Garment Size Averaging Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_Oez7eKSv4usdH880wzVno5pVT7w2QvvrRZwotctb/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 — Garment Size Averaging capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "garment-size-averaging-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Oez7eKSv4usdH880wzVno5pVT7w2QvvrRZwotctb/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? How to give Claude access to Garment Size Averaging

See all the AI clients this connector works with ↑

Who it's for

Built for the work Garment Size Averaging owners hand off.

This is built for professionals managing apparel supply chains and inventory.

01
Inventory Managers
They hand off size lists to the AI to calculate stock levels.
02
Production Planners
They use the AI to turn size labels into numeric manufacturing targets.
03
Supply Chain Analysts
They use the AI to analyze size distributions across different regions.

FAQ

Questions Garment Size Averaging owners ask.

01
How does this MCP handle 'Small' or 'Large' labels?
It uses a mapping capability to convert those text labels into a numeric scale that your AI can perform math on.
02
Can I use this with Claude or Cursor?
Yes, this MCP works with any MCP-compatible client including Claude, Cursor, and Windsurf.
03
Does it support different sizing regions?
Yes, it includes a capability to validate if a size label is correct for a specific region.
04
What kind of math can my agent do with this?
Your agent can calculate the mean size of a collection or the frequency distribution of sizes.
05
Do I need to host this myself?
No, Vinkius hosts and manages the MCP so it is ready to use immediately after connection.
06
How do I calculate the average size of a batch of clothes?
You can use the calculate_average_size capability by providing an array of size labels.
07
Can I use different regional standards?
Yes, most capabilities allow you to specify a region like 'US' or 'EU' to ensure the correct numeric mapping is applied.
08
How can I see the frequency of each size in my inventory?
Use the get_size_distribution capability to receive a count of every size label provided in your list.

Explore

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Connect Garment Size Averaging to Claude, Cursor, ChatGPT & more

Connect Garment Size Averaging to ChatGPT, Claude and Gemini

Your AI does the work. We keep it safe and sound.