MCP For Claude Marketplace
Garment Size Averaging

Garment Size Averaging MCP Connector for Claude

A+

Convert qualitative garment sizes into quantitative numeric averages.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides tools to bridge the gap between qualitative garment labels and quantitative manufacturing data. It allows AI agents to perform statistical analysis on garment collections using tools like calculate_average_size, get_size_distribution, and get_size_mapping. By mapping labels like 'Small' or 'Large' to a numeric scale, it enables precise inventory and production planning.

garmentsizingstatisticsinventorymanufacturing

4 tools expose this connector's capabilities to your AI agent.

get_size_distribution

Provides a frequency count of each size within a collection

get_size_mapping

Retrieves the numeric scale used to represent qualitative size labels

validate_size_label

Checks if a specific size label is valid within a given region

calculate_average_size

Computes the mean numeric size for a given collection of garments

See how to talk to your AI agent using Garment Size Averaging.

What is the average size for these garments: ['Small', 'Medium', 'Large']?

The average numeric size for the provided garments is 2.0.

Show me the distribution of sizes in this list: ['Small', 'Small', 'Medium']

The size distribution is: Small: 2, Medium: 1.

Is 'Extra Large' a valid size in the US region?

Yes, 'Extra Large' is a valid size label for the US region.

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

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