Slow Fashion Material Impact

Slow Fashion Material Impact MCP Connector for Claude

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Calculate and compare the environmental footprint of garments based on material mass, fiber type, and lifecycle longevity.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides a lifecycle assessment tool for analyzing the environmental impact of clothing. It calculates the total footprint of a garment by analyzing material mass, production energy, water usage, and transport distance. By incorporating longevity metrics like expectedWears, repairCycles, and recoveryRate, it provides critical data on both impact per garment and impact per wear. Users can use get_fiber_impact_factors to find standardized coefficients, compare_garment_impacts to rank different items, and simulate_longevity_scenario to predict how repair habits affect long-term sustainability.

environmentcarbon-footprinttextilesslow-fashionecology

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

simulate_longevity_scenario

calculate_garment_impact

compare_garment_impacts

get_fiber_impact_factors

See how to talk to your AI agent using Slow Fashion Material Impact.

Calculate the impact of an organic cotton shirt weighing 0.2kg, with 50kWh energy, 500L water, and 100km transport, expected to be worn 50 times.

The total garment impact is 12.45 and the impact per wear is 0.249.

Compare a polyester shirt and an organic cotton shirt with the same mass and production energy.

The organic cotton shirt has a lower impact per wear than the polyester shirt.

How would increasing repairs from 0 to 3 affect a garment that is worn 40 times?

Increasing repairs to 3 will reduce the impact per wear by 15%.

The impact per wear is the total garment impact divided by the total lifetime uses, which includes the base expected wears plus any additional uses gained through `repairCycles`.

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