MCP For Claude Marketplace
Hemp Fiber Quality Predictor

Hemp Fiber Quality Predictor MCP Connector for Claude

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Predicts hemp fiber quality, yield, and industrial suitability from plant growth data.

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

This MCP server provides specialized tools to analyze hemp fiber production. By inputting plant characteristics like stem diameter, height, and harvest timing, users can use predict_fiber_properties to determine physical qualities such as tensile strength and cellulose content. The server also includes evaluate_application_suitability to categorize fibers for textile, composite, or construction use, analyze_growth_maturity to check harvest timing, and calculate_yield_potential to estimate usable fiber mass.

hempfiberagriculturetextilebiomass

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

analyze_growth_maturity

Evaluates whether the plant was harvested at an optimal stage for fiber production

calculate_yield_potential

Estimates the total amount of usable fiber that can be extracted from a given stem

predict_fiber_properties

Calculates the primary physical and chemical qualities of the hemp fiber based on plant growth and processing parameters

evaluate_application_suitability

Determines the most appropriate industrial use for the predicted fiber based on its properties

See how to talk to your AI agent using Hemp Fiber Quality Predictor.

Predict the fiber properties for a hemp plant with a 15mm stem diameter, 200cm height, harvested at 110 days, with 5 days of retting for the 'Industrial' variety.

The predicted fiber content is 35%, fiber length is 25cm, tensile strength is 450 MPa, and cellulose content is 65%.

Is a fiber with 40% cellulose, 30cm length, and 500 MPa tensile strength good for textiles?

Yes, these properties are highly suitable for Textile applications.

Calculate the yield potential for a 12mm diameter stem, 180cm height, and 0.85 decortication efficiency.

The estimated fiber mass is 42.5g with a waste ratio of 0.15.

You can use `predict_fiber_properties` to find the fiber length and tensile strength, then pass those values to `evaluate_application_suitability` to confirm textile grade suitability.

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