MCP For Claude Marketplace
Grass Hay Quality Predictor

Grass Hay Quality Predictor MCP Connector for Claude

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Predict nutritional profiles and dairy performance from hay maturity and harvest conditions.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides tools to estimate the nutritional profile and dairy performance potential of grass hay. By analyzing biological maturity stages and environmental factors, you can use predict_hay_nutrients to calculate CP, NDF, ADF, TDN, and RFV. You can also use estimate_milk_yield to determine milk production potential, evaluate_harvest_risk to assess weather-related risks, and compare_quality_scenarios to evaluate different harvest timing options.

hayforagenutritiondairyagriculture

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

evaluate_harvest_risk

Assess the risk level of a planned harvest

predict_hay_nutrients

Calculate the baseline nutritional profile based on biological and environmental factors

compare_quality_scenarios

Compare two different harvest scenarios to see the impact on quality

estimate_milk_yield

Determine how much milk can be produced from a specific quantity of hay

See how to talk to your AI agent using Grass Hay Quality Predictor.

What will the nutritional profile be for ryegrass in the boot stage with optimal drying?

The predicted profile for ryegrass at the boot stage is 18% CP, 32% NDF, 24% ADF, 65% TDN, and an RFV of 110.

How much milk can I expect from 10 tonnes of hay with 15% CP and 60% TDN for a highYield cow?

Based on the nutrient profile, 10 tonnes of this hay will produce 2,450 litres of milk.

Is there a high risk of harvest failure if I cut during late heading with 20mm of rain expected?

Yes, the risk level is high because the late heading stage combined with 20mm of rainfall increases the likelihood of nutrient leaching and quality degradation.

Predictions are based on biological maturity models and environmental impact factors like rain leaching. Use `predict_hay_nutrients` for the most accurate baseline estimates.

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