MCP For Claude Marketplace
Pecan Quality & Yield Predictor

Pecan Quality & Yield Predictor MCP Connector for Claude

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Predict pecan kernel quality, USDA grades, and yield impacts from water stress.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides tools to analyze pecan crop quality and economic value. Use get_kernel_metrics to calculate meat yield and efficiency from nut density and fill. Use determine_grade_and_price to assign USDA grades like Fancy or Standard based on kernel color and size. Additionally, simulate_yield_impact predicts how environmental water stress affects final kernel fill and expected meat weight.

pecanagricultureyieldusdacrop-analysis

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

get_kernel_metrics

Calculates the primary physical yield metrics from raw nut data

determine_grade_and_price

Assigns a USDA grade and an expected market price based on quality indicators

simulate_yield_impact

Predicts how environmental water stress during the growth cycle will impact final kernel fill and yield

See how to talk to your AI agent using Pecan Quality & Yield Predictor.

Calculate the yield metrics for a batch with 100 nuts per pound, 45% kernel percentage, and 85% kernel fill.

The expected meat yield is 0.45 lbs per pound of whole nuts, with an efficiency score of 0.85.

What is the USDA grade and price for light_brown kernels with 50% kernel percentage and 80 nuts per pound?

The USDA grade is Fancy, with an expected price of $4.50 per pound.

Predict the yield impact if there is a water stress level of 0.4 for a nut set of 5000 nuts with a baseline fill of 90%.

The predicted kernel fill is 72% and the predicted meat yield is reduced accordingly, with a High risk level.

You can use the `get_kernel_metrics` tool by providing the nut count per pound, the kernel percentage, and the kernel fill percentage.

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