MCP For Claude Marketplace
Vineyard Yield Estimator

Vineyard Yield Estimator MCP Connector for Claude

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Predict grape yields and harvest timelines using phenological models.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides precise viticulture intelligence. It allows AI agents to calculate expected grape mass per hectare and predict harvest windows using the Baggiolini phenology model. By analyzing vine architecture, pruning methods like CANE or SPUR, and canopy density, the system provides actionable yield metrics. It also assesses vineyard health and stability to help manage production risks.

vineyardgrapesyieldharvestphenology

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

predict_harvest_date

Predict the estimated harvest date based on phenological stages

calculate_yield_metrics

Calculate expected grape yield metrics per hectare

get_vineyard_health_summary

Get a summary of vineyard health and productivity

See how to talk to your AI agent using Vineyard Yield Estimator.

What is the expected yield for a vineyard with 2500 vines per hectare, 40 buds per vine, and 0.8 fruitfulness?

The estimated total yield for your vineyard is 12,500 kilograms per hectare.

When will the grapes be ready if they are currently in the VERAISON stage at 25 degrees Celsius?

The grapes are expected to reach the MATURITY stage in approximately 14 days.

How does my canopy density affect my yield risk?

With a canopy density of 0.7 and cane pruning, your productivity multiplier is 0.95 and the risk level is Low.

The `calculate_yield_metrics` tool uses vine density, bud count, fruitfulness, and berry weight to determine the total expected mass per hectare.

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