Wine Blending Session Planner

Wine Blending Session Planner MCP Connector for Claude

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Optimizes wine blending trials and sensory evaluation logistics.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides a strategic planning engine for wine blending. It allows AI agents to calculate optimal trial formulations using get_trial_formulations, determine necessary component volumes with calculate_component_requirements, evaluate past blending trends via analyze_blend_history, and organize tasting sessions through prepare_sensory_logistics.

wineblendingoptimizationsensoryplanning

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

analyze_blend_history

Evaluates previous blending results to inform future trial selection and identify trends

calculate_component_requirements

Determines the total volume of each component wine needed to execute a planned series of trials

get_trial_formulations

Generates a list of potential blend formulations that satisfy target specifications while optimizing for trial efficiency

prepare_sensory_logistics

Organizes the physical tasting requirements for a session

See how to talk to your AI agent using Wine Blending Session Planner.

Generate a list of blend formulations for Cabernet Sauvignon and Merlot to hit a specific target profile.

I have generated three trial formulations that optimize for maximum coverage of your target profile using the available Cabernet Sauvignon and Merlot components.

How much Merlot do I need for 10 tasters for the planned trials?

Based on the trial plan and a taster count of 10, you will need 4.5 liters of Merlot in total.

What was the convergence rate for the last blending project?

The convergence rate for the last project was 0.85, indicating a rapid movement toward the target specifications.

The `get_trial_formulations` tool uses mathematical models to select a subset of formulations that maximizes coverage of the target blend space, minimizing the total number of tastings required.

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