MCP For Claude Marketplace
Wine Sommelier ROI Analyzer

Wine Sommelier ROI Analyzer MCP Connector for Claude

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Calculate the financial impact and ROI of professional sommelier training programs.

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

This MCP server provides specialized financial modeling tools to evaluate the economic impact of professional wine expertise. It allows users to calculate expected brand presence using get_placement_impact, determine financial growth via get_revenue_performance, and generate comprehensive financial overviews with get_program_roi_summary. Additionally, it can project long-term value through get_lifecycle_forecast, accounting for staff turnover and program renewal rates.

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

get_lifecycle_forecast

Projects the long-term value of the program considering turnover and renewals

get_placement_impact

Calculates the expected increase in brand presence and footprint

get_program_roi_summary

Provides a complete financial overview of the program's effectiveness

get_revenue_performance

Calculates the financial growth driven by volume and margin improvements

See how to talk to your AI agent using Wine Sommelier ROI Analyzer.

What would be the expected increase in wine placements if we have 50 current placements and a 15% lift from training?

The expected number of placements would be 57.5, representing a growth of 7.5 placements.

Calculate the ROI summary for a $5,000 program that generates $2,000 in incremental margin, with a 10% turnover rate and 50% renewal rate.

The program results in a net profit of $1,350, an ROI of 27%, and a payback period of 3 months.

Forecast the five-year value for a $10,000 investment that yields $3,000 annual margin, with 15% turnover and 80% renewal.

The first-year value is $3,000, and the five-year cumulative value is $11,450, with an attrition impact score of 0.15.

The `get_program_roi_summary` and `get_lifecycle_forecast` tools incorporate the turnover rate to adjust net profit and long-term value, reflecting the loss of expertise when trained staff leave.

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