MCP For Claude Marketplace
Wine Email Campaign Optimizer

Wine Email Campaign Optimizer MCP Connector for Claude

A+

Optimize wine email engagement through data-driven send times, A/B test priorities, and segment targeting.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides an intelligence layer for wine marketing professionals to maximize email performance. By analyzing engagement metrics and segment data, it provides actionable insights through tools like get_optimal_send_times to find the best delivery windows, prioritize_ab_tests to identify high-impact variables, recommend_segment_targeting for precise audience selection, and analyze_list_health to maintain deliverability. It connects your AI agents directly to your campaign performance data via Vinkius Edge.

email-marketingwineoptimizationsegmentationdeliverability

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

get_optimal_send_times

Determines the best time of day and day of the week to send emails to specific audience segments

prioritize_ab_tests

Identifies which email elements should be tested next to maximize campaign impact

recommend_segment_targeting

Suggests which customer segments should receive specific campaign types to increase conversions

analyze_list_health

Evaluates the quality of the email list to prevent deliverability issues

See how to talk to your AI agent using Wine Email Campaign Optimizer.

What is the best time to send an email to my 'High Engagement' segment?

The recommended window for the High Engagement segment is Tuesday between 10:00 AM and 12:00 PM with a confidence score of 0.85.

Which A/B test should I prioritize for my current campaign?

You should prioritize testing 'subject_line' as it has the highest expected lift for your current metrics.

Is my email list healthy?

Your list health score is 72. Identified risks include a high bounce rate and declining engagement in the last 30 days.

The `get_optimal_send_times` tool analyzes historical engagement density within specific audience segments to identify the most effective time windows.

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