MCP For Claude Marketplace
AI Feature Value Realization

AI Feature Value Realization MCP Connector for Claude

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Quantify the time to value and adoption efficiency of your AI features.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides the analytical engine to measure how quickly users derive business impact from AI features. By connecting your AI interaction data to Vinkius, you can calculate the median time to value (TTV), monitor value realization rates, and identify specific acceleration strategies. Use calculate_ttv_metrics to get core performance indicators, analyze_complexity_impact to understand how use case difficulty affects adoption, get_acceleration_recommendations for actionable improvement steps, and validate_milestone_readiness to track user progress toward success milestones.

ttvsaasai-metricsproduct-analyticsadoption

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

analyze_complexity_impact

Determines how much the complexity of a specific use case will naturally extend the expected time to value

calculate_ttv_metrics

Calculates the primary performance indicators for AI feature value delivery

get_acceleration_recommendations

Suggests specific ways to shorten the time to value based on current performance

validate_milestone_readiness

Checks if a user is on track to reach a milestone based on their current interaction history

See how to talk to your AI agent using AI Feature Value Realization.

Calculate the TTV metrics for a low complexity use case where the first use was 2024-01-01, the milestone was reached on 2024-01-10, and the confirmation rate is 85% for a standard_user.

The median time to value is 9 days, with a value realization rate of 85%. Recommended acceleration strategies include providing automated batch processing for standard users.

Is a user on track for a high complexity milestone if they have been using the feature for 15 days and they are an executive?

The user is currently on track. The estimated days to milestone is 25 days, with a low urgency level.

What is the impact of complexity for a power_user on a medium complexity task?

The expected delay multiplier is 1.2x, and the recommended onboarding intensity is moderate.

TTV is calculated as the number of days between the first recorded AI interaction and the date the predefined value milestone is achieved using `calculate_ttv_metrics`.

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