MCP For Claude Marketplace
AI Feature NPS Impact Engine

AI Feature NPS Impact Engine MCP Connector for Claude

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Quantify how AI features drive or drag your product's NPS.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides a specialized analytics engine to measure the specific impact of AI features on Net Promoter Score (NPS). By using tools like calculate_nps_lift and evaluate_detractor_risk, you can attribute sentiment shifts to AI usage, identify high-risk user segments, and translate satisfaction data into business value. It helps product teams understand if AI is a core driver of loyalty or a source of friction.

npsai-impactsentiment-analysisuser-retentionproduct-analytics

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

calculate_nps_lift

Determines how much the AI feature is driving or dragging the overall product NPS

quantify_feature_value

Translates NPS and satisfaction data into a business-centric Value Perception metric

aggregate_segment_impact

Provides a high-level summary of how AI is impacting different user demographics

evaluate_detractor_risk

Predicts the likelihood of users becoming detractors based on their specific AI-related grievances

See how to talk to your AI agent using AI Feature NPS Impact Engine.

Calculate the NPS lift for an Enterprise user in a Data Analysis workflow where NPS with AI is 50 and without AI is 30.

The NPS lift is 20, and the AI feature is acting as a Driver for this segment.

What is the detractor risk for a daily user with an AI satisfaction score of 2 and reasons including 'hallucinations'?

The risk level is Critical, with 'hallucinations' identified as the primary risk driver.

Determine the value perception for a feature with an NPS lift of 15 and AI satisfaction of 80 in a Content Creation use case.

The feature is categorized as an Essential core value driver.

The `calculate_nps_lift` tool calculates the absolute difference between the NPS of users interacting with the AI feature and the baseline NPS of users who do not.