MCP For Claude Marketplace
Startup NPS Analysis Engine

Startup NPS Analysis Engine MCP Connector for Claude

A+

A specialized analytical engine for evaluating Net Promoter Score (NPS) health, statistical reliability, and segment performance.

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

This MCP server provides a suite of analytical tools to evaluate customer loyalty through Net Promoter Score (NPS) methodology. It allows AI agents to perform core NPS calculations using calculate_nps_core, assess the statistical significance of results with validate_statistical_reliability, compare performance across user groups via analyze_segment_performance, and evaluate survey validity through evaluate_survey_health.

npscustomer-loyaltystatisticssurvey-analysisbusiness-metrics

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

analyze_segment_performance

Each object must contain segmentName, promoterPercentage, passivePercentage, and detractorPercentage. Compares NPS metrics across different user segments

calculate_nps_core

They must sum to 100. Calculates the primary NPS metric from raw percentage distributions

evaluate_survey_health

Assesses the impact of response rates and potential bias on the validity of the results

validate_statistical_reliability

Determines if the current NPS score is statistically significant based on sample size

See how to talk to your AI agent using Startup NPS Analysis Engine.

Calculate the NPS score for 60% promoters, 30% passives, and 10% detractors.

The NPS score is 50, which is categorized as Positive.

Is an NPS score of 45 statistically significant with 500 responses out of a population of 1000?

Yes, the result is statistically significant with a margin of error that maintains the sentiment category.

Assess the survey health for 100 responses out of 1000 invited, with 15% detractors.

The response rate is 10%, and the bias risk is High due to the low response rate.

The score is calculated by subtracting the percentage of Detractors from the percentage of Promoters.

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