MCP For Claude Marketplace
AI Power User Analytics Engine

AI Power User Analytics Engine MCP Connector for Claude

A+

Quantify AI power user density, value multipliers, and feature depth.

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

This MCP server provides an analytics engine for SaaS platforms to measure the impact of AI-driven power users. It allows agents to calculate power user density using get_power_user_density, determine the economic impact via calculate_value_multiplier, evaluate workflow integration with analyze_feature_depth, and forecast user growth using predict_conversion_rate. It is designed to help product teams understand how users transition from surface usage to complex, multi-step AI workflows.

ai-metricsuser-segmentationsaas-analyticspower-usersengagement

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

analyze_feature_depth

Evaluates how deeply users are integrating AI into their workflows

get_power_user_density

Determines what portion of the user base qualifies as power users

predict_conversion_rate

Estimates the likelihood of standard users becoming power users based on their current trajectory

calculate_value_multiplier

Quantifies the relative importance of power users to the platform's overall utility

See how to talk to your AI agent using AI Power User Analytics Engine.

What is our current power user density if we have 50 power users out of 1000 total users with a threshold of 10?

The power user density is 5.0%, and the status is healthy.

Analyze the feature depth for these user counts: [1, 5, 10, 2, 8].

The average feature depth is 5.2, which indicates a Medium distribution.

Calculate the value multiplier if power users have a value of 500, standard users have 50, with 100 power users and 900 standard users.

The value multiplier is 10.0, with a value gap of 450.

You can calculate power user density, the value multiplier between user segments, feature depth distribution, and predicted conversion rates.

Related Connectors

AI Feature ROI Analyzer

AI Feature ROI Analyzer MCP

4 tools Official

Evaluate the financial efficiency and pricing viability of AI features at the user level.

A+ View details →
Feature Adoption Analytics

Feature Adoption Analytics MCP

4 tools Official

Quantify feature success through adoption velocity, saturation estimates, and retention impact modeling.

A+ View details →
AI Feature Onboarding Analyzer

AI Feature Onboarding Analyzer MCP

4 tools Official

Analyze AI feature adoption efficiency using funnel metrics and TTV analysis.

A+ View details →
PE AI Acquisition Synergy Analyzer

PE AI Acquisition Synergy Analyzer MCP

4 tools Official

Quantify strategic and financial benefits of AI-focused acquisitions.

A+ View details →