MCP For Claude Marketplace
AI Feature Adoption Analytics

AI Feature Adoption Analytics MCP Connector for Claude

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Calculate AI feature adoption rates, velocity, stickiness, and funnel efficiency.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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This MCP server provides specialized analytics for measuring how AI features integrate into SaaS products. It allows AI agents to calculate critical metrics such as adoption rates, time to adoption, and feature stickiness by accounting for feature complexity and user education levels. Use get_adoption_summary to find the user gap, calculate_adoption_velocity to estimate time to adoption, measure_feature_stickiness to evaluate long-term engagement, and get_funnel_efficiency to identify user drop-off points in the adoption journey.

ai-metricsadoptionsaas-analyticsuser-engagementproduct-growth

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

get_funnel_efficiency

Identifies where users are dropping off in the journey from discovery to adoption

get_adoption_summary

Provides a high-level overview of how well an AI feature is being adopted relative to the user base

measure_feature_stickiness

Evaluates the long-term engagement and retention qualities of the AI feature

calculate_adoption_velocity

Determines how quickly users are moving through the adoption funnel

See how to talk to your AI agent using AI Feature Adoption Analytics.

What is the adoption rate for a feature with 500 users out of 2000 total users?

The adoption rate is 25%, and there is a user gap of 1500 users.

Calculate the adoption velocity for a feature with a 70% discovery rate, 3 activation steps, a complexity of 5, and an education level of 4.

The estimated time to adoption is 3.75 units with an effective complexity of 1.25.

How sticky is a feature with 1000 users and a 60% retention rate, given a complexity of 3?

The stickiness score is 42.0 and the engagement health is Medium.

You can calculate adoption rates, adoption velocity (time to adoption), feature stickiness, and funnel efficiency.

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