MCP For Claude Marketplace
Cohort Retention Analytics

Cohort Retention Analytics MCP Connector for Claude

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Analyze cohort retention curves, average user lifetime, and benchmark performance against industry standards.

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

This MCP server provides specialized analytical tools for processing month-over-month cohort data. It allows AI agents to generate retention curves, calculate the expected average lifetime of users, and evaluate specific retention milestones. Additionally, you can compare your observed metrics against predefined industry benchmarks for categories like SaaS, E-Commerce, Gaming, and FinTech using the compare_performance_to_benchmark tool. By connecting this server via Vinkius Edge, agents can transform raw retention arrays into actionable product health insights.

retentioncohortsanalyticssaasbenchmarking

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

calculate_average_lifetime

Determines the expected number of months a user stays active

calculate_retention_curve

Generates a sequence of data points representing the decay of a cohort over．

evaluate_retention_milestone

Checks the specific retention percentage for a user at a requested point in time

compare_performance_to_benchmark

Compares a specific metric against the hardcoded industry standard for a chosen product category

See how to talk to your AI agent using Cohort Retention Analytics.

Calculate the retention curve for a cohort with these monthly rates: 1.0, 0.8, 0.6, 0.4.

The retention curve points are: Month 0: 100%, Month 1: 80%, Month 2: 60%, Month 3: 40%.

Is a 25% retention rate for E-Commerce considered good?

The status is 'At Risk' because the benchmark for E-Commerce is 0.30 (30%).

What is the expected lifetime if my retention rates are 1.0, 0.5, and 0.2?

The calculated average lifetime is 1.7 months.

Use the `calculate_retention_curve` tool by providing an array of retention rates where the first element is 1.0 (representing 100% retention at Month 0).

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