MCP For Claude Marketplace
Startup Employee Retention Analytics

Startup Employee Retention Analytics MCP Connector for Claude

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Analyze workforce stability, turnover trends, and equity-driven churn risk.

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

This MCP server provides specialized analytics for startup workforce management. It connects AI agents to core stability metrics, allowing for deep analysis of employee lifecycle patterns. Use calculate_retention_metrics to determine core health indicators like retention and turnover rates. Evaluate lifecycle churn concentration with analyze_tenure_distribution, or predict upcoming turnover spikes using estimate_equity_risk by analyzing proximity to vesting milestones. Finally, generate high-level assessments with get_workforce_stability_report to understand how market conditions impact your stability score.

retentionturnoverstartupworkforceequity

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

estimate_equity_risk

Predicts potential upcoming turnover based on the proximity of employees to their vesting milestones

get_workforce_stability_report

Synthesizes metrics, tenure, and market factors into a high-level stability assessment

calculate_retention_metrics

Provides the core health indicators of the workforce for a given period

analyze_tenure_distribution

Evaluates where in the employee lifecycle churn is most concentrated

See how to talk to your AI agent using Startup Employee Retention Analytics.

Calculate our retention metrics. We started with 50 employees, 5 left (2 voluntary, 3 involuntary), and we hired 10 new people.

Your retention rate is 90%, your turnover rate is 10%, and your net headcount change is +5.

Analyze our tenure distribution. Our current employees have been with us for 12, 24, 36, and 48 months.

The average tenure is 30 months, and the cohort health is stable.

What is our equity risk? Current tenures are 11, 23, and 35 months. Vesting happens every 12 months and the market volatility index is 0.5.

The risk level is high with a predicted churn probability of 0.75.

The `calculate_retention_metrics` tool calculates the retention rate as the percentage of the starting headcount that remained at the end of the period.

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