Accelerator Graduation Metrics

Accelerator Graduation Metrics MCP Connector for Claude

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Calculates program completion, attrition, and graduation time metrics for accelerator cohorts.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides deep insights into accelerator program performance. It allows AI agents to analyze cohort success by calculating graduation rates, drop rates, and time-to-graduation distributions. Using tools like get_graduation_metrics, get_completion_time_distribution, and analyze_attrition_drivers, agents can identify why companies exit programs and how program intensity affects outcomes.

acceleratormetricsattritiongraduationcohort-analysis

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

analyze_attrition_drivers

Pass a boolean value for includeFitAnalysis. Analyze the primary reasons for company attrition in a specific cohort

get_completion_time_distribution

Provide a valid cohort ID to execute the query. Get the distribution of completion times for a specific cohort

get_graduation_metrics

Use this tool only for high-level metrics. Get high-level success and attrition percentages for a specific cohort

See how to talk to your AI agent using Accelerator Graduation Metrics.

What is the graduation rate for cohort C2023?

The graduation rate for cohort C2023 is 85%, with a drop rate of 15%.

How long does it take for companies in cohort C2023 to graduate?

The average completion time for cohort C2023 is 6 months, with a median of 5.5 months.

Why are companies dropping out of cohort C2023?

The primary reason for attrition in cohort C2023 is poor selection fit, with a correlation score of 0.75.

You can track graduation rates, drop rates, average completion times, and primary drivers of attrition using the available tools.

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