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Accelerator Alumni Exit Tracker

Accelerator Alumni Exit Tracker MCP Connector for Claude

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Analyze alumni performance metrics, exit rates, and exit type distributions for accelerator cohorts.

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

This MCP server provides specialized tools for accelerator programs to monitor and analyze the realized performance of their alumni companies. It tracks key liquidity events such as Acquisitions and IPOs, while also accounting for shutdowns. By using tools like get_exit_summary, get_exit_distribution, and get_exit_type_breakdown, managers can calculate exit rates, average exit values, and the velocity of exits within specific cohorts. The engine accounts for equity dilution from follow-on rounds to provide accurate realized value calculations.

acceleratoralumniexit-trackingventure-capitalperformance-metrics

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

get_exit_summary

Provides high-level performance metrics for a specific accelerator cohort

get_exit_type_breakdown

get_exit_distribution

g., Acquisition, IPO, etc.) Provides the distribution of exit types for a specific accelerator cohort

See how to talk to your AI agent using Accelerator Alumni Exit Tracker.

What is the performance summary for cohort '2021-spring'?

For the 2021-spring cohort, the exit rate is 45%, the average exit value is $12,500,000, and the total realized value is $5,625,000.

Show me the breakdown of exit types for cohort 'alpha-v1'.

Cohort 'alpha-v1' has 5 Acquisitions, 1 IPO, and 2 Shutdowns, resulting in a success rate of 83.3%.

How are exits distributed over time for cohort 'beta-2022'?

In cohort 'beta-2022', 2 exits occurred within 1-3 years, and 3 exits occurred within the 3-5 year range.

The engine calculates realized value by applying the final, diluted equity percentage held at the time of exit, accounting for all follow-on funding rounds.

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