# Track Alumni Performance and Exit Metrics. AI Agent Connect

> This MCP 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. You can use the available tools to calculate exit rates, average exit values, and the velocity of exits within specific cohorts. The system accounts for equity dilution from follow-on rounds, giving you accurate realized value calculations.

## Overview
- **Category:** finance
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_Op2kipNO52aIU8wDzWkeKbjLBP7NDUOly6679L6p/ai-agent-connect
- **Tags:** accelerator, alumni, exit-tracking, venture-capital, performance-metrics

## Description

Managing an accelerator means tracking more than just initial investment. You need to know the true realized value of the companies that graduate. This MCP gives you the data to do that. It specializes in monitoring the performance of alumni companies, focusing on key liquidity events like Acquisitions, IPOs, and shutdowns. Instead of just giving you raw numbers, the system calculates metrics like exit rates and average exit values, adjusting for equity dilution from follow-on rounds so your data is accurate. You can quickly determine the velocity of exits across specific cohorts, helping you benchmark success and understand the overall health of your program. It’s built for finance professionals who need hard metrics, not general reports.

## Tools

### get_exit_distribution
g., Acquisition, IPO, etc.)

Provides the distribution of exit types for a specific accelerator cohort

### get_exit_summary
Provides high-level performance metrics for a specific accelerator cohort

### get_exit_type_breakdown


## Prompt Examples

**Prompt:** 
```
What is the performance summary for cohort '2021-spring'?
```

**Response:** 
```
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.
```

**Prompt:** 
```
Show me the breakdown of exit types for cohort 'alpha-v1'.
```

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

**Prompt:** 
```
How are exits distributed over time for cohort 'beta-2022'?
```

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

## Capabilities

### Calculate overall performance
Use the summary tool to get high-level metrics like total realized value and average exit value for any cohort.

### Determine exit type mix
Run the distribution tool to see the mix of exit types (e.g., how many IPOs versus Acquisitions) in a specific group.

### Analyze specific exit categories
Use the breakdown tool to get a detailed count of every exit type that occurred in the cohort.

### Account for dilution
The MCP calculates realized value by factoring in equity dilution from follow-on funding rounds.

### Track exit velocity
Determine how quickly exits are happening by analyzing the timing of events across different cohorts.

## Use Cases

### Reviewing a specific cohort's success rate
You ask for the performance summary of the '2021-spring' cohort to see the total realized value and exit rate in one go.

### Comparing two graduation years
You compare the exit distribution of 'alpha-v1' against 'beta-2022' to see if one year had more Acquisitions than the other.

### Assessing program health over time
You use the MCP to track how the average exit value has changed across five different accelerator cohorts.

### Modeling worst-case scenarios
You analyze the breakdown of exit types to understand the proportion of shutdowns versus successful exits.

## Benefits

- The MCP calculates realized value by factoring in equity dilution from follow-on funding rounds.
- You calculate exit rates and average exit values for specific cohorts quickly.
- It provides a clear distribution of exit types, showing the mix of IPOs, Acquisitions, and shutdowns.
- You determine the velocity of exits, helping you understand the timeline of company success.

## How It Works

Connect your preferred AI client to the Vinkius catalog. You then prompt your agent with a specific cohort name and the metric you need.

1. Connect your AI client to the Vinkius catalog and select this MCP.
2. Specify the accelerator cohort you want to analyze (e.g., '2021-spring').
3. Ask your agent for the specific metric, like 'exit summary' or 'exit distribution'.
4. The MCP runs the necessary tool, calculates the metrics, and returns the final, actionable data.

## Frequently Asked Questions

**Does this MCP account for equity dilution?**
Yes. The system accounts for equity dilution from follow-on rounds, ensuring that the realized value calculations are accurate and reflect the true economic outcome.

**What types of exit events can I track?**
You can track major liquidity events, including Acquisitions, Initial Public Offerings (IPOs), and shutdowns. The MCP provides a full breakdown of these types.

**Do I need to know the company's valuation?**
No. The MCP focuses on the aggregate performance metrics, providing the total realized value and average exit values for the entire cohort.

**Can I compare multiple cohorts?**
Yes. You can prompt the MCP to analyze and compare the performance summaries and exit distributions across different graduation years or cohorts.

**Is this tool for general startup metrics?**
No. This MCP is specialized for accelerator programs, tracking the unique metrics and liquidity events associated with alumni companies.