# Analyze Startup Cohort Performance Metrics AI Agent Connect

> Accelerator Graduation Success calculates critical performance metrics for venture capital programs. This MCP helps managers evaluate a cohort's health by determining funding success rates, average capital raised, and company survival rates. You can track everything from initial investments to final exit status, giving you a clear picture of program effectiveness.

## Overview
- **Category:** finance
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_DC05erbguWldkJGDjLMjlK8YlEwYOvTf6sX26v9a/ai-agent-connect
- **Tags:** accelerator, cohort-analysis, funding, survival-rate, venture-capital

## Description

Venture accelerator managers need to know if their program is actually working. This MCP provides the analytical tools to measure a cohort's true performance. You can calculate key indicators like funding success rates and the average scale of investments using the `calculate_funding_metrics` tool. It also tracks company outcomes, letting you determine survival, acquisition, and shutdown rates with `calculate_exit_and_survival_metrics`. Plus, you can adjust raw funding data with `apply_follow_on_adjustment` to account for subsequent funding momentum. Instead of guessing, you get hard numbers on where the cohort stands, helping you make real decisions about the program's direction.

## Tools

### calculate_funding_metrics
Answers how effectively the cohort is attracting capital and the average scale of those investments

### apply_follow_on_adjustment
Adjusts raw funding metrics to account for the momentum of subsequent funding rounds

### calculate_exit_and_survival_metrics
Answers how many companies are still operating versus those that have exited or failed

## Prompt Examples

**Prompt:** 
```
Calculate the funding metrics for a cohort of 50 companies where 20 raised a total of $10,000,000.
```

**Response:** 
```
The funding success rate is 40% and the average raise is $500,000.
```

**Prompt:** 
```
In a cohort of 30 companies, 5 were acquired and 2 shut down. What are the survival, acquisition, and shutdown rates?
```

**Response:** 
```
The survival rate is 76.67%, the acquisition rate is 16.67%, and the shutdown rate is 6.67%.
```

**Prompt:** 
```
Adjust an average raise of $200,000 with a follow-on multiplier of 1.5.
```

**Response:** 
```
The adjusted average raise is $300,000.
```

## Capabilities

### Assess funding success rates
The AI uses this to determine the percentage of companies that successfully attracted capital.

### Calculate average raises
It figures out the typical size of the investments made within the cohort.

### Determine survival rates
The AI tracks how many companies remain operational versus those that have failed or exited.

### Adjust for follow-on funding
It refines raw funding data by applying multipliers for subsequent funding rounds.

## Use Cases

### End-of-Cycle Review
Run a full analysis on the graduating class to report the overall success rate and average capital raised to stakeholders.

### Comparing Cohorts
Compare the survival metrics of your current cohort against a previous one to see if the program is improving.

### Investment Thesis Validation
Test your investment thesis by calculating funding metrics for a specific sector to see if it meets your minimum performance thresholds.

### Risk Assessment
Determine the failure rate of a group of companies to help predict future portfolio risks.

## Benefits

- You get a clear, quantitative measure of a cohort's failure rate, not just a general feeling for it.
- The MCP calculates average raises, allowing you to benchmark investment scale across different years or industries.
- You can adjust raw funding data to account for follow-on momentum, giving a more accurate view of growth potential.
- It provides specific rates for survival, acquisition, and shutdown, giving you a full lifecycle view of the companies.

## How It Works

Connect your preferred AI client to the Vinkius catalog. You simply prompt the AI with the cohort data and the specific metrics you need. The MCP runs the calculation and returns the precise, structured result.

1. Connect your AI client (Claude, Cursor, Windsurf, etc.) to the Vinkius catalog.
2. Give the AI a prompt, providing the cohort size and the key data points (e.g., total capital raised, number of exits).
3. The MCP invokes the necessary tool, like `calculate_funding_metrics`, using the provided data.
4. The AI receives the calculated metrics (e.g., 40% success rate) and presents the answer in plain language.

## Frequently Asked Questions

**What kind of data does this MCP need to run?**
The MCP requires structured data about the cohort, including the total number of companies, the total capital raised, and specific counts for exits, acquisitions, or shutdowns.

**Can I use this for any industry?**
While designed for venture accelerators, the core metrics—funding success, survival, and exit rates—apply to any group of companies you want to analyze.

**Does it just list metrics, or does it calculate them?**
It actively calculates the metrics. For example, it doesn't just list 'survival rate'; it calculates the percentage based on the inputs you provide.

**Is this MCP only for early-stage startups?**
No. It handles the full lifecycle, from initial funding metrics to final exit and survival rates, making it useful for both early and later-stage analysis.