# Quantify Accelerator Performance Metrics AI Agent Connect

> Accelerator Track Record Metrics provides the tools needed to assess how successful a startup accelerator truly is. You can evaluate capital efficiency, analyze liquidity success adjusted for cohort age, and generate a normalized performance score based on funding, unicorns, and market conditions. This MCP helps you move past gut feelings and get hard numbers for due diligence.

## Overview
- **Category:** finance
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_ycqMOekfQi9B5f3SZDHLpw46siRrpNpBThWadHSB/ai-agent-connect
- **Tags:** accelerator, metrics, startup, funding, exits

## Description

Evaluating an accelerator isn't just about looking at the total funding raised. You need precise metrics to understand the true quality and longevity of the cohort. This MCP gives you the tools to assess accelerator success by calculating key performance indicators. You can evaluate capital efficiency using `get_portfolio_summary`, analyze liquidity success adjusted for cohort age with `calculate_exit_performance`, and generate a single, normalized performance score using `compute_track_record_score`. It’s designed for finance professionals who need to benchmark accelerators against industry standards, giving you a clear, quantitative picture of their track record.

## Tools

### get_portfolio_summary
Provides a high-level overview of the accelerator scale and capital efficiency

### compute_track_record_score
Generates a single, normalized performance score

### calculate_exit_performance
Analyzes the liquidity success of the accelerator, accounting for cohort age

## Prompt Examples

**Prompt:** 
```
What is the average funding per company for an accelerator with 50 companies and $250M raised?
```

**Response:** 
```
The average funding per company is $5,000,000.
```

**Prompt:** 
```
Calculate the exit performance for 10 companies with 2 exits in 2023 and cohorts starting in 2020 and 2021.
```

**Response:** 
```
The exit rate is 20%, with an age-adjusted exit rate reflecting the cohort maturity.
```

**Prompt:** 
```
What is the track record score for 100 companies, $500M raised, 5 unicorns, and 10 notable alumni in a neutral market?
```

**Response:** 
```
The calculated track record score is 75.5.
```

## Capabilities

### Assess Capital Efficiency
The AI uses this MCP to get a high-level view of how well the accelerator manages its funding.

### Analyze Exit Maturity
It calculates liquidity success while adjusting the metrics for how old the company cohort is.

### Generate Normalized Scores
The AI creates a single, easy-to-understand performance score based on multiple inputs.

### Benchmark Performance
You can compare an accelerator's metrics against industry benchmarks to spot weaknesses.

### Evaluate Portfolio Scale
It summarizes the overall size and scope of the accelerator's investment portfolio.

## Use Cases

### Pre-Investment Due Diligence
Before writing a check, run the MCP to calculate the accelerator's track record score and check its capital efficiency.

### Fundraising Pitch Deck Creation
Use the exit performance tool to show investors that your cohort's maturity increases the value of your exits.

### Benchmarking Competitors
Compare your accelerator's portfolio summary against industry leaders to identify gaps in your strategy.

### Post-Investment Review
Analyze the cohort's performance over time to determine if the initial investment thesis is still valid.

## Benefits

- You quantify performance using metrics that account for the time elapsed since the cohort started.
- The MCP generates a single, normalized score, simplifying complex performance data into one number.
- It provides a high-level summary of the accelerator's scale and capital usage, helping you spot immediate risks.

## How It Works

Connecting this MCP to your AI client gives you immediate access to advanced financial modeling. You simply prompt your agent with the specific data points you need, and the MCP returns the calculated metric.

1. Connect your preferred AI client (Claude, Cursor, Windsurf, VS Code) to the Vinkius catalog.
2. Reference the Accelerator Track Record Metrics MCP in your prompt.
3. Provide the necessary inputs, such as cohort size, total funding, or exit dates.
4. The MCP executes the required calculation and returns the precise, actionable metric.

## Frequently Asked Questions

**What kind of data does this MCP need to run?**
The MCP requires core data points about the accelerator's portfolio, including total companies, total funding raised, and specific details about exits and founding cohort years.

**Does this account for market changes?**
Yes. The tools are designed to factor in market conditions and adjust metrics, such as calculating the normalized performance score based on market context.

**Is this only for US-based accelerators?**
No. The metrics are designed to provide high-fidelity assessment regardless of the geographic location of the accelerator or its portfolio companies.

**Can I use this with my existing AI workflow?**
Absolutely. Since this MCP is hosted on Vinkius, you connect your AI client once, and you get access to all the tools without needing to manage credentials or hosting.