# Measure startup program intensity and burnout risk. AI Agent Connect

> Accelerator Program Intensity Scorer quantifies the operational pressure and burnout risk in startup accelerator programs. This MCP analyzes key metrics—like weekly hours, curriculum density, and milestone frequency—to generate a precise intensity score. Program designers use this to identify burnout risks for founders at any experience level. It ensures the program's pressure is properly aligned with the startup's current lifecycle stage, helping you design programs that actually work.

## Overview
- **Category:** analytics
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_SKZUiAMpr1KjiPUn4CpqjlzYsWpdh0Xp4jAEi1sg/ai-agent-connect
- **Tags:** accelerator, burnout-risk, startup-metrics, founder-wellbeing, operational-pressure

## Description

You need to know if your accelerator program is burning out its founders, or if it's just challenging them enough to succeed. This MCP helps program designers do that. It takes raw data—weekly hours, curriculum density, and how often milestones are due—and calculates a single, actionable intensity score. Instead of guessing, you get a precise measure of the cognitive and temporal load on the founding team. You can use the MCP to determine if the proposed program intensity is appropriate for a startup's current stage of development. You'll also get specific risk thresholds, telling you exactly what score limits trigger different risk levels for novice versus expert founders. This gives you the data needed to adjust the program before burnout hits.

## Tools

### analyze_stage_alignment
Determines if the proposed program intensity is appropriate for a startup's current stage of development

### calculate_intensity_metrics
Provides a comprehensive snapshot of the program's impact including the intensity score, risk, and ideal targets

### get_burnout_thresholds
Retrieves the specific intensity score limits that trigger different risk levels for different founder profiles

## Prompt Examples

**Prompt:** 
```
Calculate the intensity metrics for a program requiring 40 hours a week, 0.8 curriculum density, 4 milestones per month, 0.5 support intensity, for an expert founder in the seed stage.
```

**Response:** 
```
The program has an intensity score of 7.5, a low burnout risk for an expert founder, and is well-aligned for the seed stage.
```

**Prompt:** 
```
What are the burnout thresholds for a novice founder?
```

**Response:** 
```
For a novice founder, the low risk limit is 3.0, the medium risk limit is 5.5, and the high risk limit is 8.0.
```

**Prompt:** 
```
Is an intensity score of 9 appropriate for an ideation stage startup?
```

**Response:** 
```
No, an intensity score of 9 is not aligned with the ideation stage; it is too high and may lead to immediate burnout.
```

## Capabilities

### Check stage alignment
Use this when you need to confirm if the program's difficulty level matches the startup's current growth phase.

### Score program impact
Run this when you need a single, quantitative score that summarizes the program's overall pressure and risk.

### Define risk limits
Call this when you need to set clear, data-backed score boundaries for different types of founders.

## Use Cases

### Designing a new cohort
You're launching a new accelerator and need to know if the planned weekly hours are too high for early-stage teams. Run the intensity scorer to check for immediate burnout risk.

### Mid-program adjustment
The program is running, but founder feedback suggests burnout. Use the MCP to calculate new metrics and adjust the curriculum density or milestone frequency.

### Comparing program models
You're deciding between two different accelerator formats. Use the tool to score both models and determine which one has a lower, safer operational pressure.

### Onboarding new partners
A new partner wants to build an accelerator. Give them the MCP access so they can instantly quantify the risk profile of their proposed program structure.

## Benefits

- Calculates a precise intensity score based on weekly hours, curriculum density, and milestone frequency.
- Identifies specific burnout risks for founders based on their experience level.
- Ensures program pressure is appropriately aligned with the startup's current lifecycle stage.
- Provides clear risk thresholds, helping you set boundaries for program design.

## How It Works

Connect your preferred AI client to the Vinkius catalog. You simply provide the program's operational data, and the MCP handles the complex calculations, returning a clear, actionable risk score.

1. Connect your AI client (Claude, Cursor, Windsurf, VS Code) to the Vinkius catalog.
2. Prompt your agent with the program's specific metrics (e.g., weekly hours, curriculum density).
3. The MCP invokes the necessary tool, such as `calculate_intensity_metrics`.
4. Your agent receives the final score, risk level, and alignment recommendation.

## Frequently Asked Questions

**What data does this MCP use to calculate intensity?**
It analyzes three main types of data: weekly hours, curriculum density, and milestone frequency. These inputs allow it to quantify the total cognitive and temporal load on the founding team.

**Can I tell if the program is appropriate for the startup's stage?**
Yes. You can use the `analyze_stage_alignment` tool. It determines if the proposed program intensity is appropriate for the startup's current stage of development, preventing misalignment.

**Does this tool only work for expert founders?**
No. The MCP provides specific risk thresholds for different founder profiles. You can check limits for novice, intermediate, and expert founders to tailor your program.

**Is this a general analytics tool or specific to accelerators?**
It is specialized for accelerator programs. It focuses specifically on measuring operational pressure and burnout risk within the context of startup development programs.

**What is the difference between the intensity score and the risk level?**
The intensity score is the raw, calculated number representing the program's load. The risk level is the interpretation of that score, telling you if the load is low, medium, or high risk for a given founder profile.