# Venture Angel Investment Sizing AI Agent Connect

> Strategic decision-support for angel investors to optimize portfolio allocation and follow-on reserves.

## Overview
- **Category:** finance
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_Yfs07YxkJXBETK3f0ffrZdN9mMuUSiQkRK0GWbei/ai-agent-connect
- **Tags:** angel-investing, portfolio-theory, power-law, capital-allocation, venture-capital

## Description

This MCP server provides critical decision-support tools for angel investors to manage capital allocation through the lens of power law dynamics. It allows investors to model their entire lifecycle by using `calculate_portfolio_structure` to split capital between initial checks and reserves. Users can model specific investment tiers with `generate_check_size_distribution`, ensure they have enough dry powder to defend winners using `evaluate_followon_capacity`, and assess concentration risk via `analyze_capital_efficiency`. It is designed to help investors balance diversification targets against the need for high-impact follow-on participation.

## Tools

### analyze_capital_efficiency
Measures the relationship between initial deployment and total potential exposure to assess concentration

### evaluate_followon_capacity
Analyzes whether the current reserve allocation is sufficient to maintain ownership in winners

### generate_check_size_distribution
Provides a detailed breakdown of how many checks can be written at various tiers within a user-defined range

### calculate_portfolio_structure
Determines the high-level breakdown of how capital is split between initial checks and follow-on reserves

## Prompt Examples

**Prompt:** 
```
I have $1,000,000 for an angel fund. I want to invest in 20 companies and keep 40% for follow-on reserves. What is my initial deployment and average check size?
```

**Response:** 
```
With a $1,000,000 portfolio and a 40% reserve, your initial deployment is $600,000 and your reserve amount is $400,000. The average initial check size for 20 companies is $30,000.
```

**Prompt:** 
```
If I have $400,000 in reserves for 20 companies and expect 2 winners that need follow-on, is my reserve enough?
```

**Response:** 
```
Yes, with $400,000 in reserves and 2 expected winners, you have a maximum of $200,000 available for each winning company.
```

**Prompt:** 
```
Calculate the efficiency and concentration risk for a $500,000 portfolio with $450,000 initial deployment and 25 companies.
```

**Response:** 
```
The efficiency ratio is 0.9 and the concentration risk score is High, as most of your capital is deployed in the initial round.
```

## Frequently Asked Questions

**How does this tool help with power law returns?**
The tool uses `evaluate_followon_capacity` to ensure that your reserve allocation is sufficient to support the few 'winners' that typically drive power law returns in an angel portfolio.

**Can I model different check size strategies?**
Yes, you can use `generate_check_size_distribution` to see how your initial deployment can be spread across different investment tiers within your minimum and maximum bounds.

**How is concentration risk measured?**
Concentration risk is assessed using `analyze_capital_efficiency`, which compares your initial deployment to your total portfolio size to determine if your strategy is too concentrated or sufficiently diversified.