# Model Accelerator Fund Economics and Returns. AI Agent Connect

> Accelerator Follow-on Fund Modeler provides specialized financial modeling for accelerator funds. It lets your AI client calculate deployable capital, manage pro-rata reserves, and simulate various exit scenarios, giving you a full picture of fund health.

## Overview
- **Category:** finance
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_CYpaB5NI6CmS0zMx8qiHu9ugxRFCTHFuwNNZorfT/ai-agent-connect
- **Tags:** fund-modeling, vc, economics, investment, accelerator

## Description

This MCP is built for finance professionals who need to model the complex economics of accelerator follow-on funds. It moves beyond simple projections, giving you a clear view of deployable capital, management reserves, and potential returns. You can use your AI client to determine the exact investable capital remaining after fees and reserves. Need to see how different market outcomes affect the fund? You can project various investor returns and manager carry rates. Plus, you can model the impact of recycling exit proceeds, seeing exactly how reinvesting gains boosts total deployment capacity. It’s a deep dive into fund economics, making complex VC math straightforward.

## Tools

### project_return_scenarios
This tool estimates potential returns for investors and the carry for managers based on different exit multiples and success outcomes.

### calculate_deployment_capacity
Use this function to determine how much capital is available for investment, accounting for management fees and required pro-rata reserves.

### model_recycling_impact
This tool calculates how reinvesting realized gains affects the total capital available for deployment, showing the true impact of recycling proceeds.

## Prompt Examples

**Prompt:** 
```
Calculate the deployment capacity for a $50M fund with a 2% management fee, 20 companies, and $1M follow-on allocation per company.
```

**Response:** 
```
The deployable capital is $40,000,000, with total pro-rata reserves of $20,000,000 and net investable capital of $20,000,000.
```

**Prompt:** 
```
What are the returns for $10M invested if we have exit multiples of 0.0, 3.0, and 10.0 with a 20% carry rate?
```

**Response:** 
```
At a 0.0x multiple, the fund value is $0. At a 3.0x multiple, the fund value is $30,000,000. At a 10.0x multiple, the fund value is $100,000,000.
```

**Prompt:** 
```
Show the impact of recycling for a fund with $10M deployable capital, a 50% exit rate, and an average 3x exit multiple.
```

**Response:** 
```
The total capital deployed with recycling is $15,000,000, resulting in an incremental capital gain of $5,000,000.
```

## Capabilities

### Calculate Reserves
Your agent determines the exact amount of capital reserved for follow-on rights and management fees.

### Project Returns
It estimates potential returns for both investors and managers based on various exit multiples.

### Model Recycling
The MCP calculates how reinvesting realized gains increases the fund's total deployment capacity.

### Determine Investable Capital
You can find the true net investable capital after accounting for all fees and reserves.

## Use Cases

### Due Diligence on a New Fund
Run a simulation to check if a potential fund structure can sustain follow-on investments given its fee structure.

### Planning Follow-on Rounds
Determine the exact amount of capital available for deployment when planning a major follow-on round for portfolio companies.

### Stress-Testing Performance
Test the fund's resilience by projecting returns across a range of exit multiples (e.g., 0.0x to 10.0x).

### Optimizing Capital Deployment
See how much extra capital can be deployed by strategically recycling realized gains from successful exits.

## Benefits

- It calculates the net investable capital after deducting management fees and required reserves.
- It simulates multiple exit paths, allowing you to project investor returns and manager carry.
- It models the financial boost generated by reinvesting realized exit proceeds.
- You get a clear picture of fund economics, simplifying complex VC math.

## How It Works

Connect your preferred AI client to the Vinkius catalog. You simply prompt your agent with the fund parameters, and the MCP executes the necessary financial calculations.

1. Connect your AI client (Claude, Cursor, Windsurf, etc.) to the Vinkius catalog.
2. Tell your agent the specific fund parameters, like total size, fee rates, and reserve requirements.
3. The MCP executes the required tool, running the complex fund economics model.
4. Your agent receives the concrete, calculated results, showing deployable capital or projected returns.

## Frequently Asked Questions

**What kind of fund economics can this MCP model?**
It specializes in accelerator follow-on funds. You can model deployable capital, manage pro-rata reserves, and simulate various exit scenarios to understand the fund's true capacity.

**Does it account for management fees and reserves?**
Yes. The `calculate_deployment_capacity` tool specifically determines the investable capital remaining after fees and required follow-on reserves are accounted for.

**Can I see how reinvesting money helps the fund?**
The `model_recycling_impact` tool calculates this. It shows exactly how reinvesting realized gains increases the total capital available for future deployment.

**What inputs does the return projection need?**
The `project_return_scenarios` tool requires inputs like the initial investment amount, the desired carry rate, and a range of exit multiples (e.g., 0.0x, 3.0x, 10.0x).

**Is this MCP only for VC funds?**
It is designed for specialized fund modeling, specifically focusing on the structure and economics of accelerator follow-on funds.