# AI TCO Decision Support AI Agent Connect

> Compare the 3-year Total Cost of Ownership between open-source and proprietary AI models.

## Overview
- **Category:** finance
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_fVYwX4Y9q9o8zMvhoGwWgmVEsLQOtYjuawdCoQO5/ai-agent-connect
- **Tags:** tco, ai-models, open-source, proprietary, financial-modeling

## Description

This MCP server provides a financial decision-support framework for evaluating AI model deployment strategies. It calculates the 3-year Total Cost of Ownership (TCO) by comparing direct compute costs for open-source models against API usage fees for proprietary models. The tool also accounts for operational overhead, such as internal expertise requirements, and quantifies strategic factors like the flexibility premium and vendor lock-in risk. Use `calculate_tco_comparison` for core financial metrics, `calculate_flexibility_and_lockin` for strategic risk assessment, and `get_tco_summary_report` to generate a final recommendation for decision-makers.

## Tools

### calculate_flexibility_and_lockin
Quantifies the strategic value of open-source versus the risk of proprietary models

### calculate_tco_comparison
Provides the core financial comparison between open-source and proprietary model approaches

### estimate_operational_effort
Translates support and expertise needs into a relative effort score

### get_tco_summary_report
Aggregates all calculated metrics into a single structured summary for decision-makers

## Prompt Examples

**Prompt:** 
```
Compare the TCO for an open-source model costing $50,000 in compute and $120,000 in annual expertise against a proprietary API costing $80,000 per year.
```

**Response:** 
```
The 3-year TCO for the open-source model is $510,000, while the proprietary API model costs $240,000. The proprietary approach is $270,000 cheaper over three years.
```

**Prompt:** 
```
What is the strategic risk if I have a customization need of 8 and a vendor lock-in risk of 7?
```

**Response:** 
```
The calculated flexibility premium is high due to the significant customization needs, and the estimated lock-in cost reflects a substantial risk of being tied to the current provider.
```

**Prompt:** 
```
Estimate the operational effort for an enterprise-level proprietary API deployment.
```

**Response:** 
```
The estimated effort score is low, as enterprise-grade proprietary APIs are managed services that require minimal internal infrastructure management.
```

## Frequently Asked Questions

**How does this tool account for human expertise costs?**
The `calculate_tco_comparison` tool includes an `expertiseCost` parameter, which allows you to input the annual cost of the specialized staff or consultants required to manage the model deployment.

**Can I change the time horizon for the TCO calculation?**
Yes, the `calculate_tco_comparison` tool accepts an optional `years` parameter. If not provided, it defaults to a 3-year projection.

**What is the difference between the flexibility premium and lock-in cost?**
The flexibility premium represents the value of being able to customize and control your model, while the estimated lock-in cost quantifies the financial risk and difficulty of migrating away from a proprietary provider.