MCP For Claude Marketplace
AI TCO Decision Support

AI TCO Decision Support MCP Connector for Claude

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

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
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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.

tcoai-modelsopen-sourceproprietaryfinancial-modeling

4 tools expose this connector's capabilities to your AI agent.

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

See how to talk to your AI agent using AI TCO Decision Support.

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.

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.

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

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.

Estimate the operational effort for an enterprise-level proprietary API deployment.

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

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.

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