ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI TCO Decision Support with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Compare the 3-year Total Cost of Ownership between open-source and proprietary AI models.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 4 capabilities

The complete AI TCO Decision Support capability set.

These are the exact actions your AI can choose when you ask it to work with AI TCO Decision Support.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI TCO Decision Support.

  1. 01

    Calculate flexibility and lockin

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

  2. 02

    Calculate tco comparison

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

  3. 03

    Estimate operational effort

    Translates support and expertise needs into a relative effort score

  4. 04

    Get tco summary report

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

One connector, every AI

AI TCO Decision Support works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put AI TCO Decision Support to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

996ms average. Fast in production.

AI TCO Decision Support is checked daily against the live service.

Daily averagePeak 996ms
Sep 6Today
Fastest day
996ms
Slowest day
996ms
14-day trend
Stable0%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of AI TCO Decision Support, so you can see the experience inside your AI.

It does not authenticate your account with AI TCO Decision Support. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

AI TCO Decision Support Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_fVYwX4Y9q9o8zMvhoGwWgmVEsLQOtYjuawdCoQO5/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — AI TCO Decision Support capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-tco-decision-support-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_fVYwX4Y9q9o8zMvhoGwWgmVEsLQOtYjuawdCoQO5/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? link.label

See all the AI clients this connector works with ↑

FAQ

Questions AI TCO Decision Support owners ask.

  • 01

    How does this capability account for human expertise costs?

    The calculate_tco_comparison capability includes an expertiseCost parameter, which allows you to input the annual cost of the specialized staff or consultants required to manage the model deployment.

  • 02

    Can I change the time horizon for the TCO calculation?

    Yes, the calculate_tco_comparison capability accepts an optional years parameter. If not provided, it defaults to a 3-year projection.

  • 03

    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.