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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI Reasoning Cost Engine with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Know your true unit economics before you scale.

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 Reasoning Cost Engine capability set.

These are the exact actions your AI can choose when you ask it to work with AI Reasoning Cost Engine.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Reasoning Cost Engine.

  1. 01

    Forecast scaling economics

    Predicts how total costs and profit margins will behave as your transaction volume increases over time.

  2. 02

    Calculate transaction cost

    Determines the total monetary cost of a single AI request, including the overhead generated by the reasoning process.

  3. 03

    Evaluate overhead impact

    Measures the ratio of 'thinking' cost to 'answering' cost, helping you spot inefficient reasoning chains in your application.

  4. 04

    Analyze profitability margin

    Evaluates the financial viability of a transaction by comparing the total cost against the revenue you charge the user.

Observed, not estimated

834ms average. Fast in production.

AI Reasoning Cost Engine is checked daily against the live service.

Daily averagePeak 962ms
Aug 27Today
Fastest day
690ms
Slowest day
962ms
14-day trend
Improving-28%

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 Reasoning Cost Engine, so you can see the experience inside your AI.

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

AI Reasoning Cost Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_3qvTHhlk6imYv5gc6CjhziYNtYnv6LWpyDF7KeI9/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 Reasoning Cost Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-reasoning-cost-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_3qvTHhlk6imYv5gc6CjhziYNtYnv6LWpyDF7KeI9/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

Who it's for

Built for the work AI Reasoning Cost Engine owners hand off.

This MCP is essential for AI product managers, developers, and financial analysts building applications that rely on complex, multi-step reasoning. If your AI's value comes from its thought process, you need to know the true cost of that thought process.

  • 01

    AI Developer

    Use this to calculate the true cost of reasoning overhead and optimize your model calls.

  • 02

    Product Manager

    Determine if a new feature is financially viable by analyzing potential profit margins.

  • 03

    Financial Analyst

    Model long-term scaling economics and predict total variable costs as user adoption increases.

FAQ

Questions AI Reasoning Cost Engine owners ask.

  • 01

    What is 'reasoning overhead' in this MCP?

    Reasoning overhead is the cost associated with the AI's internal 'thinking' process, such as Chain-of-Thought steps. This MCP isolates that cost so you know exactly how much the reasoning itself costs, separate from the final answer.

  • 02

    Can this MCP help me predict costs if my user base grows?

    Yes. You use the forecast_scaling_economics capability. It models how your total costs and profit margins will behave as your transaction volume increases, helping you plan for growth.

  • 03

    Do I need to know my revenue to use this MCP?

    No, but knowing your revenue helps. If you use analyze_profitability_margin, you must provide both the cost and the revenue to determine if the transaction is profitable.

  • 04

    What kind of inputs does the MCP require?

    The capabilities require specific financial inputs, such as the number of reasoning steps, the compute factor, and the average token count for accurate cost modeling.

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