Download PDFMarkdown Version
ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI Economics Engine with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Calculate multi-modal AI costs, margins, and optimal pricing strategies.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

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

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 4 capabilities

The complete AI Economics Engine capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Economics Engine.

  1. 01

    Analyze profit margins

    Evaluates the profitability of a specific pricing model

  2. 02

    Calculate request cost

    Determines the total cost of a single multi-modal request

  3. 03

    Get modality impact summary

    Provides a summary of how much each modality contributes to the total cost

  4. 04

    Optimize pricing mix

    Recommends the best pricing structure to maximize profit

One connector, every AI

AI Economics Engine 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.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

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

You don't need a client to put AI Economics Engine 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.

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

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

AI Economics Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_7myVnv2bAKXQcV6gXZz6n74RRcxjdWmDwNmEPxFw/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 Economics Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "multi-modal-ai-economics-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_7myVnv2bAKXQcV6gXZz6n74RRcxjdWmDwNmEPxFw/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 Economics Engine owners ask.

  • 01

    How does the engine handle multi-modal fusion overhead?

    The engine uses calculate_request_cost to add a specific fusion overhead when multiple modalities are detected in a single request, ensuring the computational cost of aligning inputs is captured.

  • 02

    Can I optimize my pricing based on competitor data?

    Yes, by using the optimize_pricing_mix capability, you can input competitor prices and target margins to receive a recommended pricing strategy.

  • 03

    What information is needed to calculate request costs?

    You need to provide text tokens, image counts, and the unit costs for each modality via calculate_request_cost to get an accurate total.

Explore

More in Finance

Suggestions