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

Use AI Portfolio Economics with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Calculate optimal LLM and SLM model mixes to minimize costs while meeting performance requirements.

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 Portfolio Economics capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Portfolio Economics.

  1. 01

    Calculate optimal mix

    Note: capabilities are required for the calculation. Determines the best ratio of LLMs to SLMs to minimize cost while meeting performance requirements

  2. 02

    Generate tradeoff matrix

    Visualizes the relationship between cost reduction and performance degradation

  3. 03

    Get cost savings report

    Compares optimized portfolio cost against a pure LLM baseline

  4. 04

    Validate portfolio feasibility

    Validates if a proposed LLM/SLM mix meets performance requirements

One connector, every AI

AI Portfolio Economics 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 Portfolio Economics 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

1021ms average. Fast in production.

AI Portfolio Economics is checked daily against the live service.

Daily averagePeak 1021ms
Sep 6Today
Fastest day
1021ms
Slowest day
1021ms
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 Portfolio Economics, so you can see the experience inside your AI.

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

AI Portfolio Economics Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_XzAEDVOVYaCSnEL7ACyI8wrokOIjK3bIH83SxaU0/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 Portfolio Economics capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-portfolio-economics-optimizer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_XzAEDVOVYaCSnEL7ACyI8wrokOIjK3bIH83SxaU0/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 Portfolio Economics owners ask.

  • 01

    How does the optimizer account for routing errors?

    The calculate_optimal_mix capability uses the routingAccuracy parameter to adjust expected performance, ensuring that even if a query is misrouted to a less capable model, the overall performance remains above your defined threshold.

  • 02

    Can I compare my current setup to an optimized one?

    Yes, you can use get_cost_savings_report to compare the cost of your optimized portfolio against a baseline where only LLMs are used for every task.

  • 03

    How do I know if my model mix is actually viable?

    You can use validate_portfolio_feasibility to check if a specific proposed allocation of LLMs and SLMs will meet your required performance levels given your current routing accuracy.

Explore

More in Optimization

Suggestions