ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI Inference Optimization with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Calculate financial and performance ROI for AI inference optimizations.

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 Inference Optimization capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Inference Optimization.

  1. 01

    Calculate roi metrics

    Provides a comprehensive financial breakdown of the optimization's impact

  2. 02

    Compare optimization scenarios

    Evaluates two different optimization approaches to determine which is more financially viable

  3. 03

    Estimate throughput gain

    Quantifies how much more work the system can handle due to faster inference

  4. 04

    Get optimization summary

    Provides a high-level summary of the investment's viability

One connector, every AI

AI Inference Optimization 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 Inference Optimization 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

921ms average. Fast in production.

AI Inference Optimization is checked daily against the live service.

Daily averagePeak 921ms
Sep 6Today
Fastest day
921ms
Slowest day
921ms
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 Inference Optimization, so you can see the experience inside your AI.

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

AI Inference Optimization Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_Sobav0qSwLXq9CpG4sbZu9tOwnUaMvk0tA8iwOdL/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 Inference Optimization capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-inference-optimization-roi-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Sobav0qSwLXq9CpG4sbZu9tOwnUaMvk0tA8iwOdL/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 Inference Optimization owners ask.

  • 01

    How do I calculate the payback period?

    You can use the calculate_roi_metrics capability. Provide the investment amount, latency improvement, cost reduction, monthly volume, current unit cost, and maintenance cost to get the exact payback period in months.

  • 02

    Can I compare two different optimization strategies?

    Yes, use the compare_optimization_scenarios capability. It allows you to input two different sets of parameters to see which one offers a shorter payback period.

  • 03

    How does optimization affect system throughput?

    By using estimate_throughput_gain, you can calculate the throughput multiplier, which shows how much more work your system can handle based on the latency reduction.