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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI Inference Serving Optimization with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Optimize AI model serving by balancing throughput, latency, and infrastructure costs.

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 Serving Optimization capability set.

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

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Inference Serving Optimization.

  1. 01

    Analyze queue impact

    Evaluates how different request arrival patterns affect the effectiveness of the chosen batch size

  2. 02

    Calculate efficiency metrics

    Calculates the primary performance and economic outcomes of a serving configuration change

  3. 03

    Evaluate cost reduction

    Specifically isolates the financial impact of increasing throughput efficiency

  4. 04

    Validate sla compliance

    Determines if a specific optimization configuration is viable under strict latency constraints

One connector, every AI

AI Inference Serving 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.

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 Inference Serving 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

999ms average. Fast in production.

AI Inference Serving Optimization is checked daily against the live service.

Daily averagePeak 999ms
Sep 6Today
Fastest day
999ms
Slowest day
999ms
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 Serving Optimization, so you can see the experience inside your AI.

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

AI Inference Serving Optimization Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_Y9Ajl32mtT7iS6setclGlNMOHhNtmfwaQR2zk6ho/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 Serving Optimization capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-inference-serving-optimization-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Y9Ajl32mtT7iS6setclGlNMOHhNtmfwaQR2zk6ho/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 Serving Optimization owners ask.

  • 01

    How can I use this to reduce my GPU costs?

    You can use evaluate_cost_reduction to calculate how increasing throughput with your current infrastructure reduces the cost per request.

  • 02

    How does batch size affect my latency?

    Increasing batch size improves throughput but can increase latency. Use validate_sla_compliance to ensure your batch size doesn't violate your latency SLA.

  • 03

    Can I simulate bursty traffic patterns?

    Yes, use analyze_queue_impact with the 'bursty' request pattern to evaluate buffer risk and queue wait times.

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