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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use KV Cache Optimizer with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Deterministic calculator for LLM KV cache memory, hardware utilization, and performance impact.

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 KV Cache Optimizer capability set.

These are the exact actions your AI can choose when you ask it to work with KV Cache Optimizer.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through KV Cache Optimizer.

  1. 01

    Analyze optimization strategy

    Evaluates how much memory is saved or how efficiently memory is used when applying specific optimization techniques

  2. 02

    Calculate kv cache footprint

    Determines the total memory required to store the KV cache for a specific model configuration and batch

  3. 03

    Evaluate hardware feasibility

    Checks if the requested workload fits within the physical constraints of the target GPU

  4. 04

    Optimize batch configuration

    Finds the highest possible batch size that does not violate the memory constraints

Observed, not estimated

846ms average. Fast in production.

KV Cache Optimizer is checked daily against the live service.

Daily averagePeak 985ms
Aug 20Today
Fastest day
682ms
Slowest day
985ms
14-day trend
Slowing+12%

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 KV Cache Optimizer, so you can see the experience inside your AI.

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

KV Cache Optimizer Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_J70L5rbBnbyXhpQy32OdlJSzj1qqHvxVEIyO0NlM/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 — KV Cache Optimizer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "kv-cache-optimizer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_J70L5rbBnbyXhpQy32OdlJSzj1qqHvxVEIyO0NlM/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

FAQ

Questions KV Cache Optimizer owners ask.

  • 01

    How does this capability help with LLM inference optimization?

    It provides deterministic calculations for KV cache size, memory bandwidth requirements, and optimal batch sizes, helping you avoid Out-of-Memory errors.

  • 02

    Can I calculate the impact of quantization?

    Yes, by using calculate_kv_cache_footprint with the INT8 precision type, you can see the 50% memory reduction compared to FP16.

  • 03

    Does it support Paged Attention analysis?

    Yes, the analyze_optimization_strategy capability can calculate the cache hit rate for paged attention based on available pages.

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