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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, throughput, and optimization analysis.

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 · 3 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

01-03

3 capabilities in this set.

Part of 3 available through KV Cache Optimizer.

  1. 01

    Analyze optimization strategies

    Evaluates the memory reduction and efficiency gains provided by different cache management techniques

  2. 02

    Calculate kv cache footprint

    Determines the raw memory required for the KV cache based on specific architectural and operational parameters

  3. 03

    Estimate inference performance

    Predicts the impact of batching and memory bandwidth on the actual speed of token generation

Observed, not estimated

828ms average. Fast in production.

KV Cache Optimizer is checked daily against the live service.

Daily averagePeak 1043ms
Aug 22Today
Fastest day
683ms
Slowest day
1043ms
14-day trend
Slowing+5%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 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_5QTkZtmGwTPf4KDlzyFNQsxJGyHjfaJ6fYBaUPtc/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-memory-optimizer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_5QTkZtmGwTPf4KDlzyFNQsxJGyHjfaJ6fYBaUPtc/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 deployment?

    It helps by providing deterministic calculations for KV cache size and throughput, allowing you to prevent Out-of-Memory errors and find the best batch size for your hardware.

  • 02

    Can I calculate the savings from INT8 quantization?

    Yes, the calculate_kv_cache_footprint capability provides the quantizedKvSavingsBytes which shows the memory saved when switching to INT8.

  • 03

    What is the difference between the cache strategies?

    The capability supports full_cache for complete context, sliding_window for recent token retention, and paged_attention for efficient non-contiguous memory allocation.

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