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Connect Prompt Cache Hit Calculator to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Measure your prefix caching efficiency and cut token costs.

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

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Prompt Cache Hit Calculator.

  1. 01

    Analyze cache performance

    This capability provides a high level overview of cache hits, efficiency, and total cost savings.

  2. 02

    Inspect cache dynamics

    Use this to investigate how often the cache turns over and see the specific overlap between requests.

  3. 03

    Evaluate cache optimization

    This capability identifies the best cache capacity and prefix overlap to help you scale your infrastructure.

Real work

What teams actually run

01

Cost Optimization

Calculate exactly how much money you save by using prefix caching in your production environment.

02

Infrastructure Scaling

Determine the right cache capacity to avoid unnecessary hardware or memory costs.

03

Prompt Engineering

Test how changing your system prompts affects the prefix sharing ratio.

04

Performance Monitoring

Watch for high eviction rates that indicate your cache is too small for your workload.

One connector, every AI

Prompt Cache Hit Calculator 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 Prompt Cache Hit Calculator 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

882ms average. Fast in production.

Prompt Cache Hit Calculator is checked daily against the live service.

Daily averagePeak 1161ms
Oct 3Today
Fastest day
736ms
Slowest day
1161ms
14-day trend
Slowing+13%

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 Prompt Cache Hit Calculator, so you can see the experience inside your AI.

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

Prompt Cache Hit Calculator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_RtPMDdAVBYJh5FuqI4pTMxgwoz4sOxqI1BctS0MI/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 — Prompt Cache Hit Calculator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "prompt-cache-hit-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_RtPMDdAVBYJh5FuqI4pTMxgwoz4sOxqI1BctS0MI/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? Set up Prompt Cache Hit Calculator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Prompt Cache Hit Calculator owners hand off.

This is built for engineers and researchers managing high-volume AI workloads who need to control token spend.

  • 01

    AI Engineers

    They hand off log analysis to the agent to optimize prompt structures.

  • 02

    MLOps Engineers

    They use the capability to decide when to scale caching infrastructure.

  • 03

    Product Owners

    They use the cost savings data to project operational expenses.

FAQ

Questions Prompt Cache Hit Calculator owners ask.

  • 01

    What can this MCP calculate?

    It calculates hit rates, cache efficiency, monetary savings, optimal cache sizes, and eviction rates.

  • 02

    Which AI clients can use this MCP?

    You can use it with any MCP-compatible client like Claude, Cursor, or Windsurf.

  • 03

    How does it help with cost reduction?

    It identifies how much money is saved by reusing prefixes, allowing you to optimize your prompt design for better hits.

  • 04

    Can I use this to scale my infrastructure?

    Yes, the evaluate_cache_optimization capability helps you find the ideal cache capacity based on prefix sharing.

  • 05

    Do I need to host this myself?

    No, Vinkius hosts and manages the MCP for you, so it is ready to use immediately.

  • 06

    How do I calculate the monetary value of my cache hits?

    You can use the analyze_cache_performance capability. By providing the costPerToken parameter, the capability calculates the total cacheHitValue based on the tokens saved during successful hits.

  • 07

    What determines the optimal cache size?

    The evaluate_cache_optimization capability determines the optimal cache size by calculating the 95th percentile of prefix lengths from your request logs.

  • 08

    How can I see if my cache is evicting too many items?

    Use the inspect_cache_dynamics capability. It provides the cacheEvictionRate, which is the number of evictions divided by the total cache capacity.

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