What can this MCP calculate?

It calculates hit rates, tokens saved, cache efficiency, and warmup metrics for prompt prefix caching.

How do I use this with Claude or Cursor?

You connect to the Vinkius hosted MCP once, and then your AI client can use the capabilities directly through the standard protocol.

Can it help me reduce LLM costs?

Yes, by identifying how many tokens are being saved through caching and suggesting better cache size or TTL settings.

Does it work with my existing logs?

Yes, you provide your request logs to your AI client, which then uses the MCP capabilities to process that data.

What is cache saturation?

It is the point at which your cache is full based on your specific prefix patterns, which this MCP can help you time.

How do I calculate my cache hit rate?

You can use the analyze_cache_performance capability. It processes your request logs and returns the exact cacheHits and cacheHitRate based on your provided TTL and cache size.

What is the purpose of the warmup metrics?

The calculate_warmup_metrics capability measures the time elapsed from the first request until the cache reaches its defined token capacity.

Can this capability help optimize my cache settings?

Yes, the validate_cache_configuration capability compares your current settings against request patterns to suggest an optimal TTL and cache size.

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Connect Prompt Cache Hit Rate Calculator to your AI

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 how much your prompt caching actually saves you.

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.

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.

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 Rate Calculator.

01
Calculate warmup metrics
This capability determines how long it takes for your cache to reach saturation based on your provided logs.
02
Validate cache configuration
Use this to check if your current TTL and cache size settings are optimized for your specific request patterns.
03
Analyze cache performance
This capability calculates hit rates, total tokens saved, and overall cache efficiency from your data.

Real work

What teams actually run

Cost Optimization

An engineer uses the MCP to see if increasing cache size reduces total token spend.

Latency Debugging

A developer checks warmup metrics to see why initial requests are slower than cached ones.

Configuration Tuning

A team validates if their current TTL settings are too short for their request frequency.

Performance Auditing

An MLOps professional runs an analysis on request logs to report on cache efficiency.

One connector, every AI

Prompt Cache Hit Rate 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.

Building your own app? The connector is yours to use.

You don't need a client to put Prompt Cache Hit Rate 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

843ms average. Fast in production.

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

Daily averagePeak 1096ms

Oct 3Today

Fastest day: 693ms
Slowest day: 1096ms
14-day trend: Improving-20%

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 Rate Calculator, so you can see the experience inside your AI.

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

Prompt Cache Hit Rate Calculator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_1xWOtGg1aHOAAt4TnxQgAEbghqfNC7qXXdZCiEO9/mcp

Claude Desktop

Follow the steps below to connect in seconds.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3Click Add and start a new chat — Prompt Cache Hit Rate Calculator capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "prompt-cache-hit-rate-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_1xWOtGg1aHOAAt4TnxQgAEbghqfNC7qXXdZCiEO9/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 Rate 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 Rate Calculator owners hand off.

This is built for engineers managing high-volume LLM applications who need to control costs and latency.

01
LLM Engineer
They hand off request logs to the AI to optimize prefix caching parameters.
02
MLOps Engineer
They use the MCP to monitor the health and efficiency of model serving infrastructure.
03
Backend Developer
They check if their caching implementation is reducing token costs effectively.

FAQ

Questions Prompt Cache Hit Rate Calculator owners ask.

01
What can this MCP calculate?
It calculates hit rates, tokens saved, cache efficiency, and warmup metrics for prompt prefix caching.
02
How do I use this with Claude or Cursor?
You connect to the Vinkius hosted MCP once, and then your AI client can use the capabilities directly through the standard protocol.
03
Can it help me reduce LLM costs?
Yes, by identifying how many tokens are being saved through caching and suggesting better cache size or TTL settings.
04
Does it work with my existing logs?
Yes, you provide your request logs to your AI client, which then uses the MCP capabilities to process that data.
05
What is cache saturation?
It is the point at which your cache is full based on your specific prefix patterns, which this MCP can help you time.
06
How do I calculate my cache hit rate?
You can use the analyze_cache_performance capability. It processes your request logs and returns the exact cacheHits and cacheHitRate based on your provided TTL and cache size.
07
What is the purpose of the warmup metrics?
The calculate_warmup_metrics capability measures the time elapsed from the first request until the cache reaches its defined token capacity.
08
Can this capability help optimize my cache settings?
Yes, the validate_cache_configuration capability compares your current settings against request patterns to suggest an optimal TTL and cache size.

Explore

More in Developer Tools

Connect Prompt Cache Hit Rate Calculator to Claude, Cursor, ChatGPT & more

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

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-03

Calculate warmup metrics

Validate cache configuration

Analyze cache performance

What teams actually run

Cost Optimization

Latency Debugging

Configuration Tuning

Performance Auditing

Building your own app? The connector is yours to use.

Prompt Cache Hit Rate Calculator Connector

Claude Desktop

LLM Engineer

MLOps Engineer

Backend Developer

What can this MCP calculate?

How do I use this with Claude or Cursor?

Can it help me reduce LLM costs?

Does it work with my existing logs?

What is cache saturation?

How do I calculate my cache hit rate?

What is the purpose of the warmup metrics?

Can this capability help optimize my cache settings?

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