What does this MCP actually calculate?

It calculates the exact number of tokens saved by identifying shared prefixes across your prompts.

Which AI clients can use this MCP?

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

How do I know if my prompts are good for caching?

You can use the get_cache_efficiency_metrics capability to get a high-level recommendation on caching potential.

Does this capability work with any prompt format?

Yes, it analyzes the character sequences and token counts of the prompt strings you provide.

Is this hosted by Vinkius?

Yes, Vinkius hosts and manages the MCP so it is ready to use immediately upon connection.

How does this capability calculate token savings?

The capability identifies the common prefix shared by all prompts and estimates tokens using a 4-character-per-token ratio. It then calculates savings by multiplying the prefix tokens by the number of additional prompts that benefit from the cache.

What is the difference between the analysis capabilities?

You can use analyze_prefix_savings for a full breakdown of tokens, including the exact common prefix and percentage. Use get_cache_efficiency_metrics if you just want a quick recommendation based on a specific efficiency threshold.

Can I use this with Claude Desktop?

Yes, this MCP server can be connected to Claude Desktop, Cursor, VS Code, Windsurf, and any other MCP-compatible client via Vinkius Edge.

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Connect Prefix Cache Savings 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. Find exactly how much you save by caching prompt prefixes.

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 Prefix Cache Savings Calculator.

01
Analyze prefix savings
This capability calculates the exact number of tokens you save by using a shared prefix across a specific set of prompts.
02
Find longest common substring
This capability identifies the exact character sequence shared by your prompts to confirm the prefix exists.
03
Get cache efficiency metrics
This capability provides a high-level summary to tell you if your prompt set is a good candidate for prefix caching.

Real work

What teams actually run

System Prompt Optimization

Check if a long system instruction is being reused enough to justify prefix caching.

Batch Processing Audits

Analyze a large list of user queries to see how much the shared context can be cached.

Agentic Workflow Design

Determine the cost-effectiveness of keeping a specific context active across multiple turns.

Prompt Template Testing

Compare different prompt templates to see which one offers better caching efficiency.

One connector, every AI

Prefix Cache Savings 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 Prefix Cache Savings 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

840ms average. Fast in production.

Prefix Cache Savings Calculator is checked daily against the live service.

Daily averagePeak 950ms

Oct 3Today

Fastest day: 615ms
Slowest day: 950ms
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. 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 Prefix Cache Savings Calculator, so you can see the experience inside your AI.

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

Prefix Cache Savings Calculator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_X5laquUdzNLwu1jfwmCWYgT4ANJtiqAUYca2plBj/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 — Prefix Cache Savings Calculator capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "prefix-cache-savings-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_X5laquUdzNLwu1jfwmCWYgT4ANJtiqAUYca2plBj/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 Prefix Cache Savings Calculator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Prefix Cache Savings Calculator owners hand off.

This MCP is built for developers and prompt engineers managing high-volume LLM workloads.

01
Prompt Engineers
They hand off prompt batches to the agent to find ways to reduce token overhead.
02
AI Developers
They use the metrics to optimize the cost of agentic workflows and API calls.
03
LLM Ops Engineers
They audit prompt efficiency to manage large-scale model deployment costs.

FAQ

Questions Prefix Cache Savings Calculator owners ask.

01
What does this MCP actually calculate?
It calculates the exact number of tokens saved by identifying shared prefixes across your prompts.
02
Which AI clients can use this MCP?
You can use this with any MCP-compatible client like Claude, Cursor, or Windsurf.
03
How do I know if my prompts are good for caching?
You can use the get_cache_efficiency_metrics capability to get a high-level recommendation on caching potential.
04
Does this capability work with any prompt format?
Yes, it analyzes the character sequences and token counts of the prompt strings you provide.
05
Is this hosted by Vinkius?
Yes, Vinkius hosts and manages the MCP so it is ready to use immediately upon connection.
06
How does this capability calculate token savings?
The capability identifies the common prefix shared by all prompts and estimates tokens using a 4-character-per-token ratio. It then calculates savings by multiplying the prefix tokens by the number of additional prompts that benefit from the cache.
07
What is the difference between the analysis capabilities?
You can use analyze_prefix_savings for a full breakdown of tokens, including the exact common prefix and percentage. Use get_cache_efficiency_metrics if you just want a quick recommendation based on a specific efficiency threshold.
08
Can I use this with Claude Desktop?
Yes, this MCP server can be connected to Claude Desktop, Cursor, VS Code, Windsurf, and any other MCP-compatible client via Vinkius Edge.

Explore

More in Optimization

Connect Prefix Cache Savings 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

Analyze prefix savings

Find longest common substring

Get cache efficiency metrics

What teams actually run

System Prompt Optimization

Batch Processing Audits

Agentic Workflow Design

Prompt Template Testing

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

Prefix Cache Savings Calculator Connector

Claude Desktop

Prompt Engineers

AI Developers

LLM Ops Engineers

What does this MCP actually calculate?

Which AI clients can use this MCP?

How do I know if my prompts are good for caching?

Does this capability work with any prompt format?

Is this hosted by Vinkius?

How does this capability calculate token savings?

What is the difference between the analysis capabilities?

Can I use this with Claude Desktop?

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