How does this MCP help with cost reduction?

It calculates the exact cost savings generated by reducing your token count through various compression methods.

What compression techniques can I evaluate?

You can evaluate methods like summarization, pruning, and abstraction.

Can I use this with Cursor or Windsurf?

Yes, this MCP works with any MCP-compatible client including Cursor and Windsurf.

Does it measure quality loss?

Yes, it can calculate quality retention to ensure your compression doesn't ruin the prompt's meaning.

How do I know which technique to use?

You can use the recommend_optimal_technique capability to find the best method based on efficiency scores.

How do I calculate the cost savings of my prompt compression?

You can use the calculate_compression_metrics capability. By providing the original token count, compressed token count, and the cost per token, the capability automatically calculates the costSavings for you.

What is considered a significant quality loss?

The capability triggers a quality warning if the qualityRetention falls below 0.7, indicating that the compression may have significantly degraded the prompt's utility.

Can I compare different compression techniques?

Yes. Use recommend_optimal_technique by passing an array of efficiency scores to determine which method provides the best balance of size reduction and quality preservation.

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Connect Prompt Compression Efficiency 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 exactly how much you save on every token.

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 Compression Calculator.

01
Recommend optimal technique
This capability picks the best compression method for your specific data based on efficiency scores.
02
Calculate compression metrics
This capability runs the math to find your compression ratio, total tokens saved, and actual cost savings.
03
Evaluate technique performance
This capability checks if your current compression results meet standard performance benchmarks.

Real work

What teams actually run

Scaling Agent Workflows

Calculate how much you can shrink long context histories to keep agent costs low.

Optimizing RAG Pipelines

Determine if summarizing retrieved documents saves enough tokens to justify the extra processing.

Budget Forecasting

Use compression metrics to predict monthly API spend based on token reduction.

Technique Benchmarking

Compare pruning against abstraction to see which maintains better semantic integrity.

One connector, every AI

Prompt Compression 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 Compression 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

871ms average. Fast in production.

Prompt Compression Calculator is checked daily against the live service.

Daily averagePeak 1127ms

Oct 3Today

Fastest day: 675ms
Slowest day: 1127ms
14-day trend: Improving-27%

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

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

Prompt Compression Calculator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_9mxmQhVbw4wnT1kePMpmvcingGcAqSLM16D6dDy3/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 Compression Calculator capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "prompt-compression-efficiency-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_9mxmQhVbw4wnT1kePMpmvcingGcAqSLM16D6dDy3/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 Compression Calculator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Prompt Compression Calculator owners hand off.

This is for developers and engineers building high-scale AI applications that need to manage token costs.

01
AI Engineers
They use it to optimize prompt structures for production workflows.
02
LLM Developers
They use it to test the efficiency of different prompt engineering techniques.
03
Product Managers
They use it to project the cost implications of different model configurations.

FAQ

Questions Prompt Compression Calculator owners ask.

01
How does this MCP help with cost reduction?
It calculates the exact cost savings generated by reducing your token count through various compression methods.
02
What compression techniques can I evaluate?
You can evaluate methods like summarization, pruning, and abstraction.
03
Can I use this with Cursor or Windsurf?
Yes, this MCP works with any MCP-compatible client including Cursor and Windsurf.
04
Does it measure quality loss?
Yes, it can calculate quality retention to ensure your compression doesn't ruin the prompt's meaning.
05
How do I know which technique to use?
You can use the recommend_optimal_technique capability to find the best method based on efficiency scores.
06
How do I calculate the cost savings of my prompt compression?
You can use the calculate_compression_metrics capability. By providing the original token count, compressed token count, and the cost per token, the capability automatically calculates the costSavings for you.
07
What is considered a significant quality loss?
The capability triggers a quality warning if the qualityRetention falls below 0.7, indicating that the compression may have significantly degraded the prompt's utility.
08
Can I compare different compression techniques?
Yes. Use recommend_optimal_technique by passing an array of efficiency scores to determine which method provides the best balance of size reduction and quality preservation.

Explore

More in Productivity

Connect Prompt Compression 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

Recommend optimal technique

Calculate compression metrics

Evaluate technique performance

What teams actually run

Scaling Agent Workflows

Optimizing RAG Pipelines

Budget Forecasting

Technique Benchmarking

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

Prompt Compression Calculator Connector

Claude Desktop

AI Engineers

LLM Developers

Product Managers

How does this MCP help with cost reduction?

What compression techniques can I evaluate?

Can I use this with Cursor or Windsurf?

Does it measure quality loss?

How do I know which technique to use?

How do I calculate the cost savings of my prompt compression?

What is considered a significant quality loss?

Can I compare different compression techniques?

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