Does this MCP calculate revenue, or just potential value?

It calculates potential economic value and financial return. It helps you quantify the impact of prompt features and measure the financial return relative to the platform's costs.

What kind of data does it need to run a calculation?

The capabilities require specific inputs, such as testing costs, customer value estimates, adoption rates, and the number of templates you have optimized.

Can I use this to compare my prompts to a competitor's?

You can measure your strategic moat by comparing your optimized prompt library against a benchmark, giving you a differentiation score.

Is this capability only for big companies?

No. It's designed to help any team translate technical work into business language, regardless of company size, to justify investment.

How do I calculate the return on my testing infrastructure?

You can use the calculate_platform_roi capability. Provide your testing costs, the customer value generated, and the productivity gains from improved prompt efficiency.

Can I forecast future growth?

Yes, the project_future_economics capability allows you to project future ROI and value based on your current ROI and the expected growth rate of your prompt library.

How is competitive advantage measured?

The assess_competitive_advantage capability measures your strategic moat by comparing your library size and optimization efficiency against industry benchmarks.

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Connect AI Prompt Engineering Platform Economics 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. Turn technical prompt work into clear business value.

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 · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Prompt Economics Engine.

01
Project future economics
Forecasts the long-term financial trajectory based on the compounding growth of the prompt library.
02
Assess competitive advantage
Measures the strategic moat created by high-quality, optimized prompt libraries.
03
Calculate platform roi
Determines the total financial return of the platform relative to its costs.
04
Estimate adoption value
Quantifies the economic impact of how successfully users are adopting the prompt-driven features.

Real work

What teams actually run

Pitching Budget Increases

Need more resources? Use this MCP to calculate the ROI, showing that the platform's value far outweighs the requested budget increase.

Evaluating Feature Prioritization

Before building a new feature, estimate its adoption value. This helps you prioritize work that generates the highest economic return.

Competitive Analysis

Determine your competitive advantage score against rivals by analyzing the quality and breadth of your prompt library.

Long-Term Planning

Use the future economics capability to model growth over five years, securing buy-in for long-term platform investment.

One connector, every AI

AI Prompt Economics Engine 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 AI Prompt Economics Engine 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

899ms average. Fast in production.

AI Prompt Economics Engine is checked daily against the live service.

Daily averagePeak 1176ms

Oct 3Today

Fastest day: 797ms
Slowest day: 1176ms
14-day trend: Slowing+16%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 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 AI Prompt Economics Engine, so you can see the experience inside your AI.

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

AI Prompt Economics Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_KzyYw2bo3NggJ48yt1aYnOZVUBjNJYtyCF4YqvgS/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 — AI Prompt Economics Engine capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "ai-prompt-engineering-platform-economics-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_KzyYw2bo3NggJ48yt1aYnOZVUBjNJYtyCF4YqvgS/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 AI Prompt Economics Engine in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work AI Prompt Economics Engine owners hand off.

This MCP is built for product managers and technical strategists who need to justify the cost and effort of prompt engineering. If you're constantly translating technical wins into business outcomes, this is for you. It gives you the metrics to talk to the CFO, not just the engineers.

01
Product Manager
Use it to quantify the economic impact of new features and prove product-market fit.
02
Technical Strategist
Run it to measure the strategic moat your prompt library creates against competitors.
03
Business Analyst
Calculate the total financial return (ROI) of the platform relative to its development costs.

FAQ

Questions AI Prompt Economics Engine owners ask.

01
Does this MCP calculate revenue, or just potential value?
It calculates potential economic value and financial return. It helps you quantify the impact of prompt features and measure the financial return relative to the platform's costs.
02
What kind of data does it need to run a calculation?
The capabilities require specific inputs, such as testing costs, customer value estimates, adoption rates, and the number of templates you have optimized.
03
Can I use this to compare my prompts to a competitor's?
You can measure your strategic moat by comparing your optimized prompt library against a benchmark, giving you a differentiation score.
04
Is this capability only for big companies?
No. It's designed to help any team translate technical work into business language, regardless of company size, to justify investment.
05
How do I calculate the return on my testing infrastructure?
You can use the calculate_platform_roi capability. Provide your testing costs, the customer value generated, and the productivity gains from improved prompt efficiency.
06
Can I forecast future growth?
Yes, the project_future_economics capability allows you to project future ROI and value based on your current ROI and the expected growth rate of your prompt library.
07
How is competitive advantage measured?
The assess_competitive_advantage capability measures your strategic moat by comparing your library size and optimization efficiency against industry benchmarks.

Explore

More in Productivity

Connect AI Prompt Economics Engine 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.

01-04

Project future economics

Assess competitive advantage

Calculate platform roi

Estimate adoption value

What teams actually run

Pitching Budget Increases

Evaluating Feature Prioritization

Competitive Analysis

Long-Term Planning

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

AI Prompt Economics Engine Connector

Claude Desktop

Product Manager

Technical Strategist

Business Analyst

Does this MCP calculate revenue, or just potential value?

What kind of data does it need to run a calculation?

Can I use this to compare my prompts to a competitor's?

Is this capability only for big companies?

How do I calculate the return on my testing infrastructure?

Can I forecast future growth?

How is competitive advantage measured?

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