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Connect AI Ab Testing Economics 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. Know the true cost and value of every experiment.

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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 · 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-App A/B Testing Infrastructure Cost.

  1. 01

    Calculate experiment unit economics

    Determines the direct cost of conducting a single A/B test

  2. 02

    Calculate monthly capacity

    Determines how many experiments can be performed in a month based on budget constraints

  3. 03

    Estimate insight value

    Calculates the monetary value of the information gained from a test

  4. 04

    Optimize traffic allocation

    Evaluates how different traffic splits between control and treatment affect the experiment

Real work

What teams actually run

01

New Feature Launch Planning

Before launching a major feature, use the MCP to calculate the cost of running the necessary A/B tests and estimate the potential revenue lift.

02

Quarterly Budget Review

When reviewing the budget, use the capacity capability to show stakeholders exactly how many experiments the team can realistically run next quarter.

03

Optimizing User Flow

Use the traffic allocation capability to determine the ideal split between control and treatment groups to maximize statistical significance while minimizing user impact.

04

Comparing Models

When deciding between two AI models, use the MCP to compare the infrastructure cost of testing each one against its potential insight value.

One connector, every AI

AI-App A/B Testing Infrastructure Cost 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 AI-App A/B Testing Infrastructure Cost 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

834ms average. Fast in production.

AI-App A/B Testing Infrastructure Cost is checked daily against the live service.

Daily averagePeak 1023ms
Oct 3Today
Fastest day
711ms
Slowest day
1023ms
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. 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-App A/B Testing Infrastructure Cost, so you can see the experience inside your AI.

It does not authenticate your account with AI-App A/B Testing Infrastructure Cost. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

AI-App A/B Testing Infrastructure Cost Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_O7csEiZD1BfrHk4OON0SQwtfcDzXx7vmCaJY5Ztk/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 — AI-App A/B Testing Infrastructure Cost capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-ab-testing-economics-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_O7csEiZD1BfrHk4OON0SQwtfcDzXx7vmCaJY5Ztk/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-App A/B Testing Infrastructure Cost in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work AI-App A/B Testing Infrastructure Cost owners hand off.

This MCP is built for product leaders and data teams who need to move beyond simple metrics. If you're responsible for justifying the budget or ROI of your product's AI features, this is for you. It gives you the financial language to talk to stakeholders.

  • 01

    Product Manager

    Use this to estimate the financial return on testing a new feature before writing a single line of code.

  • 02

    Data Scientist

    Run complex economic models to determine the statistical power and cost of your experimental design.

  • 03

    CTO/VP of Engineering

    Model the overall infrastructure overhead and capacity limits when planning a roadmap of AI features.

FAQ

Questions AI-App A/B Testing Infrastructure Cost owners ask.

  • 01

    Is this just a calculator for A/B testing?

    No, it's more than a calculator. It provides a full economic framework. You can determine not just the cost, but also the monetary value of the knowledge gained from the test itself.

  • 02

    Does this help me plan my testing schedule?

    Yes. By using the monthly capacity capability, you can input your total budget and the cost per test to get a hard limit on how many experiments you can run in a given month.

  • 03

    What kind of data does it need?

    It needs specific inputs like sample sizes, overhead costs, and the number of users. The MCP guides your agent to gather these details to run accurate financial models.

  • 04

    Can I use this if I don't know the exact cost per user?

    The MCP is designed to handle complex trade-offs, allowing you to model the relationship between infrastructure overhead and the potential impact of new models.

  • 05

    How do I calculate the cost of a single experiment?

    You can use the calculate_experiment_unit_economics capability, which factors in your sample size, infrastructure overhead per user, and fixed analysis costs.

  • 06

    Can I determine how many tests I can run with my current budget?

    Yes, the calculate_monthly_capacity capability calculates the maximum number of experiments possible within your allocated monthly budget.

  • 07

    How is the value of an insight calculated?

    The estimate_insight_value capability calculates value by multiplying the total sample size, the statistical power, and the estimated monetary benefit per user.

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