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Connect Agent A/B Test Calculator 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. Prove which agent variant genuinely performs better.

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.

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 · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Agent A/B Test Calculator.

  1. 01

    Analyze variant performance

    This capability analyzes the performance of multiple agent variants to determine statistical significance. You provide the success counts and total attempts, and it calculates key metrics like the p-value and minimum detectable effect (MDE).

  2. 02

    Calculate bayesian probability

    Use this capability to calculate the Bayesian probability that one agent variant is better than another. It estimates the likelihood of outperformance based on observed data.

  3. 03

    Estimate test requirements

    This capability helps you plan future experiments by calculating the necessary sample size and test duration for an A/B test. You input your expected baseline rates and desired detection thresholds.

Real work

What teams actually run

01

Optimizing Chatbot Flows

You want to know if changing the chatbot's opening script (Variant B) is better than the old one (Variant A). The MCP calculates the relative lift and significance.

02

Improving Checkout Conversion

A/B testing two different checkout flows requires knowing if the observed increase in conversions is real. The MCP provides the statistical proof.

03

Comparing Agent Responses

When two different LLM prompts generate agent responses, this MCP compares their success rates to determine which prompt is superior.

04

Planning Large-Scale Rollouts

Before launching a major agent update, you use the MCP to calculate the exact number of users and time needed to run a conclusive test.

One connector, every AI

Agent A/B Test 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.

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 Agent A/B Test 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

861ms average. Fast in production.

Agent A/B Test Calculator is checked daily against the live service.

Daily averagePeak 1047ms
Oct 3Today
Fastest day
696ms
Slowest day
1047ms
14-day trend
Slowing+5%

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 Agent A/B Test Calculator, so you can see the experience inside your AI.

It does not authenticate your account with Agent A/B Test Calculator. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Agent A/B Test Calculator Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_rLQOAZtFk4qc4ty1S7S56y14mXSD5bAfWh5mornv/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 — Agent A/B Test Calculator capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "agent-ab-test-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_rLQOAZtFk4qc4ty1S7S56y14mXSD5bAfWh5mornv/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 Agent A/B Test Calculator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Agent A/B Test Calculator owners hand off.

This MCP is built for data scientists, product managers, and machine learning engineers. If your job involves optimizing AI agent behavior or proving ROI on new features, this capability gives you the statistical rigor you need. It moves your testing from guesswork to verifiable data.

  • 01

    Product Manager

    Uses it to decide which agent feature set to ship based on statistically proven performance gains.

  • 02

    Data Scientist

    Uses it to calculate complex metrics like p-values and confidence intervals for model comparisons.

  • 03

    ML Engineer

    Uses it to plan and size experiments, ensuring the test collects enough data to draw reliable conclusions.

FAQ

Questions Agent A/B Test Calculator owners ask.

  • 01

    What is the difference between p-value and significance?

    The p-value tells you the probability of seeing your results if there was actually no difference between the variants. A low p-value (typically below 0.05) suggests the difference is statistically significant.

  • 02

    Do I need to know the MDE before running the test?

    Yes. The Minimum Detectable Effect (MDE) is the smallest difference in conversion rate that you care about detecting. You must define this threshold to calculate the necessary sample size.

  • 03

    Can this MCP handle multi-variant testing?

    Yes. It accounts for complex scenarios, including multi-variant tests, and can apply corrections like Bonferroni corrections to maintain statistical rigor.

  • 04

    Is this capability for comparing agents or just conversion rates?

    It's for both. You use it to compare any two or more variants—whether they are different agent prompts, different UI flows, or different backend models—based on a measurable outcome.

  • 05

    What is the Bayesian probability?

    Unlike traditional p-values, the Bayesian probability estimates the actual likelihood that one variant is better than another, given the data you provide.

  • 06

    How do I know if my agent's performance improvement is real?

    You can use the analyze_variant_performance capability. It calculates the p-value to determine if the observed difference in conversion rates is statistically significant or likely due to chance.

  • 07

    Can I plan how long an experiment should run?

    Yes, the estimate_test_requirements capability calculates the required sample size and the estimated number of days needed to complete a test based on your daily traffic and desired sensitivity.

  • 08

    What is the difference between the frequentist and Bayesian approaches provided?

    The frequentist approach (via analyze_variant_performance) focuses on p-values and significance thresholds, while the Bayesian approach (via calculate_bayesian_probability) provides the direct probability that one variant is better than another.

Explore

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