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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Agent A/B Test Calculator with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Prove which agent variant genuinely performs better.

Included with plan

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

Complete set · 3 capabilities

The complete Agent A/B Test Calculator capability set.

These are the exact actions your AI can choose when you ask it to work with Agent A/B Test Calculator.

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.

Observed, not estimated

813ms average. Fast in production.

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

Daily averagePeak 973ms
Aug 20Today
Fastest day
649ms
Slowest day
973ms
14-day trend
Slowing+37%

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

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.

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