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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Multivariate Test Analyzer Engine with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Perform 2k factorial analysis to identify optimal element combinations and interaction effects in multivariate experiments.

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 Multivariate Test Analyzer Engine capability set.

These are the exact actions your AI can choose when you ask it to work with Multivariate Test Analyzer Engine.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Multivariate Test Analyzer Engine.

  1. 01

    Analyze interaction effects

    Analyates interaction effects between pairs of factors

  2. 02

    Calculate main effects

    Each combination must have levels, conversions, and visits. Calculates main effects for each factor in an experiment

  3. 03

    Identify winning combination

    Identifies the winning combination in an experiment

Observed, not estimated

609ms average. Fast in production.

Multivariate Test Analyzer Engine is checked daily against the live service.

Daily averagePeak 899ms
Aug 24Today
Fastest day
521ms
Slowest day
899ms
14-day trend
Stable-2%

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 Multivariate Test Analyzer Engine, so you can see the experience inside your AI.

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

Multivariate Test Analyzer Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_dnnmpTideBwOAAj381Y6Z0ks6utOj97h7UgsSaXa/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 — Multivariate Test Analyzer Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "multivariate-test-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_dnnmpTideBwOAAj381Y6Z0ks6utOj97h7UgsSaXa/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

FAQ

Questions Multivariate Test Analyzer Engine owners ask.

  • 01

    What is the purpose of calculate_main_effects?

    This capability answers which individual elements or variants are driving the most significant change in conversions by calculating the average performance impact of switching a factor from its baseline to its variant level.

  • 02

    How can I detect if two elements work better together?

    Use the analyze_interaction_effects capability. It compares the observed performance of two-factor combinations against the expected performance if they acted independently, identifying significant dependencies.

  • 03

    How do I find the best configuration for my test?

    The identify_winning_combination capability identifies the specific setup with the highest conversion rate and verifies if it is statistically significantly better than the baseline using error variance analysis.

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