Multivariate Test Analyzer Engine Connector for AI agents.
3 live capabilities
Identify winning combinations and interaction effects in multivariate experiments.
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Why people use Multivariate Test Analyzer Engine
Multivariate Test Analyzer for Conversion Rate Optimization
This Connector lets your agent do the math for you. You just point your agent at the data and ask it to find the winners. It handles the factorial analysis, calculates the main effects, and flags the interactions that matter. You get a clear recommendation on what to ship without the headache of manual calculation.
What Vinkius changes
That it turns complex multivariate data into a clear list of winning configurations.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Finding the best ad creative pair
A marketing team has 5 headlines and 4 button colors.
- Real-world use case 02
Isolating individual feature impact
A product manager wants to know if a new layout works better with old vs new copy.
- Real-world use case 03
Mapping variable dependencies
An e-commerce site sees weird results where one image works with one price but not another.
Complete set · 3capabilities
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.
01—03
3 capabilities in this set.
Part of 3 available through Multivariate Test Analyzer Engine.
- 01 Capability
Identify winning combination
Pinpoints the specific set of variables that achieved the best results. This gives you a clear answer on what to launch.
- 02 Capability
Analyze interaction effects
Identifies how pairs of factors influence each other. Use this to see if a specific headline only works with a certain button color.
- 03 Capability
Calculate main effects
Calculates the impact of each individual factor in your experiment. This helps you see which single change is doing the most work.
Set up in minutes
One URL. Then ask Multivariate Test Analyzer Engine to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Multivariate Test Analyzer Engine from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_dnnmpTideBwOAAj381Y6Z0ks6utOj97h7UgsSaXa/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Multivariate Test Analyzer Engine, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Multivariate Test Analyzer Engine for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_dnnmpTideBwOAAj381Y6Z0ks6utOj97h7UgsSaXa/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Multivariate Test Analyzer Engine URL.
- Step 03
Save and start
Save the connection and enable Multivariate Test Analyzer Engine in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"multivariate-test-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_dnnmpTideBwOAAj381Y6Z0ks6utOj97h7UgsSaXa/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Multivariate Test Analyzer Engine
Open Agent mode in chat and ask: "Using Multivariate Test Analyzer Engine, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"multivariate-test-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_dnnmpTideBwOAAj381Y6Z0ks6utOj97h7UgsSaXa/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Multivariate Test Analyzer Engine
Ask Copilot: "Using Multivariate Test Analyzer Engine, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"multivariate-test-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_dnnmpTideBwOAAj381Y6Z0ks6utOj97h7UgsSaXa/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Multivariate Test Analyzer Engine
Open Cascade and ask: "Using Multivariate Test Analyzer Engine, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"multivariate-test-analyzer": {
"url": "https://edge.vinkius.com/vk_preview_dnnmpTideBwOAAj381Y6Z0ks6utOj97h7UgsSaXa/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Multivariate Test Analyzer Engine
Ask Cline: "Using Multivariate Test Analyzer Engine, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add multivariate-test-analyzer --transport http "https://edge.vinkius.com/vk_preview_dnnmpTideBwOAAj381Y6Z0ks6utOj97h7UgsSaXa/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Multivariate Test Analyzer Engine
Ask Claude: "Using Multivariate Test Analyzer Engine, show me...". 3 tools are ready
Where the request belongs
Work Multivariate Test Analyzer Engine can move forward.
CRO specialists and product managers who are tired of squinting at massive spreadsheets to figure out which A/B test variants actually moved the needle.
Conversion Rate Optimization (CRO) Specialist
Analyzing multivariate tests to decide which website elements to keep.
Product Manager
Evaluating how different feature combinations affect user retention and sign-ups.
Marketing Analyst
Determining which ad creative combinations yield the lowest cost per acquisition.
Build the capability set
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Data Analysis Prover
A marketing team asked an AI to analyze campaign data. The AI reported 'significant correlation between email frequency and purchase rate (p<0.05).' The team tripled emails. Unsubscribes spiked 340%. Sample: N=47 self-selected respondents, no power analysis. Correlation: observational, no confounders. Distribution: right-skewed but mean used. p=0.043 but Cohen's d=0.12. trivial. Chart: truncated Y-axis making a 2% difference look enormous. This capability forces five axes: sample validity, causal inference, distribution awareness, significance with effect size, and visualization integrity.
Bring your own AI
Change the model, client or framework. Keep Multivariate Test Analyzer Engine connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Multivariate Test Analyzer Engine.
The practical details behind the request, access and result.
What is the Multivariate Test Analyzer MCP for?
It's used for complex A/B testing where you change multiple things at once. It helps you figure out which specific combination of elements works best and how they interact.
How does it handle 2k factorial designs?
It processes experiments with many different variables and levels. It calculates the impact of every single combination so you don't have to do the math manually.
Can it find interactions between variables?
Yes, it identifies if two factors depend on each other. For example, it can tell you if a specific button only works well with a specific headline.
Does it work for e-commerce A/B testing?
Absolutely. It's designed for conversion rate optimization, making it perfect for testing different layouts, prices, and creatives on e-commerce sites.
How do I get the winning configuration?
Your AI agent can call the identification capability to scan your results. It will then give you a clear summary of the exact set of elements that produced the best performance.
Can it help with marketing ad creative tests?
Yes, it's great for analyzing multiple ad variations simultaneously. It helps you see which creative elements are actually driving your results.
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.
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.
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.
One connection away
Give your agent a direct line to Multivariate Test Analyzer Engine.
Connect Multivariate Test Analyzer Engine once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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