Use AI-App A/B Testing Infrastructure Cost with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Know the true cost and value of every experiment.
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.
Complete set · 4 capabilities
The complete AI-App A/B Testing Infrastructure Cost capability set.
These are the exact actions your AI can choose when you ask it to work with AI-App A/B Testing Infrastructure Cost.
01-04
4 capabilities in this set.
Part of 4 available through AI-App A/B Testing Infrastructure Cost.
- 01
Calculate experiment unit economics
Determines the direct cost of conducting a single A/B test
- 02
Calculate monthly capacity
Determines how many experiments can be performed in a month based on budget constraints
- 03
Estimate insight value
Calculates the monetary value of the information gained from a test
- 04
Optimize traffic allocation
Evaluates how different traffic splits between control and treatment affect the experiment
Observed, not estimated
795ms average. Fast in production.
AI-App A/B Testing Infrastructure Cost is checked daily against the live service.
- Fastest day
- 710ms
- Slowest day
- 1069ms
- 14-day trend
- Improving-5%
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.
https://edge.vinkius.com/vk_preview_O7csEiZD1BfrHk4OON0SQwtfcDzXx7vmCaJY5Ztk/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — AI-App A/B Testing Infrastructure Cost capabilities are ready to use.
{
"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
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.
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