Use AI Power User Analytics with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Understand which users drive real platform value.
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 Power User Analytics capability set.
These are the exact actions your AI can choose when you ask it to work with AI Power User Analytics.
01-04
4 capabilities in this set.
Part of 4 available through AI Power User Analytics.
- 01
Analyze feature depth
Evaluates how deeply users are integrating AI into their workflows
- 02
Calculate value multiplier
Quantifies the relative importance of power users to the platform's overall utility
- 03
Get power user density
Determines what portion of the user base qualifies as power users
- 04
Predict conversion rate
Estimates the likelihood of standard users becoming power users based on their current trajectory
Observed, not estimated
840ms average. Fast in production.
AI Power User Analytics is checked daily against the live service.
- Fastest day
- 748ms
- Slowest day
- 922ms
- 14-day trend
- Improving-11%
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 Power User Analytics, so you can see the experience inside your AI.
It does not authenticate your account with AI Power User Analytics. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
AI Power User Analytics Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_OH2xULWGRTCoZ8ovAs5ltjWdJq4c4QqgfPrRRJKW/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 Power User Analytics capabilities are ready to use.
{
"mcpServers": {
"ai-power-user-analytics-engine-mcp": {
"url": "https://edge.vinkius.com/vk_preview_OH2xULWGRTCoZ8ovAs5ltjWdJq4c4QqgfPrRRJKW/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 Power User Analytics owners hand off.
This MCP is essential for product managers and data analysts who need to prove the ROI of AI features. If you're trying to move users from simple trial usage to complex, multi-step workflows, this capability gives you the metrics to back up your strategy.
- 01
Product Manager
Use this MCP to determine if your AI features are being adopted deeply enough to justify the development cost.
- 02
Data Analyst
Run cohort analyses to track how user segment health changes over time and identify key growth bottlenecks.
- 03
Growth Lead
Model user conversion rates to set realistic goals for moving standard users into high-value power user tiers.
FAQ
Questions AI Power User Analytics owners ask.
- 01
What is 'power user density' in this context?
It's a metric that tells you what percentage of your total user base meets the criteria for a 'power user.' It helps you quickly gauge the overall health and maturity of your user base.
- 02
Can this MCP tell me if my AI features are valuable?
Yes. By calculating the value multiplier, you quantify the relative importance of your advanced users. This shows how much value the power users bring compared to the standard user base.
- 03
Do I need to know my user count beforehand?
No. The capabilities are designed to take specific inputs, like the number of power users and standard users, or a list of user counts, to generate the required metrics.
- 04
Is this only for B2B SaaS platforms?
While designed for SaaS, the core metrics—density, value, and feature depth—apply to any platform where user adoption and feature usage need to be quantified.
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