Use Product Usage Engine with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Analyze product stickiness, engagement scores, and user retention correlations.
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 Product Usage Engine capability set.
These are the exact actions your AI can choose when you ask it to work with Product Usage Engine.
01-04
4 capabilities in this set.
Part of 4 available through Product Usage Engine.
- 01
Generate power user distribution
Provides a breakdown of user activity levels to identify the power user density
- 02
Analyze retention correlation
Determines if higher engagement is effectively driving user retention
- 03
Calculate engagement score
Generates a single score representing the depth of user interaction
- 04
Get stickiness metrics
Calculates the product's daily stickiness ratio
One connector, every AI
Product Usage Engine works with the most popular AI clients.
These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put Product Usage Engine to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.
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 Product Usage Engine, so you can see the experience inside your AI.
It does not authenticate your account with Product Usage Engine. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Product Usage Engine Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_IMtyKtVdvlYPnnZKaSgD803v7RS5yLMjhQH0E1pI/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 — Product Usage Engine capabilities are ready to use.
{
"mcpServers": {
"product-usage-engagement-engine-mcp": {
"url": "https://edge.vinkius.com/vk_preview_IMtyKtVdvlYPnnZKaSgD803v7RS5yLMjhQH0E1pI/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
Guided setup for Claude? How to give Claude access to Product Usage Engine
FAQ
Questions Product Usage Engine owners ask.
- 01
How do I calculate my product's stickiness?
You can use the get_stickiness_metrics capability by providing your Daily Active Users (DAU) and Monthly Active Users (MAU).
- 02
Can I identify my power users?
Yes, the generate_power_user_distribution capability provides a breakdown of activity levels and identifies the ratio of power users within a 30-day window.
- 03
How is the engagement score determined?
The calculate_engagement_score capability synthesizes session duration, action density, and feature adoption rates into a single score.
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