Use AI NPS Impact Engine with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Understand if AI drives loyalty or creates friction.
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 NPS Impact Engine capability set.
These are the exact actions your AI can choose when you ask it to work with AI NPS Impact Engine.
01-04
4 capabilities in this set.
Part of 4 available through AI NPS Impact Engine.
- 01
Aggregate segment impact
Provides a high-level summary of how AI is impacting different user demographics
- 02
Calculate nps lift
Determines how much the AI feature is driving or dragging the overall product NPS
- 03
Evaluate detractor risk
Predicts the likelihood of users becoming detractors based on their specific AI-related grievances
- 04
Quantify feature value
Translates NPS and satisfaction data into a business-centric Value Perception metric
Observed, not estimated
840ms average. Fast in production.
AI NPS Impact Engine is checked daily against the live service.
- Fastest day
- 727ms
- Slowest day
- 1012ms
- 14-day trend
- Stable+1%
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 NPS Impact Engine, so you can see the experience inside your AI.
It does not authenticate your account with AI NPS Impact Engine. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
AI NPS Impact Engine Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_jHkDc4P6O0vpL4pfOavrHt2AJqoEz61FC4hG6fkc/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 NPS Impact Engine capabilities are ready to use.
{
"mcpServers": {
"ai-feature-nps-impact-engine-mcp": {
"url": "https://edge.vinkius.com/vk_preview_jHkDc4P6O0vpL4pfOavrHt2AJqoEz61FC4hG6fkc/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 NPS Impact Engine owners hand off.
Product Managers, Data Scientists, and Product Owners use this MCP to prove the ROI of their AI investments. If you're responsible for user retention or product loyalty, this capability gives you the hard numbers you need to make development decisions.
- 01
Product Manager
Determines if an AI feature is a core driver of loyalty or if it's creating user friction.
- 02
Data Scientist
Calculates the precise NPS lift and identifies high-risk user segments based on AI grievances.
- 03
Product Owner
Translates complex satisfaction data into a clear, actionable business value metric.
FAQ
Questions AI NPS Impact Engine owners ask.
- 01
Does this MCP tell me why users are unhappy with AI?
It helps you pinpoint the risk. The evaluate_detractor_risk capability predicts the likelihood of becoming a detractor based on specific AI-related grievances, giving you the key areas to investigate.
- 02
Can I use this to compare AI impact across different user types?
Yes. You can use aggregate_segment_impact to get a high-level summary of how AI affects different user demographics, letting you compare groups easily.
- 03
What kind of data does it need to calculate NPS lift?
The calculate_nps_lift capability requires comparison data, specifically the NPS score before the AI feature was used and the score after its implementation.
- 04
Is this just a dashboard, or does it give me actionable metrics?
It's an analytics engine, not a dashboard. It gives you actionable metrics, like a quantified Value Perception score, which you can use directly in your product roadmap.
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