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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
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Use AI Feature Activation Analyzer with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Find exactly where users drop off and how to fix it.

Included with plan

Ask AI about this Connector

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.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 4 capabilities

The complete AI Feature Activation Analyzer capability set.

These are the exact actions your AI can choose when you ask it to work with AI Feature Activation Analyzer.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Feature Activation Analyzer.

  1. 01

    Analyze activation barriers

    Identifies which specific friction points are most significantly impacting the activation rate

  2. 02

    Get activation metrics

    Calculates the core timing metrics for a specific user group

  3. 03

    Get milestone progress

    Tracks user movement through the sequence of milestones to find where users drop off

  4. 04

    Simulate acceleration strategies

    Predicts how changes to the onboarding path or reduction in barriers will affect activation velocity

Observed, not estimated

849ms average. Fast in production.

AI Feature Activation Analyzer is checked daily against the live service.

Daily averagePeak 1001ms
Aug 28Today
Fastest day
758ms
Slowest day
1001ms
14-day trend
Slowing+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 Feature Activation Analyzer, so you can see the experience inside your AI.

It does not authenticate your account with AI Feature Activation Analyzer. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

AI Feature Activation Analyzer Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_Fx3fkcdhw96O3nIwZxTZvieAVhU0t6VC6a2pVK2O/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — AI Feature Activation Analyzer capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-feature-activation-analyzer-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Fx3fkcdhw96O3nIwZxTZvieAVhU0t6VC6a2pVK2O/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 Feature Activation Analyzer owners hand off.

This MCP is built for Product Managers and Growth Leads who need hard data on user behavior. If you're responsible for improving the onboarding funnel or boosting retention, this capability gives you the metrics you need to make changes that actually move the needle.

  • 01

    Product Manager

    Use it to map the user journey and identify the specific points of friction that slow down feature adoption.

  • 02

    Growth Marketer

    Run simulations to predict the impact of new marketing flows or onboarding copy changes on activation time.

  • 03

    SaaS Founder

    Get a clear, data-driven view of user retention and where your product is losing its early adopters.

FAQ

Questions AI Feature Activation Analyzer owners ask.

  • 01

    What kind of data does this MCP analyze?

    This MCP analyzes user journey data for AI SaaS products. It focuses on the time between a user signing up and their first meaningful interaction with your AI features.

  • 02

    Can I predict the effect of changing my product?

    Yes. You can use the simulation capability to predict how reducing path complexity or removing barriers will affect your overall activation rate.

  • 03

    What is 'activation timing' in this context?

    Activation timing measures the time it takes a user to reach a key milestone or perform their first core action within your product. It's a key metric for SaaS growth.

  • 04

    Does this MCP only work for large companies?

    No. It works for any AI SaaS product. You can use it to analyze the user flow and find friction points regardless of your company size.

  • 05

    What is the difference between getting metrics and analyzing barriers?

    Getting metrics gives you the 'what'—like the median activation days. Analyzing barriers tells you the 'why'—identifying the specific friction points causing the slowdown.

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