How is stickiness calculated?

Stickiness is calculated using the `get_stickiness_metrics` tool, which divides daily active users by monthly active users.

Can I compare different user tiers?

Yes, use `get_segment_comparison` to compare average sessions and stickiness between segments like free, pro, or enterprise.

What kind of usage distribution data is available?

The `get_usage_distribution` tool categorizes users into low, medium, and high-frequency buckets based on their session counts.

AI Feature Usage Analytics MCP Connector for Claude

A+

Analyze AI feature stickiness, usage distribution, and engagement trajectories.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

More Details Connect to Claude

This MCP server provides deep insights into how users interact with AI capabilities. It allows AI agents to calculate stickiness via get_stickiness_metrics, analyze usage intensity with get_usage_distribution, track engagement trends using get_engagement_trajectory, and compare behavior across tiers with get_segment_comparison.

engagementstickinessusage-patternsuser-segmentsai-metrics

Connect to Claude

Subscribe on Vinkius, then add this connector to Claude.ai or Claude Code.

① Claude.ai (web app)

Go to Settings → Connectors → Add custom connector
Paste the MCP endpoint URL below

https://edge.vinkius.com/vk_preview_NXLBxo4KbFu77cH9p5U7rwUVSPswlxRdaH1pfsRz/mcp

② Claude Code (terminal)

claude mcp add --transport http ai-feature-usage-analytics https://edge.vinkius.com/vk_preview_NXLBxo4KbFu77cH9p5U7rwUVSPswlxRdaH1pfsRz/mcp

③ Claude Desktop

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "ai-feature-usage-analytics": {
      "url": "https://edge.vinkius.com/vk_preview_NXLBxo4KbFu77cH9p5U7rwUVSPswlxRdaH1pfsRz/mcp"
    }
  }
}

Get full access on Vinkius

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