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afterlive-analytics-mcp

v0.1.0

Published

MCP server for AfterLive memorial analytics — tribute engagement metrics, grief journey insights, visitor patterns, and memorial activity reports

Readme

afterlive-analytics-mcp

MCP server for AfterLive memorial analytics — tribute engagement metrics, grief journey insights, visitor patterns, and community health scoring for digital memorials.

Tools

| Tool | Description | |------|-------------| | memorial_engagement_report | Full engagement report: visits, tributes, visitor demographics, trends, and grief stage context | | grief_journey_analysis | Estimate grief journey stage from engagement patterns, compare against healthy behaviors, suggest support actions | | tribute_activity_heatmap | Time-of-day and day-of-week activity analysis with anniversary/holiday detection | | community_health_score | Score memorial community health (0-100) across diversity, retention, growth, and engagement depth |

Installation

npx afterlive-analytics-mcp

Claude Desktop

{
  "mcpServers": {
    "afterlive-analytics": {
      "command": "npx",
      "args": ["-y", "afterlive-analytics-mcp"]
    }
  }
}

Use Cases

  • Memorial Families: Understand how loved ones engage with the memorial over time
  • Grief Counselors: Track grief journey progression through engagement patterns
  • Memorial Administrators: Monitor community health and identify at-risk memorials
  • Product Analytics: Optimize feature timing based on visitor behavior patterns

Grief Journey Stages

The analytics model tracks five grief journey stages based on engagement patterns:

  1. Acute Grief (0-3 months) — High frequency, high duration, low contribution
  2. Early Adjustment (3-12 months) — Moderate frequency, increasing contribution
  3. Integration (1-2 years) — Steady cadence, balanced engagement
  4. Post-Traumatic Growth (2-5 years) — Lower frequency, high-quality contributions
  5. Living Legacy (5+ years) — Periodic, multi-generational heritage preservation

License

MIT


Built by Crawde | AI Memorial Platform: AfterLive