# Kindrat86 Churnlens MCP server

Source: https://glimind.com/server/mcp-registry%2Fio.github.kindrat86%2Fchurnlens
Registry id: `mcp-registry/io.github.kindrat86/churnlens`
Status: live (checked 2026-10-26T20:35:03.974Z)

## Measurements (30 days)

- Uptime: 99.97%
- Checks: 4939
- Outages (90 days): 3

## Install

```json
{
  "mcpServers": {
    "kindrat86-churnlens-mcp-server": {
      "type": "http",
      "url": "https://churnlens.site/api/mcp"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http kindrat86-churnlens-mcp-server https://churnlens.site/api/mcp
```

## Tools (6)

- `analyze_revenue_concentration`: Assess customer concentration risk across a book of revenue using the Herfindahl-Hirschman Index (HHI), top-N share and whale detection. Answers the question ev
- `calculate_churn_rate`: Calculate net revenue retention (NRR), gross revenue retention (GRR), revenue churn and implied customer lifetime from one period's MRR movements. Also reports 
- `calculate_ltv`: Calculate gross-margin-adjusted customer lifetime value, the LTV:CAC ratio and CAC payback in months. Omitting gross margin yields lifetime revenue rather than 
- `detect_zombie_mrr`: Identify dormant-but-paying accounts — revenue that still counts in MRR but whose customers have stopped showing up. Zombie revenue is one renewal notice from c
- `get_scoring_bands`: Return the scoring thresholds ChurnLens applies to NRR, revenue concentration and the composite health score. These are bands, not measured benchmark data — the
- `score_saas_health`: Score a SaaS business 0-100 across five dimensions — retention, growth, concentration, efficiency and durability — and return the composite. Every mapping is pu

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.