ChurnLens MCP server

Buyer-side SaaS due-diligence maths for AI agents. Net and gross revenue retention, revenue concentration risk, dormant ("zombie") MRR, LTV:CAC and a composite health score — computed from figures you supply.

Live endpoint: https://churnlens.site/api/mcp — streamable HTTP, MCP protocol 2024-11-05. No authentication, no account, no rate limit, and nothing you send is stored.

Install

Claude Desktop, Claude Code, or any client that speaks stdio:

npx mcp-remote https://churnlens.site/api/mcp

By config:

{
  "mcpServers": {
    "churnlens": {
      "command": "npx",
      "args": ["mcp-remote", "https://churnlens.site/api/mcp"]
    }
  }
}

A GET on the endpoint returns the manifest. The machine-readable descriptor is at /.well-known/mcp.json.

Tools

Every tool returns structuredContent alongside the text block, so an agent gets typed numbers rather than prose it has to parse back out.

Example

calculate_churn_rate({
  starting_mrr:    100000,
  expansion_mrr:    37000,
  contraction_mrr:   5000,
  churned_mrr:      17000
})

// nrr_pct: 115, grr_pct: 78, expansion_masking_spread_pts: 37
// "A wide NRR-GRR spread: expansion revenue is masking substantial
//  churn underneath. Diligence should look at the retained base
//  separately from upsell."

A business reporting 115% net revenue retention sounds excellent. The same business at 78% gross revenue retention is losing nearly a quarter of its revenue base a year and covering the hole with upsell. Most dashboards show the first number and not the second.

On the scoring bands

get_scoring_bands returns thresholds, not measured data. They are informed by published industry benchmarks — SaaS Capital, Benchmarkit, Recurly and FE International — cited with sources at churnlens.site/benchmarks. Segment matters enormously: median retention for enterprise infrastructure and for SMB self-serve are not the same number. Do not present a band as though it were a survey result.

What it does not do

These tools compute from summary figures you supply. They cannot see what only emerges from customer-level data — cohort decay curves, renewal-cliff timing, concentration in specific logos. Treat them as a first-pass screen.

Verify the maths yourself

The same calculations are open source under MIT at kindrat86/saas-metrics — zero dependencies, every scoring band documented, 27 tests. A result from this server can be reproduced independently.

Interactive versions for humans, no signup: churnlens.site/free.

About

ChurnLens is a buyer-side SaaS due-diligence tool for acquirers, private-equity firms and M&A analysts.

Unaffiliated with the similarly named churnlens.io (retention automation) or churnlens.tech (churn prediction).

MIT licensed. Free.