mcp server
ChurnLens
Buyer-side SaaS due diligence: upload subscription CSV, detect hidden churn risk
Description as published by the maintainer. Source
- version 1.0.0
- active
active — Registry entry last updated 2026-07-19.
What this server can do
6 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
analyze_revenue_concentration(top_n, customer_mrrs, whale_threshold_pct)- Assess customer concentration risk across a book of revenue using the Herfindahl-Hirschman Index (HHI), top-N share and whale detection. Answers the question every acquirer asks first: how much revenue walks out with one logo? Required: customer_mrrs.
calculate_churn_rate(churned_mrr, starting_mrr, expansion_mrr, contraction_mrr)- Calculate net revenue retention (NRR), gross revenue retention (GRR), revenue churn and implied customer lifetime from one period's MRR movements. Also reports the NRR-minus-GRR spread, which reveals how much churn is being masked by expansion revenue. Required: starting_mrr.
calculate_ltv(cac, arpa, gross_margin_pct, monthly_churn_rate_pct)- Calculate gross-margin-adjusted customer lifetime value, the LTV:CAC ratio and CAC payback in months. Omitting gross margin yields lifetime revenue rather than lifetime value — usually a third of the number. Required: arpa, monthly_churn_rate_pct.
detect_zombie_mrr(accounts, threshold_days)- 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 cancelling and is invisible to standard revenue dashboards. Required: accounts.
get_scoring_bands(metric)- Return the scoring thresholds ChurnLens applies to NRR, revenue concentration and the composite health score. These are bands, not measured benchmark data — the sourced benchmark figures are cited at https://churnlens.site/benchmarks.
score_saas_health(nrr_pct, ltv_to_cac_ratio, annual_plan_share_pct, monthly_churn_rate_pct, top_customer_share_pct)- Score a SaaS business 0-100 across five dimensions — retention, growth, concentration, efficiency and durability — and return the composite. Every mapping is published, so the score can be reconstructed by hand. Required: monthly_churn_rate_pct, nrr_pct, top_customer_share_pct, ltv_to_cac_ratio, annual_plan_share_pct.
Last successful function declaration observed on . Source: https://churnlens.site/api/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://churnlens.site/api/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| Latest published version | 1.0.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-07-19 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-07-19 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| mcp tools declared | 6 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | churnlens.site | |
| mcp endpoint status | ok | The server listed 6 functions when asked. | as of probe | churnlens.site |
Where to get it
This record as data
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