SaaS Marketing metrics calculator MCP
Calculates SaaS metrics such as CAC, LTV, payback period, ROAS, and MRR movement from user-provided inputs. Operates statelessly with no external API calls or dependencies. SaaS founders, growth analysts, and finance teams use it to assess customer acquisition efficiency and revenue health without custom spreadsheets.
Overview
The SaaS Metrics Calculator MCP server provides computational tools for key SaaS financial metrics. It processes user-supplied data to output values for Customer Acquisition Cost (CAC), Lifetime Value (LTV), payback period, Return on Ad Spend (ROAS), and Monthly Recurring Revenue (MRR) movement. All operations are stateless, relying solely on inputs without external data sources or persistent storage.
Key Capabilities
- calculate_cac: Computes CAC from total marketing spend, sales costs, and new customers acquired in a period.
- calculate_ltv: Determines LTV using average revenue per user, gross margin, and churn rate.
- calculate_payback: Calculates payback period by dividing CAC by average monthly revenue per customer.
- calculate_roas: Evaluates ROAS from ad spend and attributable revenue.
- mrr_movement: Analyzes MRR changes by comparing current and prior month values, factoring in expansion, churn, and new business.
These functions accept structured inputs like numbers and dates, returning precise metric values with optional breakdowns.
Use Cases
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A SaaS CFO inputs marketing expenses and new customers into calculate_cac and calculate_ltv to compute LTV:CAC ratio, identifying if acquisition costs exceed value.
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Growth marketers feed ad budgets and revenue into calculate_roas to optimize campaign spend before scaling.
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Founders track mrr_movement monthly by providing expansion, contraction, and churn data to forecast runway.
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Analysts combine calculate_payback with cohort data to evaluate sales channel efficiency over time.
Who This Is For
SaaS operators, financial analysts, and product managers needing quick, repeatable metric calculations. Developers integrate these into dashboards or automation scripts for ongoing KPI monitoring without building formulas from scratch.