How many tools does Customer Profitability Analysis for B2B SaaS provide?

MCPBundles probed 15 tools on the live server. The tool list on this page reflects what was discovered at the last refresh — connect your client to see the full set available to your session.

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Publisher MCP server

Tools: 15

Customer Profitability Analysis for B2B SaaS

Some of your customers are destroying profit. Margin Levers finds the profit drag, surfaces the recommended move, and delivers the action kit — no consultant required.

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https://marginlevers.com

MCP

MCPBundles

Remote MCP URL

https://mcp.marginlevers.com/mcp

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Last probed Nov 3, 2026 · mcp.marginlevers.com

15tools discovered

For AI agents — MCPBundles Directory API
For MCP client apps (human connect):
MCP connect URL: https://mcp.marginlevers.com/mcp
Skill page: https://www.mcpbundles.com/skills/marginlevers-mcp-ce3d0ef0d4

Explore capabilities (15)

other 15

Analyze

Get

Other capabilities

Analyze Free

other

analyzeFree

START HERE if you have no Margin Levers account. Analyze up to 250 B2B SaaS customers for free — no API key needed. INPUT: raw CSV text with id and revenue columns (cost optional — pass business_model to estimate from SaaS benchmarks). Minimum 10 customers, maximum 250. SUPPORTED HEADERS: revenue/mrr/arr/monthly_revenue/sales, cost/cogs/monthly_cost/expense, id/customer_id/account_id, name/customer_name/company_name. EXAMPLE WITH COST: "id,name,revenue,cost\n1,Acme,120000,45000". EXAMPLE WITHOUT

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Tool inventory (15 tools)

Analyze Free — START HERE if you have no Margin Levers account. Analyze up to 250 B2B SaaS customers for free — no API key needed. INPUT: raw CSV text with id and revenue columns (cost optional — pass business_model to estimate from SaaS benchmarks). Minimum 10 customers, maximum 250. SUPPORTED HEADERS: revenue/mrr/arr/monthly_revenue/sales, cost/cogs/monthly_cost/expense, id/customer_id/account_id, name/customer_name/company_name. EXAMPLE WITH COST: "id,name,revenue,cost\n1,Acme,120000,45000". EXAMPLE WITHOUT
Analyze — START HERE if you have customer revenue and cost data as JSON and want to understand profitability. Segments customers into A (most profitable) through F (most unprofitable) using whale curve methodology. INPUT: JSON array of customer objects, each with {id: string, revenue: number, cost: number}; name is optional. Minimum 2, maximum 50,000 customers. Revenue and cost in USD (non-negative). OUTPUT: segments A–F with customer assignments, peak profit point, tail drag percentage, and summary stati
Analyze Csv — Run a customer profitability analysis from raw CSV text. INPUT: a string containing CSV with a header row and data rows. Must include revenue and cost columns; ID and name columns are auto-detected if present. Supported header names: revenue/mrr/arr/sales, cost/cogs/expense, id/customer_id/account_id, name/customer_name/company_name. Supports US ($1,234.56) and European (€1.234,56) number formats. Example: "id,name,revenue,cost\n1,Acme Corp,120000,45000\n2,Beta Inc,85000,38000". Maximum 5 MB, 50
Get Analyses — List the authenticated user's saved profitability analyses, paginated. INPUT: optional limit (1–100, default 20) and offset (default 0). OUTPUT: array of saved analyses, each with id, name, customerCount, totalRevenue, and createdAt. WORKFLOW: use the returned id as analysisId when calling getInsights, runScenario, or generateBoardDeck. Analyses are created by calling analyze or analyzeCSV with persist=true.
Get Insights — Answer 'what should I do about my profitability?' — generates AI-powered insights for a saved analysis. PREREQUISITE: an analysisId from analyze(persist=true), analyzeCSV(persist=true), or getAnalyses. INPUT: analysisId (integer) and type — one of: executive_summary (C-suite narrative overview), segment_deep_dive (detailed per-segment breakdown), action_plan (USE THIS to get prioritized next steps — the most common agent intent), custom_question (ask any specific question about the data — provid

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Frequently Asked Questions

What is the Customer Profitability Analysis for B2B SaaS MCP server?

Some of your customers are destroying profit. Margin Levers finds the profit drag, surfaces the recommended move, and delivers the action kit — no consultant required.

How do I connect Customer Profitability Analysis for B2B SaaS to my AI agent?

Use the MCP endpoint listed on this page in your MCP client configuration. One-click install pills support Claude, Cursor, VS Code, and other hosts. Copy the remote MCP URL if your client needs a manual entry.

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Run Scenario — Answer 'what would happen if I repriced, restructured, or dropped these customers?' — simulates specific customer changes against a saved analysis. PREREQUISITE: an analysisId from analyze(persist=true), analyzeCSV(persist=true), or getAnalyses. INPUT: analysisId and a changes array. Each change has: customerId (string), action ('reprice' = adjust price up/down, 'restructure' = change delivery model, 'drop' = remove customer entirely from book of business), and optional revenueChange/costChange

Get Benchmarks — Answer 'how do I compare to similar B2B SaaS companies?' — fetches anonymized community benchmarks. NO PREREQUISITE — call this before you have an analysis to give the user immediate context. No individual company data is exposed (k-anonymity ≥ 5). INPUT: optional industry filter (default 'saas') and optional customer_count_tier (e.g. '100-500', '500-1000'). OUTPUT: median profit margin, average tail drag %, segment distribution, and percentile rankings. TIER: all tiers. For a structured compari

Generate Board Deck — Generate an AI-powered board-ready presentation deck for a saved analysis. PREREQUISITE: an analysisId from analyze(persist=true), analyzeCSV(persist=true), or getAnalyses. INPUT: analysisId (required), optional companyName (used in deck title), optional audience — one of: "board" (governance focus), "ops_team" (tactical actions), "ceo" (strategic overview, default), "investors" (growth/margin story). OUTPUT: structured deck with slides covering profitability summary, segment breakdown, risk are

List Actions — List tracked customer actions and realized ROI outcomes for the authenticated account. INPUT: optional limit (1-200, default 50). OUTPUT: action items with customerId, actionType, status, previous/current revenue and cost, profitDelta, and completion timestamps. WORKFLOW: use after analysis or remediation to answer what actions are pending, completed, and recovering profit.

Record Action — Record a customer profitability action against a saved analysis so Margin Levers can track outcome ROI. INPUT: analysisId, customerId, customerName, actionType ('removed'|'repriced'|'retained'|'cost_reduced'|'upsold'), and optional previous/target revenue, cost, profit, segment, and notes. OUTPUT: the created action. Use this immediately after a user reprices, restructures, retains, upsells, or exits a customer.

Manage Webhooks — List, create, delete, test, or inspect webhook subscriptions for analysis/action/outcome events. INPUT: operation ('list'|'create'|'delete'|'test'|'deliveries'), plus url/events for create, webhookId for delete, and optional limit/offset/subscriptionId for deliveries. OUTPUT: webhook subscription, delivery, or test results. Signing secrets are returned once on create and must be stored immediately.

Profit Concentration Risk — Answer: 'How exposed am I if my top customers churn?' Computes revenue concentration, stress-tests top-N customer loss, and returns a plain-English risk verdict. INPUT: an analysisId from a previously saved analysis, or pass csv text to analyze fresh. topN controls how many top customers to stress-test (default 3). OUTPUT: concentrationScore 0-100, verdict HIGH/MODERATE/LOW, revenueAtRisk, marginsIfTopNChurn, and a narrative sentence. TIER: Growth.

Ranked Call List — Answer: 'Which customers should I call this week — and what do I say?' Returns a ranked, ready-to-use call list with a one-sentence call objective per customer. INPUT: analysisId from a saved analysis, or csv for a fresh run. limit controls list length (5-50, default 10). focus narrows to: 'margin_recovery' (fix unprofitable), 'churn_risk' (high cost-to-serve), 'upsell' (undermonetized profitable accounts), or 'all' (default). OUTPUT: ranked array with callObjective, recommendedAction, and urgen

Peer Benchmark Comparison — Answer: 'How does my business compare to B2B SaaS peers my size?' Fetches anonymized community benchmarks and compares them against your analysis metrics. INPUT: analysisId (optional — uses most recent saved analysis if omitted). businessModel narrows the peer cohort (product_led, smb, enterprise, hybrid, services). OUTPUT: your metrics vs. peer percentiles, gap list, and a priority action recommendation. TIER: All tiers (no AI cost — pure benchmark comparison).

Price Change Scenario — Answer: 'What happens to my margin if I raise prices by X%?' Models a price change across all customers (or a named segment), applies an assumed churn rate, and returns net margin impact plus the break-even churn rate. INPUT: analysisId (required), priceChangePct (-50 to +100), applyTo ('all', 'segment_A', 'segment_B', 'tail'), assumedChurnPct (0-100, default 5). OUTPUT: currentMetrics, projectedMetrics, netMarginLift, breakEvenChurnRate, and a recommendation string. TIER: Growth.

What authentication does Customer Profitability Analysis for B2B SaaS require?

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