Run multi-agent e-commerce intelligence for analysis, financial modeling, and strategy.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ProfitPilot MCP Server" yet — see the docs or source repo.
Act as ProfitPilot's business intelligence agent and analyze my e-commerce store's last 90 days of revenue, conversion rate, average order value, refund rate, and ad ROAS. Identify top-performing categories, unusual fluctuations, and provide five actionable optimization recommendations.
A structured performance report with KPI interpretation, anomaly diagnosis, and optimization recommendations.
Build an e-commerce profit and cash flow model based on projected sales, procurement costs, logistics expenses, ad budget, and return rate for the next six months. Provide baseline, optimistic, and conservative scenarios, and explain the break-even point and main risks for each.
A multi-scenario financial model summary including profit forecasts, cash flow changes, break-even points, and risk notes.
Using sales data, profit structure, customer repurchase behavior, and advertising performance, assess whether we should increase budget for a core category next quarter. Output the decision rationale, key assumptions, risks, and a recommended execution plan with monitoring metrics.
A management-ready growth recommendation with conclusions, rationale, risks, and execution monitoring metrics.
Analyze e-commerce data to uncover customer, product, delivery, and sales insights.
Query e-commerce data in natural language through an agent-orchestrated MCP server.
Provide AI agents with business context for e-commerce operations workflows.
Access financial data and analysis tools for faster research and modeling.
Enable AI to safely analyze business metrics without improvising raw SQL.
Query e-commerce SQLite data safely and answer business analytics questions.