
woocommerce-whisperer
Provides read-only access to WooCommerce store analytics, enabling queries for revenue, top products, pending orders, top customers, and refunds via AI agents. Developers and store managers use it to fetch e-commerce metrics programmatically. Applications include dashboard integrations and automated reporting.
How to pay
Subscribe
$15/month
Predictable monthly cost with included usage. Best for steady, high-volume traffic.
- Unlimited tools within plan limits
- One API key, billed once a month
- Cancel any time
Overview
The WooCommerce Whisperer MCP server delivers read-only analytics from WooCommerce stores. It supports natural language queries through AI agents to retrieve metrics such as revenue totals, top-selling products, pending orders, leading customers, and refund data. This enables integration of store insights into custom applications without direct database access.
Key Capabilities
query_revenue: Fetches total revenue, time-based breakdowns, and comparisons across periods.top_products: Lists highest-revenue or most-ordered products with sales volumes and trends.pending_orders: Retrieves details on unfulfilled orders, including customer info and order values.top_customers: Identifies customers by lifetime value, recent purchases, or order frequency.refunds: Queries refund amounts, reasons, and associated products or orders.
These capabilities operate in a read-only mode, ensuring store data integrity while allowing AI-driven analysis.
Use Cases
- A developer builds a custom dashboard by querying
top_productsandquery_revenueto display real-time sales trends in a React app. - Store managers use
pending_ordersvia AI agents to generate daily reports on fulfillment status sent to Slack. - Analysts query
top_customersandrefundsto analyze churn patterns and export data to Google Sheets for deeper review. - E-commerce agencies integrate
query_revenueinto client portals for automated monthly performance summaries.
Who This Is For
E-commerce developers integrating WooCommerce data into apps, store owners monitoring operations via AI queries, data analysts extracting metrics for BI tools, and agencies building client analytics without custom plugins.