Choose the right setup
BigCommerce MCP: official option or Adzviser?
BigCommerce's beta helps customer-facing agents shop a storefront. Adzviser serves a different job: helping merchants analyze BigCommerce performance.
Build an AI shopping assistant
- SetupEnable the beta on an active storefront and connect its MCP URL to your assistant
- PermissionsShopper-facing actions: can search products, manage a cart and continue to checkout
- Reporting scopeStorefront only: use catalog, policy and cart data for customer-facing shopping
Best for: developers building customer-facing storefront agents.
Read BigCommerce's documentation →Report on BigCommerce store performance
- SetupConnect BigCommerce once in Adzviser; no storefront-agent development is required
- PermissionsRead-only: analyze orders, sales, products and customers without changing the store
- Reporting scopeCross-channel: compare BigCommerce with advertising, analytics, email and CRM data
Best for: merchants, analysts and agencies reviewing business performance.
Start with Adzviser →Prompt ideas
BigCommerce prompts to try
Weekly Sales Summary
Weekly sales snapshot.
Pricing Optimization
Optimize product pricing.
Revenue Trend Analysis
Track revenue trends.
Setup
Connect BigCommerce MCP in three steps
Connect BigCommerce to Adzviser
Create a workspace. Connect BigCommerce using your store hash and access token.
Connect Adzviser to your AI assistant
For Claude, choose Adzviser in the connector directory. For ChatGPT, add the Adzviser plugin. For another supported AI tool, use https://mcp.adzviser.com/http.
Ask your first question
Open Adzviser in your AI assistant and ask what you want to know about BigCommerce.
Quick connection check
List my connected BigCommerce stores and show the Adzviser workspace for each. After I choose one, return "Orders" for the last 7 complete days.
Try a deeper analysis
Analyze BigCommerce pricing for the workspace I choose during the last 30 complete days. For each product: Price, Units Sold, Revenue, and Margin. Identify products where pricing adjustments could increase revenue. Recommend changes.
Reporting coverage
