Connect Amazon Ads & Inventory performance directly to Claude.
PPCCenter MCP (Model Context Protocol) server bridges the gap between your Amazon seller performance data and your local AI environment. Automate reporting, audit campaigns, and monitor stock levels in plain English.
"ad_spend": "$4,120.50",
"acos": "21.4%" (Target: 25%),
"roas": "4.67x",
"sales": "$19,240.00"
{"sku": "PPC-SL-09", "days_remaining": 14, "status": "Reorder Required"}
]
Adding arms and legs to your E-Commerce AI
Why access metrics via APIs or dashboard exports when you can chat directly with your live store data?
Amazon Ads Analytics
Monitor ad spend, impressions, clicks, conversions, and target ACoS in real-time. Never let ad budgets overspend again.
FBA Inventory Sync
Access real-time inventory levels, reorder alerts, and stock velocity. Stay ahead of supplier lead times easily.
Real-Time AWS SQS Stream
Built-in support for Amazon SQS event pipes, streaming metrics updates straight to your models during live analysis.
Strict Data Confidentiality
Your credentials and Amazon MWS/SP-API keys stay fully encrypted in your local settings or securely routed endpoints.
Plugs straight into Claude Desktop
Copy the JSON below and insert it into your configuration file to connect instantly.
1. Configure Environment
See E-Commerce AI in Action
Select a scenario below to watch how Claude Desktop queries PPCCenter MCP tools to answer complex business questions.
Enterprise-grade Security for Brand Owners
Your Amazon performance data is highly confidential. We respect that by design.
Zero External Storage: The MCP Server runs locally or inside your private VPC, routing API queries directly to Amazon SP-API. Your sales numbers are never stored on third-party servers.
Granular Tool Scopes: Restrict LLM tools to read-only summaries or allow budget updates based on your preferences. You govern the token scope.
OAuth SP-API Handshake: Fully authenticated calls using Amazon's secure Identity and Access Management credentials.
SOC-2 Compliant Direct Pipeline
All communication paths between your LLM environment and the Amazon SP-API are authenticated using TLS 1.3 encryption protocols, preventing local data snooping.