Building an E-commerce MCP Server in Practice
AWS ML Blog · rss · 2026-07-09
AWS explains how to build a production-ready e-commerce MCP server using Amazon Bedrock AgentCore and Mistral AI Studio.
This example server supports product search, order placement, review submission, and return processing. The underlying Python service is written with FastMCP and runs in a managed capacity via AgentCore Runtime. The identity layer uses Amazon Cognito + two-layer JWT verification to ensure users can only access their own orders and data.
The article breaks the solution into three layers:
- Application Layer: The MCP server exposes /mcp and /health endpoints.
- Data Layer: 5 DynamoDB tables store products, customers, orders, reviews, and returns.
- Security Layer: Cognito handles identity, AgentCore validates tokens at the infrastructure level, and the application layer fetches data scoped to the user.
It also provides the complete workflow for CDK deployment, data initialization, ECR/CodeBuild builds, and Vibe client connections, making it highly practical for engineering MCP server implementations.
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