AWS and Mistral AI have released a complete reference implementation for building a production-ready ecommerce MCP server on AWS Machine Learning Blog. The solution uses Amazon Bedrock AgentCore Runtime to host the MCP server, Amazon Cognito for OAuth 2.1 identity management, and Amazon DynamoDB to store product, customer, order, review, and returns data. The ecommerce server supports product search, order placement, review submission, and returns processing, with all requests validated through JWT authentication at the infrastructure layer before reaching application code.
For commerce practitioners, this architecture eliminates weeks of custom integration work by providing a standardized MCP protocol that multiple AI clients can connect to without building separate integrations for each one (AWS Machine Learning Blog). The two-layer security model—infrastructure-level JWT validation plus application-level customer data scoping—ensures each user can only access their own orders, reviews, and returns. AgentCore Runtime handles container management, load balancing, and token validation automatically, so teams can focus on business logic rather than infrastructure.
The implementation is available as open-source code on GitHub and includes AWS CDK infrastructure templates, FastMCP tool definitions, and deployment instructions for connecting to Mistral AI's Vibe platform across web, iOS, and Android. Because the server uses the MCP standard, other MCP-compatible clients can also connect to it beyond Vibe.