Building and connecting a production-ready ecommerce MCP server using Amazon Bedrock AgentCore and Mistral AI Studio
Machine Learning Blog
This article demonstrates building a production-ready ecommerce MCP server on Amazon Bedrock AgentCore with two-layer JWT authentication, DynamoDB storage, and Mistral AI Vibe integration.
- Build MCP tools in Python with FastMCP for product search, order placement, reviews, and returns processing
- Implement two-layer authentication: AgentCore validates JWT tokens at infrastructure level, application scopes data to authenticated customer
- Deploy with AWS CDK creating DynamoDB tables, Cognito user pool, IAM roles, and ECR repository for container images
- Connect to Mistral Vibe using OAuth 2.1 for conversational AI interface across web, iOS, and Android
- Follow best practices: limit tools per server to 5-8, validate at tool level, use least privilege IAM, and only connect trusted MCP servers
- Seed deployment with realistic test data and use stateless HTTP mode for AgentCore load balancing
The solution provides a reusable pattern for building domain-specific MCP servers that authenticate users, enforce data isolation, and integrate with AI clients through standardized protocols.
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