Layla: a secure multi-agent shopping concierge (Google ADK + MCP)

Layla is a secure multi-agent AI shopping concierge built for a luxury Pakistani fashion brand using Google's Agent Development Kit (ADK) and Model Context Protocol (MCP). The system uses multiple specialized agents to handle different aspects of the shopping experience while maintaining security and privacy. It demonstrates how to architect a production-grade AI agent system for e-commerce with proper isolation, tool management, and user data protection.

Key Points

• •Multi-agent architecture: Separate specialized agents handle different tasks (product discovery, recommendations, checkout, customer service) rather than one monolithic agent
• •Google ADK integration: Leverages Google's Agent Development Kit for building, deploying, and managing multiple coordinated agents
• •Model Context Protocol (MCP): Uses MCP for standardized communication between agents and external tools/services
• •Security-first design: Implements proper authentication, authorization, and data isolation between agents to protect customer information
• •Tool management: Each agent has access to specific tools and APIs relevant to its function, reducing attack surface and improving reliability
• •Production-ready patterns: Demonstrates error handling, fallback mechanisms, and monitoring for multi-agent systems in real e-commerce scenarios
• •Luxury brand context: Tailored for high-end fashion retail with emphasis on personalized recommendations and premium customer experience
• •Scalability: Architecture supports adding new agents and tools without disrupting existing functionality

Workflow Diagram

Concepts