Eshoplite
eShopLite is a lightweight .NET-based eCommerce platform that offers features such as semantic search, cloud platform integration, and intelligent inference models to help developers quickly build and scale online stores.
rating : 2 points
downloads : 7.7K
What is eShopLite MCP Server?
The Model Context Protocol (MCP) Server is the core component of eShopLite that enables intelligent features like semantic search and AI-powered recommendations. It acts as a middleware between your eCommerce application and advanced AI services.How to use the MCP Server?
The MCP Server works automatically once deployed. Your frontend application communicates with it through simple API calls to access advanced features like product recommendations and intelligent search.Use Cases
Ideal for online stores needing: 1) Smart product discovery 2) Personalized shopping experiences 3) AI-enhanced search capabilities 4) Cloud-native eCommerce solutionsKey Features
Semantic Search
Understands search intent and context rather than just keywords, returning more relevant results
AI Recommendations
Provides personalized product suggestions based on user behavior and preferences
Seamless Cloud Integration
Built-in support for Azure services with automatic scaling and high availability
Secure Authentication
Uses Azure Managed Identity for secure, passwordless access to cloud resources
Advantages
No need for complex AI/ML expertise - ready to use out of the box
Automatically scales with your business needs
Reduces development time for advanced eCommerce features
Secure by design with built-in authentication
Limitations
Requires Azure cloud subscription for full functionality
Initial setup may require technical assistance
Advanced customization needs .NET development knowledge
Getting Started
Deploy to Azure
Use the Azure Developer CLI (azd) to provision all required resources with one command
Configure Your Store
Import your product catalog through the admin interface or API
Connect Your Frontend
Make API calls from your web or mobile app to the MCP Server endpoints
Example Scenarios
Finding Related Products
When a customer searches for 'gifts for mom', the semantic search understands the intent and returns relevant products across categories
Personalized Recommendations
The system automatically suggests complementary products based on what's in the shopping cart
Frequently Asked Questions
Do I need AI expertise to use this?
Can I use this without Azure?
How do I update the product catalog?
Additional Resources
eShopLite GitHub Repository
Source code and issue tracker
Azure Deployment Guide
Official documentation for azd
Demo Video
15-minute walkthrough of key features

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