What are the prerequisites to run eShopLite?
You need .NET 10, Docker Desktop or Podman, Azure Developer CLI (azd), Git, and the Aspire CLI (`dotnet tool install -g aspire.cli`).
eShopLite MCP Server
@Azure-Samples
基本信息
关于 eShopLite MCP Server
eShopLite is a set of reference .NET applications implementing an eCommerce site with features like Semantic Search, MCP, Reasoning models and more.
#mcp#embeddings#semantic-search#aspire#rag#azd#managed-identity#azure-openai#azd-templates#chromadb#mcp-server#mcp-client#deepseek-r1#eshoplite#awesome-mcp#awesome-azd
eShopLite MCP Server 配置
eShopLite MCP Server 工具
工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is eShopLite?
eShopLite is a set of reference .NET applications that implement an eCommerce site with features such as Semantic Search, Model Context Protocol (MCP), reasoning models, and vector databases. It is designed for developers exploring modern AI-powered .NET architectures using .NET Aspire.
How to use eShopLite?
Clone the repository, navigate to a scenario folder (e.g., scenarios/06-mcp/), log into Azure with azd auth login, then run azd up to provision and deploy all resources. Alternatively, use dotnet run in the appropriate host project after setting required secrets via the Aspire CLI or the provided PowerShell script.
Key features of eShopLite
- Modern .NET architecture with .NET Aspire orchestration
- Semantic search and keyword search capabilities
- Integration with GPT-4o, DeepSeek-R1, and other AI models
- Vector database support (In Memory, Azure AI Search, Chroma DB)
- Model Context Protocol (MCP) server and client implementation
- Real-time audio and multi-agent collaboration scenarios
Use cases of eShopLite
- Build an eCommerce site with AI-powered semantic product search
- Explore MCP tool calling for agent-store interactions
- Deploy a multi-service application to Azure App Service
- Experiment with vector search using SQL Server 2025 or Chroma DB
- Orchestrate concurrent AI agents for store operations
常见问题
How do I configure Azure OpenAI for all scenarios?
Run the script `.\scripts\Set-AzureOpenAISecrets.ps1` from the repo root and provide the endpoint, API key, chat deployment name, and embeddings deployment name when prompted.
What scenarios are included in eShopLite?
The repository includes 17 scenarios ranging from basic semantic search to MCP servers, multi-agent A2A networks, store intelligence reports, and GitHub Models integration.
How do I run a specific scenario?
Navigate to its folder under `scenarios/`, follow that scenario’s README, then use `dotnet run` in the host project or `azd up` for full deployment.
Where does data (e.g., vector embeddings) live?
Data storage varies by scenario: it can reside in in-memory vector DBs, Azure AI Search, Chroma DB, SQL Server 2025, or SQLite, as specified
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