eShopLite MCP Server

@Azure-Samples

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其他

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MIT

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stdio

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Azure-Samples

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

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该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

eShopLite MCP Server 工具

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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

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`).

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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