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.

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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.

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What is the 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.

What you get

The project includes several scenarios demonstrating different capabilities:

Modern .NET application architecture with .NET Aspire
Various search capabilities (keyword search, semantic search)
Integration with multiple AI models (GPT-4o, DeepSeek-R1, etc.)
Vector database implementations (In Memory, Azure AI Search, Chroma DB and others)
Real-time audio capabilities
Model Context Protocol (MCP) server and client implementation

Configuration and credentials

.NET 10 - Docker Desktop or Podman - Azure Developer CLI (azd) (for Azure deployment) - Git - Aspire CLI — install with dotnet tool install -g aspire.cli (used for setting local

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Configuration

.NET 10 - Docker Desktop or Podman - Azure Developer CLI (azd) (for Azure deployment) - Git - Aspire CLI — install with dotnet tool install -g aspire.cli (used for setting local