The .NET Insider – Issue 10

Microsoft announces the public preview of the Azure Model Context Protocol (MCP) Server, enabling AI agents to leverage Azure resources like file storage, database querying, and CLI commands. This open-source project aims to streamline AI integration with Azure services.

The second preview of the .NET AI Chat Web App template introduces support for .NET Aspire and integration with the Qdrant vector database, simplifying the creation of cloud-native AI-powered chat applications.

This article guides developers on creating remote MCP servers using Azure Functions, facilitating seamless integration with GitHub Copilot and other LLM-based applications. It highlights the use of the Microsoft.Azure.Functions.Worker.Extensions.Mcp NuGet package.

Microsoft introduces the official SignalR Swift client in public preview, allowing iOS developers to add real-time features like chat and live dashboards to their apps without relying on community-built solutions.

The AI Dev Gallery is a Windows application that serves as a comprehensive playground for AI development using .NET. It provides interactive local AI samples, easy model downloads, and source code export, all built with .NET AI building blocks.

Andrew Lock investigates experimental dependency injection scopes in .NET, such as tenant, pooled, and drifter lifetimes, providing insights into their implementation and use cases.

This article explores implementing keyset (cursor) pagination in ASP.NET Core using EF Core, offering a more efficient alternative to offset-based pagination for large datasets.

This article introduces the null-conditional assignment operator in C#, offering a cleaner syntax for handling null values and reducing boilerplate code.

Ali Hamza Ansari discusses the scenarios where GraphQL is beneficial in .NET applications, providing a step-by-step guide to building a GraphQL API using HotChocolate.

This article demonstrates integrating OpenTelemetry in ASP.NET Core applications and exporting data to Azure Monitor, enabling comprehensive observability through logs, metrics, and traces.