dotnet introduces how to build remote Model Context Protocol (MCP) servers using .NET and Azure, highlighting new features and unlocking collaboration, automation, and scalable hosting options for developers.

Building Remote MCP Servers with .NET and Azure

This session demonstrates how AI assistants can utilize the Model Context Protocol (MCP) to connect with external tools and data sources by building remote MCP servers with .NET and Azure. The approach enhances automation, improves scalability, and allows flexible hosting—making it suitable for both local prototypes and cloud deployments.

Key Benefits of Remote MCP Servers

  • Automation: Seamless integration with external systems and processes.
  • Collaboration: Shared access to context-aware servers for teams and applications.
  • Scalability: Azure hosting allows dynamic scaling as workloads grow.
  • Flexible Hosting: Choose between local and cloud-based deployments.
  • .NET 10: The most intelligent and unified version of .NET – Learn more
  • .NET Aspire 13: Simplified orchestration for cloud-native apps – Learn more
  • ASP.NET Core 10: Modern, secure full-stack web development – Learn more
  • .NET MAUI 10: Build cross-platform, beautiful apps – Learn more
  • C# 14 and F# 10: More expressive, productive, and functional languages – C#, F#
  • Visual Studio 2026: Faster, smarter IDE – Learn more
  • Azure: Scalable, reliable cloud platform for hosting MCP servers

Getting Started

  1. Set up your development environment:
    • Install the latest version of .NET
    • Use Visual Studio 2026 for streamlined workflows
  2. Build your MCP server:
    • Leverage ASP.NET Core 10 for secure APIs
    • Integrate MCP libraries and protocols
  3. Experiment locally:
    • Test server functionality before cloud deployment
  4. Deploy to Azure:
    • Utilize .NET Aspire 13 orchestration for robust cloud-native hosting
    • Monitor, scale, and manage instances via Azure Portal

Further Learning and Community Resources

Recap

Building remote MCP servers using .NET and Azure enables developers to create scalable, flexible, and collaborative environments for AI assistants and tool integration. Explore new features in the .NET ecosystem to streamline your development process and leverage cloud-native hosting with Azure.