Microsoft Developer presents a practical video guide on building AI agents in Visual Studio Code using the AI Toolkit and Model Context Protocol. Discover how to extend your development workflow through four hands-on labs.

Summary

In this video tutorial from Microsoft Developer, viewers are introduced to the process of creating robust AI agents within Visual Studio Code. The focus is on hands-on learning through four practical labs that utilize both the AI Toolkit extension and the Model Context Protocol (MCP).

Key Topics Covered

  • Getting Started: The initial labs walk users through exploring available AI models and experimenting with prompt engineering directly in Visual Studio Code.
  • AI Toolkit Extension: Guidance on how to use this extension to integrate AI-powered features into your coding environment seamlessly.
  • Model Context Protocol (MCP): An introduction to MCP, its purpose for enhancing communication between models, and an explanation of its role in agent capability.
  • Agent Capabilities: Labs progress to empowering agents with real-world skills, such as browsing the internet and automating interactions with developer tools.
  • Custom MCP Server Development: Advanced labs guide viewers in building their own MCP server, enabling tailored, production-ready AI tools and intelligent assistants.

Learning Path

  • Beginner-Friendly: The video series starts at a foundational level, helping newcomers understand vocabulary and core mechanisms.
  • Progression Toward Real-World Application: By the end of the labs, participants will have experience with advanced capabilities, suitable for integration into actual development workflows.

Resources

These labs offer a practical pathway for developers interested in enhancing Visual Studio Code with AI-powered agents using Microsoft’s MCP and AI Toolkit technologies.