Join the August 5th livestream to master building MCP servers using Microsoft’s AI Toolkit for Visual Studio Code. Learn to integrate AI models with real-world tools through hands-on labs covering setup, integration, custom server creation, and a GitHub clone agent example.
Learn Together: Build an MCP Server with AI Toolkit
AI is evolving rapidly, but building truly useful AI apps needs more than smart models. Microsoft’s new livestream event on August 5th offers a hands-on deep dive into the Model Context Protocol (MCP) and the AI Toolkit for Visual Studio Code. If you’re into AI development, this is your chance to level up with practical skills and real-world workflows.
What’s New: MCP and AI Toolkit Explained
The Model Context Protocol (MCP) is an open standard that connects AI models to tools, data, and services seamlessly. Think of MCP as the “glue” that turns isolated AI models into intelligent applications. It handles everything from API integration to orchestrating multi-agent workflows.
Paired with the AI Toolkit for VS Code, MCP becomes even easier to work with. The toolkit offers an interactive playground, built-in server tools, and smooth model integration—all inside your favorite editor. This combo helps you move from idea to prototype without switching environments.
“The magic of MCP is in its modularity. It gives developers a structured way to define tools, link models, and control interactions.”
Major Updates: What You’ll Learn in the Livestream
The event features four practical modules designed for hands-on learning:
- Module 1: Install and explore the AI Toolkit’s features like the model catalog and agent builder. Build your first agent and test models live.
- Module 2: Dive into MCP by integrating existing MCP servers with your agents. Learn how to connect external tools into your AI workflows.
- Module 3: Build and debug your own custom MCP server using the Python SDK. Includes real examples like a weather tool and local testing.
- Module 4: Create a GitHub clone MCP server that mimics real dev workflows. Integrate with VS Code and enable GitHub Copilot’s Agent Mode.
“This workshop is more than a demo—it’s a full walkthrough of modern, production-aware AI development.”
Why MCP + AI Toolkit Matters
MCP’s modular design lets developers define reusable tools and control complex AI interactions in a language-agnostic way. The AI Toolkit adds telemetry, evaluation, and debugging tools that simplify development. Together, they empower you to build smarter AI agents that automate tasks or connect enterprise systems effectively.
Save the Date & Register
Don’t miss this unique opportunity to build alongside Microsoft experts. The livestream on August 5th is perfect for anyone serious about AI agent development. Register now and start building intelligent AI applications with MCP and the AI Toolkit!
- Explore the Model Context Protocol (MCP) as a modular standard for connecting AI models to tools and services.
- Hands-on modules guide you from installing the AI Toolkit to building fully functional AI agents.
- Learn to create and debug custom MCP servers using the latest Python SDK and MCP Inspector.
- Build a production-grade GitHub clone MCP server featuring smart repo cloning and VS Code integration.
- Experience a seamless development workflow with built-in testing, telemetry, and evaluation tools in VS Code.
From the Microsoft Developer Community Blog articles
