Visual Studio Code showcases how developers can leverage the Model Context Protocol (MCP) to interact with external tools, databases, and APIs through AI-powered integrations. Presented by the Visual Studio Code team.

Leveraging the Model Context Protocol (MCP) in Visual Studio Code

Presented by: Visual Studio Code team

Overview

Model Context Protocol (MCP) is an open standard that enables AI models to use external tools and services through a unified integration interface. This session demonstrates how developers can enhance their daily workflows in Visual Studio Code by connecting to MCP servers for additional capabilities.

What is MCP?

Open Standard: MCP provides a protocol for connecting AI models to various developer tools and external services.
Extensibility: Allows integration for diverse tasks (file operations, database queries, API calls) directly from your development environment.

Key Use Cases

File Operations: Performing CRUD operations on files through integrated AI workflows.
Database Management: Running database queries and managing schema using MCP-compliant tools.
API Interactions: Calling external or internal APIs for automation, data processing, or service integration.
Unified Interface: Centralized control via VS Code for streamlined productivity.

Hands-On Learning Resources

Microsoft Foundry Discord: Join the community
Azure Free Trial: Sign up
VS Code Lab Repository: Explore the lab repo
On-Demand Sessions: Catch up anytime
Next Learning Sessions: Register for future AI Dev Days
January Hackathon Registration: Join the hackathon

Conclusion

By leveraging MCP with Visual Studio Code, developers can expand the capabilities of their coding environment, streamline complex workflows, and make use of AI to automate everyday development tasks.

Further Learning

Visit the links above to connect with the developer community, try out labs, and access further hands-on content.