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About

This repository provides a hands-on lab environment for understanding and deploying a Model Context Protocol (MCP) server, specifically designed for seamless integration with AI-powered applications such as Microsoft Copilot Studio and GitHub Copilot. It guides users through setting up an MCP server, either locally via development tunnels or by deploying to Azure, and demonstrates how to connect it to AI models to enhance their capabilities with external data sources and tools, leveraging the benefits of standardized context provision.

Key Features

• Facilitates Model Context Protocol (MCP) server deployment
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• Demonstrates enhanced AI model capabilities with external data
• Integrates with Microsoft Copilot Studio via custom connectors
• Utilizes Azure Developer CLI for simplified deployment
• Supports local execution via dev tunnels or Azure deployment

Use Cases

• Demonstrating Model Context Protocol capabilities for AI applications
• Extending Microsoft Copilot Studio with custom data sources and APIs
• Learning to deploy and integrate MCP servers