Microsoft Reactor Middle East & Africa

Explore how to leverage multi-agent systems in your applications to optimize operations, automate recommendations, and enhance customer experience. The solution utilizes Microsoft Agent Framework, OpenAI ChatKit and NVIDIA Nemotron model on Microsoft Foundry to seamlessly connect with store databases, integrate human oversight, and deploy scalable chat agents.

This approach enables real-time analytics, predictive insights, and personalized interactions, resulting in improved decision-making, operational efficiency, and a superior user experience for both store managers and customers.

📌 This session is a part of a series, learn more here!

In our second session of the Python + MCP series, we're deploying MCP servers to the cloud! We'll walk through the process of containerizing a FastMCP server with Docker and deploying to Azure Container Apps, and also demonstrate a FastMCP server running directly on Azure Functions.

Then we'll explore private networking options for MCP servers, using virtual networks that restrict external access to internal MCP tools and agents.

In our third session of the Python + MCP series, we're exploring the best ways to build authentication layers on top of your MCP servers. That could be as simple as an API key to gate access, but for the servers that provide user-specific data, we need to use an OAuth2-based authentication flow.

MCP authentication is built on top of OAuth2 but with additional requirements like PRM and DCR/CIMD, which can make it difficult to implement fully. In this session, we'll demonstrate the full MCP auth flow, and provide examples that implement MCP Auth on top of Microsoft Entra.