Builds an AI Agent using OpenAI models with any Model Context Protocol (MCP) server running on Azure Container Apps.
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This .NET sample demonstrates the creation of an AI agent that leverages Azure OpenAI models and communicates with a remote MCP server, showcasing a complete client-server architecture. The client application, built with .NET Blazor, interacts with a TypeScript-based MCP server, both deployed on Azure Container Apps (ACA). Security is enforced through ACA's built-in authentication for the client, while the server is exclusively accessible by the client, ensuring a secure and isolated environment for AI agent interactions.
Key Features
01MCP client app is written in .NET Blazor.
02MCP server app is only accessible from the MCP client app.
03Connects to a to-do MCP server written in TypeScript.
04MCP client app is secured by the built-in auth of ACA.
05Both MCP client and server apps are running on Azure Container Apps (ACA).
0611 GitHub stars
Use Cases
01Creating a to-do list agent that uses natural language prompts
02Securing communication between AI agents and MCP servers
