chore: import upstream snapshot with attribution

dotnet/samples/02-agents/ModelContextProtocol/Agent_MCP_Server/Program.cs

@@ -0,0 +1,36 @@
+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample shows how to create and use a simple AI agent with tools from an MCP Server.
+
+using Azure.AI.OpenAI;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Extensions.AI;
+using ModelContextProtocol.Client;
+using OpenAI.Chat;
+
+var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
+
+// Create an MCPClient for the GitHub server
+await using var mcpClient = await McpClient.CreateAsync(new StdioClientTransport(new()
+{
+    Name = "MCPServer",
+    Command = "npx",
+    Arguments = ["-y", "--verbose", "@modelcontextprotocol/server-github"],
+}));
+
+// Retrieve the list of tools available on the GitHub server
+var mcpTools = await mcpClient.ListToolsAsync().ConfigureAwait(false);
+
+// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
+// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
+// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
+AIAgent agent = new AzureOpenAIClient(
+    new Uri(endpoint),
+    new DefaultAzureCredential())
+     .GetChatClient(deploymentName)
+     .AsAIAgent(instructions: "You answer questions related to GitHub repositories only.", tools: [.. mcpTools.Cast<AITool>()]);
+
+// Invoke the agent and output the text result.
+Console.WriteLine(await agent.RunAsync("Summarize the last four commits to the microsoft/semantic-kernel repository?"));