test

dotnet/samples/GettingStarted/Agents/Agent_Step10_AsMcpTool/Program.cs

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+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample shows how to expose an AI agent as an MCP tool.
+
+using Azure.AI.Agents.Persistent;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Extensions.DependencyInjection;
+using Microsoft.Extensions.Hosting;
+using ModelContextProtocol.Server;
+
+var endpoint = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_FOUNDRY_PROJECT_ENDPOINT is not set.");
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+
+var persistentAgentsClient = new PersistentAgentsClient(endpoint, new AzureCliCredential());
+
+// Create a server side persistent agent
+var agentMetadata = await persistentAgentsClient.Administration.CreateAgentAsync(
+    model: deploymentName,
+    instructions: "You are good at telling jokes, and you always start each joke with 'Aye aye, captain!'.",
+    name: "Joker",
+    description: "An agent that tells jokes.");
+
+// Retrieve the server side persistent agent as an AIAgent.
+AIAgent agent = await persistentAgentsClient.GetAIAgentAsync(agentMetadata.Value.Id);
+
+// Convert the agent to an AIFunction and then to an MCP tool.
+// The agent name and description will be used as the mcp tool name and description.
+McpServerTool tool = McpServerTool.Create(agent.AsAIFunction());
+
+// Register the MCP server with StdIO transport and expose the tool via the server.
+HostApplicationBuilder builder = Host.CreateEmptyApplicationBuilder(settings: null);
+builder.Services
+    .AddMcpServer()
+    .WithStdioServerTransport()
+    .WithTools([tool]);
+
+await builder.Build().RunAsync();