test

dotnet/samples/GettingStarted/Agents/Agent_Step10_AsMcpTool/Agent_Step10_AsMcpTool.csproj

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+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+
+    <Nullable>enable</Nullable>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <UserSecretsId>3afc9b74-af74-4d8e-ae96-fa1c511d11ac</UserSecretsId>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.Agents.Persistent" />
+    <PackageReference Include="Azure.Identity" />
+    <PackageReference Include="Microsoft.Extensions.Hosting" />
+    <PackageReference Include="ModelContextProtocol" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI.Persistent\Microsoft.Agents.AI.AzureAI.Persistent.csproj" />
+  </ItemGroup>
+  
+</Project>

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();

dotnet/samples/GettingStarted/Agents/Agent_Step10_AsMcpTool/README.md

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+This sample demonstrates how to expose an existing AI agent as an MCP tool.
+
+## Run the sample
+
+To run the sample, please use one of the following MCP clients: https://modelcontextprotocol.io/clients
+
+Alternatively, use the QuickstartClient sample from this repository: https://github.com/modelcontextprotocol/csharp-sdk/tree/main/samples/QuickstartClient
+
+## Run the sample using MCP Inspector
+
+To use the [MCP Inspector](https://modelcontextprotocol.io/docs/tools/inspector), follow these steps:
+
+1. Open a terminal in the Agent_Step10_AsMcpTool project directory.
+1. Run the `npx @modelcontextprotocol/inspector dotnet run` command to start the MCP Inspector. Make sure you have [node.js](https://nodejs.org/en/download/) and npm installed.
+   ```bash
+   npx @modelcontextprotocol/inspector dotnet run
+   ```
+1. When the inspector is running, it will display a URL in the terminal, like this:
+   ```
+   MCP Inspector is up and running at http://127.0.0.1:6274
+   ```
+1. Open a web browser and navigate to the URL displayed in the terminal. If not opened automatically, this will open the MCP Inspector interface.
+1. In the MCP Inspector interface, add the following environment variables to allow your MCP server to access Azure AI Foundry Project to create and run the agent:
+    - AZURE_FOUNDRY_PROJECT_ENDPOINT = https://your-resource.openai.azure.com/ # Replace with your Azure AI Foundry Project endpoint
+    - AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME = gpt-4o-mini # Replace with your model deployment name
+1. Find and click the `Connect` button in the MCP Inspector interface to connect to the MCP server.
+1. As soon as the connection is established, open the `Tools` tab in the MCP Inspector interface and select the `Joker` tool from the list.
+1. Specify your prompt as a value for the `query` argument, for example: `Tell me a joke about a pirate` and click the `Run Tool` button to run the tool.
+1. The agent will process the request and return a response in accordance with the provided instructions that instruct it to always start each joke with 'Aye aye, captain!'.