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agent-framework/dotnet/samples/GettingStarted/ModelContextProtocol/FoundryAgent_Hosted_MCP/Program.cs
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Mark Wallace 2b4ff5f076 .NET: Sample for the MCP and Foundry Agents documentation (#972)
* Foundry Agent MCP

* Foundry Agent MCP

* Use Foundry SDK directly

* Use raw representation factory

* Fix typo

---------

Co-authored-by: Mark Wallace <markwallace@microsoft.com>
2025-10-01 07:37:12 +00:00

57 lines
2.2 KiB
C#

// Copyright (c) Microsoft. All rights reserved.
// This sample shows how to create and use a simple AI agent with Azure Foundry Agents as the backend.
using System;
using Azure.AI.Agents.Persistent;
using Azure.Identity;
using Microsoft.Agents.AI;
var endpoint = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_FOUNDRY_PROJECT_ENDPOINT is not set.");
var model = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_MODEL_ID") ?? "gpt-4.1-mini";
const string AgentName = "MicrosoftLearnAgent";
const string AgentInstructions = "You answer questions by searching the Microsoft Learn content only.";
// Get a client to create/retrieve server side agents with.
var persistentAgentsClient = new PersistentAgentsClient(endpoint, new AzureCliCredential());
// Create an MCP tool definition that the agent can use.
var mcpTool = new MCPToolDefinition(
serverLabel: "microsoft_learn",
serverUrl: "https://learn.microsoft.com/api/mcp");
mcpTool.AllowedTools.Add("microsoft_docs_search");
// Create a server side persistent agent with the Azure.AI.Agents.Persistent SDK.
var agentMetadata = await persistentAgentsClient.Administration.CreateAgentAsync(
model: model,
name: AgentName,
instructions: AgentInstructions,
tools: [mcpTool]);
// Retrieve an already created server side persistent agent as an AIAgent.
AIAgent agent = await persistentAgentsClient.GetAIAgentAsync(agentMetadata.Value.Id);
// Create run options to configure the agent invocation.
var runOptions = new ChatClientAgentRunOptions()
{
ChatOptions = new()
{
RawRepresentationFactory = (_) => new ThreadAndRunOptions()
{
ToolResources = new MCPToolResource(serverLabel: "microsoft_learn")
{
RequireApproval = new MCPApproval("never"),
}.ToToolResources()
}
}
};
// You can then invoke the agent like any other AIAgent.
AgentThread thread = agent.GetNewThread();
var response = await agent.RunAsync("Please summarize the Azure AI Agent documentation related to MCP Tool calling?", thread, runOptions);
Console.WriteLine(response);
// Cleanup for sample purposes.
await persistentAgentsClient.Administration.DeleteAgentAsync(agent.Id);