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Demonstrates two MCP integration layers in a single hosted agent: - Client-side MCP: McpClient connects to Microsoft Learn, agent handles tool invocations locally (docs_search, code_sample_search, docs_fetch) - Server-side MCP: HostedMcpServerTool delegates tool discovery and invocation to the LLM provider (Responses API), no local connection Includes DevTemporaryTokenCredential for Docker local debugging, Dockerfile.contributor for ProjectReference builds, and the openai/v1 route mapping for AIProjectClient compatibility in Development mode.
Get Started with Microsoft Agent Framework for C# Developers
Quickstart
Basic Agent - .NET
using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI;
using OpenAI.Responses;
var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")!;
var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME")!;
var agent = new AzureOpenAIClient(new Uri(endpoint), new AzureCliCredential())
.GetResponsesClient(deploymentName)
.AsAIAgent(name: "HaikuBot", instructions: "You are an upbeat assistant that writes beautifully.");
Console.WriteLine(await agent.RunAsync("Write a haiku about Microsoft Agent Framework."));
Examples & Samples
- Getting Started with Agents: basic agent creation and tool usage
- Agent Provider Samples: samples showing different agent providers
- Workflow Samples: advanced multi-agent patterns and workflow orchestration