// 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?"));
