Using MCP Tools for your AI Agent

var clientTransport = new StdioClientTransport(new StdioClientTransportOptions
{
    Name = "Playwright",
    Command = "npx",
    Arguments = ["-y", "@playwright/mcp@latest"],
});

var client = await McpClient.CreateAsync(clientTransport);
var playwrightTools = (await client.ListToolsAsync()).Cast<AITool>().ToList();

builder.Services.AddSingleton((sp) =>
{
    var agent = new ChatClientBuilder(new AzureOpenAIClient(new Uri(endpoint), new ApiKeyCredential(apiKey))
        .GetChatClient(deployment)
        .AsIChatClient())
        .BuildAIAgent(instructions: instructions, "WebExplorerAgent", tools: playwrightTools);
    return agent;
});

var instructions = $"You're a web development expert who helps users to check their websites for issues and improvements. Explore the website provided by the user and generate a detailed report in JSON format covering aspects such as performance, SEO, accessibility, best practices, and security. Provide actionable recommendations for each identified issue to help improve the overall quality of the website. Use the tools at your disposal to gather necessary data and insights about the website.";

app.MapGet("/explore", async ([FromQuery] string website, [FromServices] ChatClientAgent agent,
    CancellationToken cancellationToken) =>
{
    var response = await agent.RunAsync($"website : {website}", cancellationToken: cancellationToken);
    var jsonResponse = JsonSerializer.Deserialize<object>(response.Text);
    return Results.Ok(jsonResponse);
});