// Copyright (c) Microsoft. All rights reserved.
using System;
using System.Collections.Generic;
using System.Threading.Tasks;
using Microsoft.SemanticKernel;
using Microsoft.SemanticKernel.ChatCompletion;
using ModelContextProtocol.Client;
using ModelContextProtocol.Protocol;
namespace MCPClient.Samples;
///
/// Demonstrates how to use the Model Context Protocol (MCP) prompt with the Semantic Kernel.
///
internal sealed class MCPPromptSample : BaseSample
{
///
/// Demonstrates how to use the MCP prompt with the Semantic Kernel.
/// The code in this method:
/// 1. Creates an MCP client.
/// 2. Retrieves the list of prompts provided by the MCP server.
/// 3. Gets the current weather for Boston and Sydney using the `GetCurrentWeatherForCity` prompt.
/// 4. Adds the MCP server prompts to the chat history and prompts the AI model to compare the weather in the two cities and suggest the best place to go for a walk.
/// 5. After receiving and processing the weather data for both cities and the prompt, the AI model returns an answer.
///
public static async Task RunAsync()
{
Console.WriteLine($"Running the {nameof(MCPPromptSample)} sample.");
// Create an MCP client
McpClient mcpClient = await CreateMcpClientAsync();
// Retrieve and display the list of prompts provided by the MCP server
IList prompts = await mcpClient.ListPromptsAsync();
DisplayPrompts(prompts);
// Create a kernel
Kernel kernel = CreateKernelWithChatCompletionService();
// Get weather for Boston using the `GetCurrentWeatherForCity` prompt from the MCP server
GetPromptResult bostonWeatherPrompt = await mcpClient.GetPromptAsync("GetCurrentWeatherForCity", new Dictionary() { ["city"] = "Boston", ["time"] = DateTime.UtcNow.ToString() });
// Get weather for Sydney using the `GetCurrentWeatherForCity` prompt from the MCP server
GetPromptResult sydneyWeatherPrompt = await mcpClient.GetPromptAsync("GetCurrentWeatherForCity", new Dictionary() { ["city"] = "Sydney", ["time"] = DateTime.UtcNow.ToString() });
// Add the prompts to the chat history
ChatHistory chatHistory = [];
chatHistory.AddRange(bostonWeatherPrompt.ToChatMessageContents());
chatHistory.AddRange(sydneyWeatherPrompt.ToChatMessageContents());
chatHistory.AddUserMessage("Compare the weather in the two cities and suggest the best place to go for a walk.");
// Execute a prompt using the MCP tools and prompt
IChatCompletionService chatCompletion = kernel.GetRequiredService();
ChatMessageContent result = await chatCompletion.GetChatMessageContentAsync(chatHistory, kernel: kernel);
Console.WriteLine(result);
Console.WriteLine();
// The expected output is: Given these conditions, Sydney would be the better choice for a pleasant walk, as the sunny and warm weather is ideal for outdoor activities.
// The rain in Boston could make walking less enjoyable and potentially inconvenient.
}
///
/// Displays the list of available MCP prompts.
///
/// The list of the prompts to display.
private static void DisplayPrompts(IList prompts)
{
Console.WriteLine("Available MCP prompts:");
foreach (var prompt in prompts)
{
Console.WriteLine($"- Name: {prompt.Name}, Description: {prompt.Description}");
}
Console.WriteLine();
}
}