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