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51 lines
2.2 KiB
C#
51 lines
2.2 KiB
C#
// Copyright (c) Microsoft. All rights reserved.
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// This sample shows how to expose an AI agent as an MCP tool.
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using Azure.AI.Projects;
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using Azure.Identity;
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using Microsoft.Agents.AI;
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using Microsoft.Extensions.AI;
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using ModelContextProtocol.Client;
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string endpoint = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_FOUNDRY_PROJECT_ENDPOINT is not set.");
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string deploymentName = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
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Console.WriteLine("Starting MCP Stdio for @modelcontextprotocol/server-github ... ");
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// Create an MCPClient for the GitHub server
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await using var mcpClient = await McpClient.CreateAsync(new StdioClientTransport(new()
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{
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Name = "MCPServer",
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Command = "npx",
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Arguments = ["-y", "--verbose", "@modelcontextprotocol/server-github"],
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}));
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// Retrieve the list of tools available on the GitHub server
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IList<McpClientTool> mcpTools = await mcpClient.ListToolsAsync();
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string agentName = "AgentWithMCP";
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// Get a client to create/retrieve/delete server side agents with Azure Foundry Agents.
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// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
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// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
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// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
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AIProjectClient aiProjectClient = new(new Uri(endpoint), new DefaultAzureCredential());
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Console.WriteLine($"Creating the agent '{agentName}' ...");
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// Define the agent you want to create. (Prompt Agent in this case)
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AIAgent agent = await aiProjectClient.CreateAIAgentAsync(
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name: agentName,
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model: deploymentName,
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instructions: "You answer questions related to GitHub repositories only.",
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tools: [.. mcpTools.Cast<AITool>()]);
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string prompt = "Summarize the last four commits to the microsoft/semantic-kernel repository?";
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Console.WriteLine($"Invoking agent '{agent.Name}' with prompt: {prompt} ...");
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// Invoke the agent and output the text result.
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Console.WriteLine(await agent.RunAsync(prompt));
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// Clean up the agent after use.
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await aiProjectClient.Agents.DeleteAgentAsync(agent.Name);
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