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.NET: Add Foundry Toolbox MCP skills discovery sample (#6134)
* feat: add Agent_Step26_FoundryToolboxMcpSkills sample Add a new sample demonstrating MCP-based skills discovery from a Foundry Toolbox endpoint using AgentSkillsProviderBuilder and AIContextProviders. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * fix: address PR review comments for Step26 sample - Add Foundry-Features: Toolboxes=V1Preview header to MCP transport options, matching the Step25 pattern - Document skill://index.json prerequisite in README Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Update dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step26_FoundryToolboxMcpSkills/Program.cs Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com> --------- Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com>
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<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step23_LocalMCP/Agent_Step23_LocalMCP.csproj" />
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<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step24_CodeInterpreterFileDownload/Agent_Step24_CodeInterpreterFileDownload.csproj" />
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<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step25_FoundryToolboxMcp/Agent_Step25_FoundryToolboxMcp.csproj" />
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<Project Path="samples/02-agents/AgentsWithFoundry/Agent_Step26_FoundryToolboxMcpSkills/Agent_Step26_FoundryToolboxMcpSkills.csproj" />
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</Folder>
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<Folder Name="/Samples/02-agents/Evaluation/">
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<Project Path="samples/02-agents/Evaluation/Evaluation_CustomEvals/Evaluation_CustomEvals.csproj" />
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<Project Sdk="Microsoft.NET.Sdk">
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<PropertyGroup>
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<OutputType>Exe</OutputType>
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<TargetFrameworks>net10.0</TargetFrameworks>
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<Nullable>enable</Nullable>
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<ImplicitUsings>enable</ImplicitUsings>
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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="Azure.AI.Projects" />
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<PackageReference Include="Azure.Identity" />
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<PackageReference Include="ModelContextProtocol" />
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</ItemGroup>
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<ItemGroup>
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<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
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<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.Mcp\Microsoft.Agents.AI.Mcp.csproj" />
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</ItemGroup>
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</Project>
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// Copyright (c) Microsoft. All rights reserved.
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// Foundry Toolbox MCP Skills.
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//
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// Uses AgentSkillsProviderBuilder to discover MCP-based skills from a Foundry
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// Toolbox endpoint and inject them as AIContextProviders so the agent can
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// discover and use them at runtime.
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using System.Net.Http.Headers;
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using Azure.AI.Projects;
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using Azure.Core;
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using Azure.Identity;
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using Microsoft.Agents.AI;
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using ModelContextProtocol.Client;
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// --- Configuration ---
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string endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT")
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?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
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string deploymentName = Environment.GetEnvironmentVariable("AZURE_AI_MODEL_DEPLOYMENT_NAME") ?? "gpt-5.4-mini";
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string toolboxMcpServerUrl = Environment.GetEnvironmentVariable("FOUNDRY_TOOLBOX_MCP_SERVER_URL")
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?? throw new InvalidOperationException("FOUNDRY_TOOLBOX_MCP_SERVER_URL is not set.");
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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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TokenCredential credential = new DefaultAzureCredential();
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using var httpClient = new HttpClient(new BearerTokenHandler(credential, "https://ai.azure.com/.default")
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{
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InnerHandler = new HttpClientHandler(),
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});
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// --- Connect to the Foundry Toolbox MCP endpoint ---
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await using McpClient mcpClient = await McpClient.CreateAsync(
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new HttpClientTransport(
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new HttpClientTransportOptions
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{
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Endpoint = new Uri(toolboxMcpServerUrl),
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Name = "foundry_toolbox",
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TransportMode = HttpTransportMode.StreamableHttp,
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AdditionalHeaders = new Dictionary<string, string>
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{
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["Foundry-Features"] = "Toolboxes=V1Preview",
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},
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},
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httpClient));
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// --- Discover MCP-based skills ---
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var skillsProvider = new AgentSkillsProviderBuilder()
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.UseMcpSkills(mcpClient)
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.Build();
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// --- Create the agent ---
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AIProjectClient aiProjectClient = new(new Uri(endpoint), credential);
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AIAgent agent = aiProjectClient.AsAIAgent(
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options: new ChatClientAgentOptions
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{
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Name = "ToolboxMcpSkillsAgent",
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ChatOptions = new()
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{
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ModelId = deploymentName,
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Instructions = "You are a helpful assistant. Use available skills to answer the user.",
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},
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AIContextProviders = [skillsProvider],
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});
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// --- Interactive prompt ---
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Console.Write("User: ");
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string? query = Console.ReadLine();
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if (string.IsNullOrWhiteSpace(query))
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{
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Console.WriteLine("No input provided.");
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return;
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}
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Console.WriteLine($"Assistant: {await agent.RunAsync(query)}");
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// ---------------------------------------------------------------------------
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// DelegatingHandler: attaches a fresh Foundry bearer token to every request
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// ---------------------------------------------------------------------------
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internal sealed class BearerTokenHandler(TokenCredential credential, string scope) : DelegatingHandler
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{
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private readonly TokenRequestContext _tokenContext = new([scope]);
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protected override async Task<HttpResponseMessage> SendAsync(HttpRequestMessage request, CancellationToken cancellationToken)
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{
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AccessToken token = await credential.GetTokenAsync(this._tokenContext, cancellationToken).ConfigureAwait(false);
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request.Headers.Authorization = new AuthenticationHeaderValue("Bearer", token.Token);
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return await base.SendAsync(request, cancellationToken).ConfigureAwait(false);
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}
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}
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+32
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# Foundry Toolbox MCP Skills
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This sample uses
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`AgentSkillsProviderBuilder` to discover MCP-based skills from a Foundry Toolbox endpoint
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and inject them as `AIContextProviders` so the agent can discover and use them at runtime.
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## What this sample demonstrates
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- Connecting to a Foundry toolbox's MCP endpoint via Streamable HTTP transport
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- Injecting a fresh Azure AI bearer token (`https://ai.azure.com/.default`) on every MCP request
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- Using `AgentSkillsProviderBuilder.UseMcpSkills(client)` to discover skills from the toolbox
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- Injecting the discovered skills into `AIProjectClient.AsAIAgent(...)` via `AIContextProviders`
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## Prerequisites
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- A Microsoft Foundry project with a toolbox already configured
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- The toolbox MCP endpoint must expose `skill://index.json` with `skill-md` entries (SEP-2640). If the resource is absent, the sample runs but the skills provider will be empty.
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- Azure CLI installed and authenticated (`az login`)
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Set the following environment variables:
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```powershell
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$env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
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$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
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$env:FOUNDRY_TOOLBOX_MCP_SERVER_URL="https://your-foundry-service.services.ai.azure.com/api/projects/your-project/toolboxes/your-toolbox/mcp?api-version=v1"
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```
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## Run the sample
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```powershell
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dotnet run
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```
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@@ -74,6 +74,7 @@ Some samples require extra tool-specific environment variables. See each sample
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| [Local MCP](./Agent_Step23_LocalMCP/) | Local MCP client with HTTP transport |
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| [Code interpreter file download](./Agent_Step24_CodeInterpreterFileDownload/) | Download container files generated by code interpreter |
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| [Foundry toolbox via MCP](./Agent_Step25_FoundryToolboxMcp/) | Use a Foundry Toolbox from a non-hosted agent via its MCP endpoint |
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| [Foundry toolbox MCP skills](./Agent_Step26_FoundryToolboxMcpSkills/) | Use a Foundry Toolbox with MCP-based skills discovery (SEP-2640) via AIContextProviders |
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## Running the samples
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