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Ben Thomas
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* .NET: Remove Foundry Toolbox server-side tools support Mirrors the Python cleanup in microsoft/agent-framework#5671. Passing toolbox tools as server-side Responses tools is not the experience we want to support; the hosted-agent MCP toolbox path (HostedMcpToolboxAITool + FoundryToolboxService) remains the supported way to consume Foundry Toolboxes. Removed: - FoundryToolbox static class (GetToolboxVersionAsync / GetToolsAsync / ToAITools / SanitizeAndConvert) - AIProjectClient.GetToolboxToolsAsync extension - Agent_Step25_ToolboxServerSideTools sample (+ slnx entry) - FoundryToolboxTests, TestDataUtil, HttpHandlerAssert, and the toolbox JSON fixtures only those tests referenced - ToolboxHostedAgentTests and ToolboxHostedAgentFixture; the "toolbox" switch arm + CreateToolboxAgent helper in TestContainer; matching README scenario row and bootstrap script entry Kept (MCP path, unchanged): - HostedMcpToolboxAITool, FoundryAITool.CreateHostedMcpToolbox, FoundryAIToolExtensions.CreateHostedMcpToolbox(ToolboxRecord/Version) - FoundryToolboxService, AddFoundryToolboxes, marker injection in AgentFrameworkResponseHandler, InputConverter.ReadMcpToolboxMarkers - Hosted-Toolbox sample, McpToolbox* tests, FoundryToolboxServiceTests Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * .NET: Add Foundry Toolbox MCP sample (Agent_Step25_FoundryToolboxMcp) Adds a non-hosted-agent equivalent of the Python foundry_chat_client_with_toolbox.py sample. The agent connects to a Foundry Toolbox's MCP endpoint via Streamable HTTP, injects a fresh Azure AI bearer token on every request, and discovers the toolbox's tools at runtime via McpClient.ListToolsAsync. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * .NET: Tighten Agent_Step25_FoundryToolboxMcp README/Program comments Drop 'non-hosted agent' framing from README (this sample isn't related to hosted agents) and remove narrative comparison to server-side tools from the Program.cs header comment. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Drop python sample reference from Agent_Step25 README Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Drop incorrect .NET 10 prereq from Agent_Step25 README Toolboxes don't require .NET 10 (Microsoft.Agents.AI.Foundry targets net8.0+); the parent AgentsWithFoundry README already lists the sample SDK prereq. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> * Fix Toolsets api-version in Agent_Step25 example endpoint Use 2025-05-01-preview to match FoundryToolboxOptions.ApiVersion. The placeholder 'v1' is not accepted by the Toolsets endpoint. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com> --------- Co-authored-by: alliscode <bentho@microsoft.com> Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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Foundry Toolbox via MCP
This sample shows how to use a Foundry Toolbox by pointing an McpClient at the toolbox's MCP endpoint. The agent discovers the toolbox's tools at runtime and invokes them locally over MCP.
What this sample demonstrates
- Connecting to a Foundry toolbox's MCP endpoint via Streamable HTTP transport
- Injecting a fresh Azure AI bearer token (
https://ai.azure.com/.default) on every MCP request - Passing the discovered MCP tools to
AIProjectClient.AsAIAgent(...) - Optional helper to create (or replace) a sample toolbox in the project so the sample is runnable end-to-end
Prerequisites
- A Microsoft Foundry project with a toolbox configured (or let the sample create one for you)
- Azure CLI installed and authenticated (
az login)
Set the following environment variables:
$env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"
$env:FOUNDRY_TOOLBOX_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project/toolsets/research_toolbox/mcp?api-version=2025-05-01-preview"
The <name> segment of FOUNDRY_TOOLBOX_ENDPOINT must match the ToolboxName constant in Program.cs.
Run the sample
dotnet run