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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"

The sample creates a toolbox named research_toolbox in your Foundry project on startup, then connects to its MCP endpoint at {AZURE_AI_PROJECT_ENDPOINT}/toolboxes/research_toolbox/mcp?api-version=v{version}.

Run the sample

dotnet run