Agents are rapidly evolving beyond chat. The first generation of agents waited for a person to send a message. Today, organizations want agents that can monitor work, respond to business events, and continue tasks over time. An agent might triage a newly opened GitHub issue, respond when a message appears in a Microsoft Teams channel, prepare a rep...

How Toolboxes in Foundry simplify user delegation At some point, many agents move from answering questions to taking action. And when it does, the question becomes: whose identity is it acting with? Imagine you are building an internal employee agent.  It needs to call a private, Entra-protected MCP server for orders, and it also needs to use Mi...

Tooling doesn’t break at a small scale—it breaks when teams move to production. AI adoption accelerates, so does the number of tools available to them. Discovering, managing and securing the right tools has quickly become one of the biggest challenges in building production-grade agents. Today, we are announcing new capabilities in Toolboxes in Fou...

Available in Public Preview Today   Toolbox is a new way to curate, configure, and reuse tools across all of your AI agents without rewiring them every time from Foundry.  Today, teams build agents across different frameworks and runtimes. Each agent often wires tools directly, with its own authentication, credentials, and integration code. As ...

Overview  We are excited to announce Computer Use—are now available in preview in Azure AI Foundry Agent Service. It brings feature parity with the Azure OpenAI Responses API, but with the added advantage of seamless integration into the Foundry agent runtime and enterprise security. With this release, developers can create agents that not only re...

Overview  Today, we are excited to announce the Browser Automation Tool (Preview) as the newest action tool in Azure AI Foundry Agent Service through API and SDK. This tool enables developers to build agents capable of performing real-world browser tasks—such as searching, navigating, filling forms, booking appointments, and more—through natural l...

Generative-AI agents only become useful when they can do things—query systems of record, trigger workflows, or look up specialized knowledge. Until now that meant hand-rolling Azure Functions, managing OpenAPI specs, or writing custom plug-ins for every backend you own.  MCP changes the economics: it is an open, JSON-RPC–based protocol—originall...