We’re also introducing new features in the Responses API that improve reliability, visibility, and privacy for enterprises and developers. These include background mode⁠(opens in a new window) to handle long-running tasks asynchronously and more reliably, support for reasoning summaries⁠(opens in a new window), and support for encrypted reasoning items⁠(opens in a new window).

Since releasing the Responses API in March 2025 with tools like web search, file search, and computer use, hundreds of thousands of developers have used the API to process trillions of tokens across our models. Customers have used the API to build a variety of agentic applications, including Zencoder⁠(opens in a new window)’s coding agent, Revi⁠(opens in a new window)’s market intelligence agent for private equity and investment banking, and MagicSchool AI⁠(opens in a new window)'s education assistant—all of which use web search to pull relevant, up-to-date information into their app. Now developers can build agents that are even more useful and reliable with access to the new tools and features released today.

We’re adding support for remote MCP servers⁠(opens in a new window) in the Responses API, building on the release of MCP support in the Agents SDK⁠(opens in a new window). MCP is an open protocol that standardizes how applications provide context to LLMs. By supporting MCP servers in the Responses API, developers will be able to connect our models to tools hosted on any MCP server with just a few lines of code. Here are some examples showing how developers can use remote MCP servers with the Responses API today:

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Popular remote MCP servers include Cloudflare⁠(opens in a new window), HubSpot⁠(opens in a new window), Intercom⁠(opens in a new window), PayPal⁠(opens in a new window), Plaid⁠(opens in a new window), Shopify⁠(opens in a new window), Stripe⁠(opens in a new window), Square⁠(opens in a new window), Twilio⁠(opens in a new window), Zapier⁠(opens in a new window), and more. We expect the ecosystem of remote MCP servers to grow quickly in the coming months, making it easier for developers to build powerful agents that can connect to the tools and data sources their users already rely on. In order to best support the ecosystem and contribute to this developing standard, OpenAI has also joined the steering committee for MCP.