Gemini API Expands: Background Tasks and Remote MCP in Managed Agents
Google DeepMind is launching new features for Managed Agents in the Gemini API, including background execution, integration with remote MCP servers, custom functions, and credential refreshing. These enhancements are designed to simplify the development of stable AI agents.
What happened?
Google DeepMind has announced expanded capabilities for Managed Agents within the Gemini API. New features include support for background execution for asynchronous interactions, seamless connection to remote MCP (Model Context Protocol) servers, custom function calling, and credential refreshing across interactions. These updates directly address developer feedback and product requirements.
Key facts
”We’re adding support for new capabilities like background execution for async interactions, easy connection to remote MCP servers, custom functions and credential refresh.”
”Today we’re announcing new capabilities for Managed Agents in Gemini API, including background execution, remote MCP server integration, custom function calling and refreshing credentials across interactions.”
Why it matters
The expansion of Gemini API's Managed Agents aims to enable the development of more reliable and production-ready AI agents. Background execution and remote MCP integration simplify the management of complex tasks and distributed systems. The ability to use custom function calling provides developers with greater flexibility and control, potentially leading to more advanced and tailored applications.
Who is affected?
Affected parties primarily include developers using the Gemini API to build AI agents. Companies investing in or building applications based on the Gemini platform will also benefit from the improved capabilities. End users may indirectly benefit from more robust and functional AI services.
What else you should know
Managed Agents in the Gemini Interactions API handle reasoning, code execution, package management, file handling, and web information within an isolated cloud sandbox. This reduces complexity for developers and increases security. Developers can use the JavaScript SDK, and documentation is available for Python and cURL.
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