Gemini API Agents Get Background Tasks, MCP Support
Curated by the Inblix editorial team
Google dropped a big update for its Managed Agents in the Gemini API, focusing on making them more production-ready. The biggest change is background execution—instead of keeping an HTTP connection open for long tasks (which is fragile), you can now set background: true and get back an ID to poll or stream progress later. That’s huge for building reliable apps.
They’ve also added direct support for remote MCP (Model Context Protocol) servers, so you can connect agents to private databases or internal APIs without writing custom middleware. Plus, you can mix custom function calling with built-in sandbox tools for more flexible workflows.
Another neat feature: network credential refresh. If your access tokens expire, just pass a new config with the same environment ID, and the sandbox keeps its files, packages, and repos intact.
Why it matters: This turns managed agents from simple demos into real asynchronous workers that can handle complex, long-running tasks without blocking your app—a critical step for deploying AI agents in production environments.
💡 Key Takeaways
- Background execution allows agents to run asynchronously, returning an ID for polling or streaming progress instead of keeping a fragile HTTP connection open.
- New remote MCP server integration lets agents directly access private databases and APIs without custom middleware, mixing remote tools with built-in sandbox capabilities.
- Network credentials can now be refreshed without losing sandbox state, including files, installed packages, and cloned repositories.
Keep reading: See related articles below for more coverage on this topic.
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