Google Deepmind adds background execution and MCP support to Gemini API managed agents
Quick Answer
Google Deepmind enhances its Gemini API with four new features for Managed Agents, including Background Execution for asynchronous operations, direct MCP server integration, custom function support, and token refresh capabilities without sandbox state loss.
Quick Take
Google Deepmind enhances its Gemini API with four new features for Managed Agents, including Background Execution for asynchronous operations, direct server integration, custom function support, and token refresh capabilities without sandbox state loss. These updates aim to improve developer flexibility and efficiency.
Key Points
- Background Execution allows agents to run asynchronously without open HTTP connections.
- Remote MCP servers can connect directly to internal databases or APIs.
- Developers can now use custom functions alongside built-in sandbox tools.
- Token credentials can be refreshed between interactions without losing sandbox state.
- All features are accessible via the Gemini Interactions API with code examples provided.
📖 Reader Mode
~1 min read
Jul 8, 2026
Google Deepmind is adding four new features to Managed Agents in the Gemini API. Developers can now run agents asynchronously in the background using Background Execution, with no open HTTP connection required. Remote MCP (Model Context Protocol) servers can also be connected directly to internal databases or APIs. Another addition lets developers use custom functions alongside the built-in sandbox tools. Finally, credentials like tokens can be refreshed between interactions without losing the sandbox state.
All features are available through the Gemini Interactions API. Code examples for JavaScript, Python, and cURL are in the documentation.
— Originally published at the-decoder.com
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