The DropJuly 8, 2026via The Decoder
Google Deepmind adds background execution and MCP support to Gemini API managed agents
Why it matters
Google is expanding the Gemini API's managed agents product with infrastructure features (async background execution, MCP server integration, credential refresh) that reduce friction for developers building production AI applications. This positions Gemini agents as a viable alternative to custom agent frameworks and signals Google's competitive push in the agent-as-a-service market.
Key signals
- Four new features added to Managed Agents in Gemini API
- Asynchronous background execution capability
- Direct MCP (Model Context Protocol) server integration
- Custom function support alongside sandbox tools
- Stateful credential refresh without state loss
- Published July 2026 — recent product iteration
The hook
Google's Gemini API agents just got async execution and MCP support—now developers can build stateful, long-running AI workflows without the complexity.
Google Deepmind is adding four new features to Managed Agents in the Gemini API. Agents can now run asynchronously in the background, connect directly to remote MCP servers, use custom functions alongside sandbox tools, and refresh credentials without losing state.