Skip to content
ATAI Today Brief
HomeNewsConceptsGuidesToolbox
AboutSubscribeUA
Subscribe

AI Today Brief

The daily AI-engineering brief. Built in public. EN · UA.

XTelegramLinkedInYouTubeRSS
NewsConceptsGuidesSubscribeAdvertiseAboutEditorial policyAI disclosurePrivacyTerms

© 2026 AI Today Brief. All rights reserved.

  1. Home/
  2. News/
  3. Agents & MCP/
  4. Gemini API Expands Managed Agents with Background Tasks and Remote MCP
Agents & MCP

Gemini API Expands Managed Agents with Background Tasks and Remote MCP

July 7, 2026· 2 min read
OKCurated by Oleksandr Kuzmenko, AI Product Engineer·Updated July 7, 2026·Sources cited on every story
AI-assisted · editor-reviewed·How we use AI
Gemini API Expands Managed Agents with Background Tasks and Remote MCP

Google has updated the Gemini Managed Agents service to include asynchronous background execution, remote Model Context Protocol (MCP) server integration, and improved custom function calling.

Why it matters

These updates improve the developer experience for building agentic architectures by simplifying how agents interact with external tools and long-running processes.

TL;DR

  • 01New background execution capabilities for agents
  • 02Integration with remote MCP servers
  • 03Enhanced custom function calling

Expanded Capabilities

Google's latest Gemini Managed Agents update introduces:

  • Background Execution: Handle long-running workflows.
  • Remote MCP Support: Connect to distributed Model Context Protocol servers.
  • Custom Function Calling: Fine-grained control over how agents interact with external APIs.
#Gemini API#Model Context Protocol (MCP)
ShareShare on XShare on LinkedIn
← Previous storyJADEPUFFER: Discovery of First Documented Agentic RansomwareNext story →Microsoft Foundry Managed Compute Deploys Hugging Face Models

Related stories

  • Agents & MCPOpenAI Launches Realtime 2.1 API with Configurable Voice Reasoning
  • Agents & MCPJADEPUFFER: Discovery of First Documented Agentic Ransomware
  • Agents & MCPOptimizing Model Context Protocol Tool Selection to Prevent Agent Hallucinations
  • Agents & MCPWhy frontier Anthropic models are performing worse on strict tool calling schemas

Email digest

Get the morning AI brief

One email a day — the stories that matter for engineers, founders and tech leads. Human-edited, with links to primary sources.

  • ✓120+ sources scanned daily
  • ✓Edited by a human
  • ✓1 email per day
  • ✓EN + UA

By subscribing you agree to the privacy policy.