Two research agents in the Gemini API: Deep Research for low-latency interactive workflows, Deep Research Max for exhaustive async synthesis. Both support MCP data sources and native chart generation. For developers and AI engineers.

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Deep Research Max by Google DeepMind is a powerful autonomous research agent built on Gemini 3.1 Pro 🚀

It tackles the biggest problem in research today... time-consuming, fragmented, and shallow analysis by automating deep, multi-source research workflows into fully cited, high-quality reports.

What stands out is its ability to combine open web + proprietary data (via MCP), generate native charts/infographics, and iteratively refine insights for expert-grade output.

Key features:

Autonomous long-horizon research workflows
MCP support for custom data integration
Native visualizations (charts & infographics)
Multimodal inputs (PDFs, CSVs, media)
Real-time reasoning + collaborative planning

Perfect for analysts, enterprises, and teams in finance, life sciences, and market research who need fast, reliable, and deep insights.

If you're building or scaling with AI agents, this is worth exploring!

P.S. I hunt the latest and greatest launches in tech, SaaS and AI, follow to be notified → @rohanrecommends

ALready got my Claude Code on this!

MCP-native research agent in the Gemini API is a smart positioning play vs hosted-only Deep Research alternatives. Two q's: when sources contradict, does it surface the disagreement in citations or just pick one? And any quota visibility for async DR Max jobs before they blow past budgets?

Very keen to see how it stacks against Parallel in my workflow:)