Building a Deep Research Agent Using MCP-Agent

In plain words

Building a Deep Research Agent Using MCP-Agent is an AI tool that helps users create research agents through the MCP-Agent framework. It's designed for developers and researchers who need to automate complex information gathering and analysis tasks. The tool enables users to build agents capable of conducting thorough research by integrating multiple data sources and processing capabilities through a structured agent architecture.

written from the facts on this page · September 2026

From the sources

My name is Sarmad Qadri and I’m the creator of the open source project, mcp-agent. My philosophy for agent development in 2025 can be summarized as – MCP is all you need. Or more verbosely: Connect state-of-the-art LLMs to MCP servers, and leverage simple design patterns to let them make tool calls, gather context and make decisions. Over the past few months, I’ve been asked many times when mcp-agent would support deep research workflows. So I set out to build an open source general purpose agent that can work like Claude Code for complex tasks, including deep research, but also multi-step workflows that require making MCP tool calls. Turns out this is a lot more complex than expected, even…from thealliance.ai

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