Advanced Research Agent

Example Use Cases

• 1

  Autonomous web crawling and data extraction capabilities.

• 2

  Structured and workflow-driven research orchestration.

• 3

  Integration with MCP and Firecrawl tools for real-world data.

Description

The Advanced Research Agent is a Python system that leverages Large Language Models, the Model Context Protocol (MCP), and Firecrawl to perform autonomous web research. It supports both a simple interactive agent and an advanced workflow-driven agent that orchestrates research tasks, crawls websites, extracts data, and returns structured outputs. This design improves extensibility, maintainability, and produces comparable research results for various domains.