Multi-Agent Research System

Example Use Cases

• 1

  Handle complex research queries requiring multi-perspective analysis.

• 2

  Perform parallel web searches and content fetching across multiple domains.

• 3

  Iterative refinement and synthesis of research findings.

Description

This MCP server orchestrates a lead research agent that dynamically deploys specialized subagents to perform parallel, focused research tasks. It supports iterative investigation and synthesis of findings from multiple perspectives, enabling comprehensive answers to complex queries. Built on the Koog AI Framework, it integrates advanced LLM models and web search capabilities to deliver deep research results efficiently.