Role of orchestrators like CrewAI, LangGraph, AutoGen
Role of orchestrators like CrewAI, LangGraph, AutoGen
Orchestrators take MCP to the next level by chaining multiple tasks, applying logic, and maintaining memory between steps. Here’s how each contributes:
| Orchestrator | Purpose |
| CrewAI | Assigns specific tasks to named agents (e.g., Recon Agent, Intel Analyst). Ideal for red teaming and SOCs. |
| LangGraph | Creates stateful, visual task flows with conditional routing. Great for multi-stage playbooks. |
| AutoGen | Focuses on AI-to-AI collaboration, useful for dynamic role assignment and prompt negotiation. |
MCP Servers serve as tools within these orchestrators.
Example: A Security Analyst Agent in CrewAI may use the nmap_scan MCP Server first, then pass results to a Report Agent that summarizes findings using Claude.