Multi-Agent-System-using-LangGraph-MCP-Supervisor-Guardrails-HITL

by entbappy · indexed from github

A demo multi-agent system that uses LangGraph and MCP to implement a travel-planning assistant with a Supervisor, input Guardrails, and Human-In-The-Loop (HITL) approval flows. The project includes a FastAPI frontend, example MCP server, and client helpers to demonstrate how agents, supervisors, and guardrails can be composed into a safe, reviewable planning pipeline.

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