#Capstone#Multi-Agent#LangGraph#MCP#A2A#HITL#Bedrock AgentCore#Syllabus

Project 04: DevOpsCrew — Multi-Agent DevOps with HITL and A2A

Build a production DevOps assistant with a LangGraph supervisor delegating to specialised sub-agents over MCP and A2A, with human-in-the-loop gating every write.

May 28, 2026 at 12:00 PM1 min readFollowFollow (Hindi)

Topics You Will Master

A LangGraph supervisor delegating to specialised sub-agents
MCP servers wrapping CLIs and cloud SDKs as tools
A2A peer delegation between agents
Human-in-the-loop interrupts with checkpoint persistence
Deployment to a managed agent runtime with policy-based access control
Best For

Engineers building real DevOps assistants that change production state — and need approval gates and audit trails.

Expected Outcome

A supervisor-led agent system with HITL gating, A2A delegation, MCP tool servers, and a managed-runtime deployment.

Project Overview

DevOpsCrew is a multi-agent DevOps assistant where a supervisor delegates work to specialised sub-agents — source control, monitoring, code review, service health — with every write operation gated by a human.

Objective

Build a supervisor-worker graph in LangGraph with sub-agents exposed over MCP and discoverable via A2A, deployed to a managed agent runtime with policy-based access control.

Scope

  • A supervisor-worker LangGraph with conditional routing and shared state.
  • Sub-agents for source control, monitoring, code review, and service health.
  • All sub-agents expose MCP servers (stdio for dev, SSE for production).
  • A2A peer delegation between agents via standard endpoints.
  • HITL interrupts before every write, with exact checkpoint resume.

Stack

  • LangGraph for the supervisor graph and persistence.
  • FastMCP-style MCP servers wrapping CLIs and cloud SDKs as tools.
  • A2A discovery via well-known endpoints with JSON-RPC transport.
  • SQLite state serialisation on interrupt.
  • A managed agent runtime with microVM isolation, a tool gateway, short- and long-term memory, and per-agent identity.

Governance

  • A policy language for agent permissions (writes require approval; read-only agents restricted from destructive actions).
  • Tracing, metrics, and structured logging across all agents.

Demo Scenario

Triage a production incident → automated GitHub issue creation → code review by the code-review sub-agent → human approval → write performed — end-to-end in under a minute.

Deliverables

  • LangGraph supervisor with sub-agents and shared state.
  • All MCP servers implemented and registered with the gateway.
  • HITL interrupt-and-resume working for all write operations.
  • End-to-end A2A peer delegation.
  • All agents deployed to a managed runtime with policies and observability live.

Prerequisites

Modules 20–23 (function calling/MCP, LangGraph, A2A and observability, AgentCore deployment).

Find this tutorial useful?

Subscribe to our YouTube channels for more practical production walk-throughs.

Discussion & Comments