Build a Multi-Agent System with MCP

​One agent with every tool makes a good demo; a team of agents with one job each is what holds up at work. Most multi-agent setups break at the hand-off: context is lost, two agents repeat the work, or one calls a tool it should never touch. Live, I build a planner, an engineer and a reviewer with the Claude Agent SDK, each scoped through an MCP gateway, taking one issue from plan to pull request. Part 2 of 7 in the Agentic AI Systems series.

​This session is hosted on Maven. Register at https://maven.com/p/7d113c to get the Zoom link.

​What you will leave with

• ​Split one agent into roles with one job each: A planner, an engineer and a reviewer, each with its own prompt and model.

• ​Scope each agent's tools through an MCP gateway: Each agent calls only the tools its role needs, and every call is logged.

• ​Decide when a second agent pays for itself: Compare the team with a single agent on quality, latency and token cost.

​Join this free live lesson to watch a team of AI agents take one issue from plan to pull request, then build it into your own system in the Agentic AI Buildcamp for Engineers & PMs.