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How to build multi-agent systems with MCP

Assign a task with a single focus to an AI agent, and it'll get the job done without a hitch. But ask it to handle work that spans multiple tools, formats, and decisions, and that same agent could hit a wall, its reasoning degrading under the weight of your request. Multi-agent systems fix that by splitting up the work. Instead of one agent doing everything, you've got a team of them, each handling a smaller piece of the job. The tricky part is getting each agent to share tools, pass outputs, an

This article was curated by the Mewayz Editorial Team from The Zapier Blog. The full original report is available at the source.

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