MCP + Multi-Agent — How Agents Share Tools and Collaborate
Standardize tools with MCP, build role-based multi-agent systems with CrewAI. A2A protocol and architecture selection guide.
MCP + Multi-Agent — How Agents Share Tools and Collaborate
A single agent is powerful. But complex tasks in the real world are hard to solve with just one agent. What if you need to research, code, and review all at the same time? The answer is having multiple agents take on their own roles and collaborate.
In this post, we cover how to standardize tool integration with MCP (Model Context Protocol), build multi-agent teams with CrewAI, and enable agents to communicate with each other using A2A (Agent-to-Agent) patterns.
Series: Part 1: ReAct Pattern | Part 2: LangGraph + Reflection | Part 3 (this post) | Part 4: Production Deployment
The N×M Integration Problem
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