[…] As we saw, MCP and A2A are complementary protocols that address distinct but interconnected challenges in ML-driven enterprises. MCP empowers individual models with the context and tools they need to act, while A2A enables agents to collaborate across systems and organizations. Used separately, they solve specific integration or coordination problems; used together, they can unlock sophisticated, scalable AI workflows. …