The Model Context Protocol (MCP) has reached an inflection point.
While some MCP deployments are still in the experimentation phase, many are moving the technology into operational, day-to-day use.
But as teams begin scaling MCP in real workflows, they’re discovering that running many MCP servers simultaneously introduces severe bloat.
Gil Feig, CTO and co-founder of Merge, a unified API platform, tells The New Stack that teams rushing to add dozens of tools are now hitting scaling problems. “Agents can’t reliably choose the right tool,…

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