LLM Gateway vs MCP Gateway: Understanding the New AI Infrastructure Stack

Short summary

As AI systems scale from simple chatbots to multi-agent ecosystems, new infrastructure layers are becoming critical. LLM Gateways centralize model access with authentication and cost tracking; LLM Routers optimize model selection by performance and cost. MCP Gateways manage tool integrations, while registries enable discovery and governance across hundreds of agents and services.

• •LLM Gateways centralize authentication, rate limiting, and cost tracking for multi-provider model access
• •LLM Routers optimize model selection by cost, latency, and performance per task
• •MCP Gateways and registries manage tool discovery and governance as agent ecosystems scale

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