As AI applications evolve from simple chatbots into autonomous agents, a new infrastructure layer is...
MCP becomes the standard for enterprise AI; LLM Gateway, MCP Gateway, Router, and Registry layers centralize authentication, governance, and policy enforcement. Managing hundreds of agents and tools at scale requires the same centralized orchestration as traditional API gateways.
As AI applications evolve from simple chatbots into autonomous agents, a new infrastructure layer is emerging. Terms like LLM Gateway, MCP Gateway, MCP Registry, LLM Router, and Agent Gateway are appearing everywhere—but what do they actually do?
Let's break it down.
The Challenge with Modern AI Systems
Early AI applications were simple:
Application → LLM
I've been in three meetings this month where someone said "we need an AI gateway" and three different...
Compare the top five LLM gateways for securing your AI apps, evaluated on guardrails, access...
Hosting MCP Gateway Registry on AWS ECS: A Practical Blueprint for Enterprise Agentic AI...
The AI landscape is shifting fast. Every week, a new agent framework, a new protocol, a new way for...
Six months ago our team had three different SDKs, four API keys floating in .env files, zero cost visibility, and one very…
AI agent architecture is starting to split into two layers. One layer is about giving an AI...
