From the Obot AI team
Every engineering team that wires AI agents into production using MCP eventually hits the same inflection point: the setup that worked for two agents and three tools doesn't hold up across twelve agents, nine MCP servers, and a security review.
Credentials are inline. Access policies are per-server and inconsistently applied. The audit trail doesn't exist. IT wants to know what the agents are doing. Nobody has a clean answer.
That's where MCP infrastructure stops being optional — and where choosing the wrong gateway means rebuilding infrastructure that was supposed to be durable.
The MCP gateway landscape in 2026 is genuinely hard to navigate: purpose-built enterprise governance platforms, high-performance open-source proxies, managed cloud services, and legacy API gateway vendors who retrofitted MCP support into existing products. They are not interchangeable.
This guide covers what actually differentiates the leading options — with a feature comparison table, pricing overview, and a framework for making the right call based on your team's security, compliance, and operational requirements.
📓 Full guide · ⏱ 23-minute read
Originally published on Obot AI
Top comments (0)