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  5. Manage API gateways

Best AI Tools to Manage API gateways

Proxy, route, secure, observe, and control API, LLM, or MCP traffic through a gateway.

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API gateways sit between applications and the services they call, routing, securing, monitoring and controlling traffic. AI and MCP gateways add model routing, cost tracking, rate limits and policy enforcement for AI traffic.

Choosing a gateway

Compare supported protocols (REST, LLM APIs, MCP), authentication, rate limiting, caching, logging and observability, plugin systems, performance and deployment options.

Governing AI traffic

Use the gateway to keep API keys out of apps, set budgets per team, log prompts and responses where policy allows and block requests that break your rules.

FAQ

What is an AI gateway?

A proxy for AI model requests that adds routing, cost control, caching and logging across providers.

Do I need a gateway for a small app?

Not always; it becomes valuable with multiple apps, teams or model providers.

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