Use Cases
AI Gateway solves a handful of recurring problems for teams connecting AI agents to tools. Each use case below builds on the same MCP Gateway foundation.
Turning Sources into Tools
HTTP APIs as Tools
Expose a plain REST API as MCP tools with no MCP server standing between it and the gateway.
OpenAPI Specs as Tools
Derive MCP tools and resources automatically from an existing OpenAPI document instead of hand-authoring each one.
Streaming Data as Tools
Turn a Kafka topic into MCP tools by chaining AI Gateway in front of a Kafka-backed REST API, with no custom MCP server and no application code.
Access Control
Centralized Auth
Enforce one auth policy at the gateway for every upstream MCP server and HTTP API, instead of duplicating auth logic per tool provider.
Secure Agent Access
Give an AI agent one authenticated endpoint to hold a credential for, no matter how many upstream tool providers sit behind it.