MCP Gateways - The Bridge Between AI Agents and Real-World Tools
· 3 min read
When you first discover the Model Context Protocol (MCP), it can feel a bit like magic: suddenly your AI assistant can read from a database, update a CRM record, or spin up cloud resources - all through a single, standard interface. But as soon as you try to move beyond a demo, you'll run into practical questions: How do you secure these tool calls? Who keeps track of rate limits and audit logs? Where do you plug in observability? That's where an MCP gateway comes in. Think of it as the operations and security layer that makes MCP usable in production - similar to how an API gateway fronts traditional REST or gRPC services.