How to Scale Claude Code with an MCP Gateway (Run Any LLM, Centralize Tools, Control Costs)

Claude Code is one of the most capable terminal-based coding agents available today. It can read your repository, execute commands, edit files, commit changes, run tests, resolve Git conflicts, and create pull requests, all inside your CLI. On its own, it’s powerful. But the moment you start connecting Claude Code to multiple MCP servers, databases, file systems, search APIs, and internal tools, the architecture starts to matter. At a small scale, direct connections work fine. At team scale, especially in enterprise environments, they introduce friction. This article breaks down how using Bifrost as an MCP gateway and enterprise AI gateway changes that architecture, especially when scalability and multi-provider flexibility become priorities. If you're building agentic workflows beyond a solo setup, this isn’t optional infrastructure; it’s future-proofing. What Is an MCP Gateway? An MCP gateway is a control plane that sits between your coding agent (like Claude Code) and your external