📄 中文摘要
Claude Code 是一种强大的终端编码代理，能够读取代码库、执行命令、编辑文件、提交更改、运行测试、解决 Git 冲突并创建拉取请求。然而，当将 Claude Code 连接到多个 MCP 服务器、数据库、文件系统、搜索 API 和内部工具时，架构的重要性开始显现。在小规模环境中，直接连接可以正常工作，但在团队规模，尤其是企业环境中，这种方式会引入摩擦。使用 Bifrost 作为 MCP 网关和企业 AI 网关可以改变这种架构，特别是在可扩展性和多供应商灵活性成为优先事项时。
📄 English Summary
How to Scale Claude Code with an MCP Gateway (Run Any LLM, Centralize Tools, Control Costs)
Claude Code is a powerful terminal-based coding agent capable of reading repositories, executing commands, editing files, committing changes, running tests, resolving Git conflicts, and creating pull requests. However, when connecting Claude Code to multiple MCP servers, databases, file systems, search APIs, and internal tools, the architecture becomes critical. While direct connections work well at a small scale, they introduce friction at team scale, particularly in enterprise environments. Utilizing Bifrost as an MCP gateway and enterprise AI gateway transforms this architecture, especially when scalability and multi-provider flexibility are prioritized.