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Running MCP (Model Context Protocol) servers in production introduces governance, security, and observability challenges that don't exist at small scale. As AI agents gain access to tools that can query databases, trigger deployments, or call internal APIs, uncontrolled access becomes a serious risk. The post advocates for introducing a gateway layer in front of MCP servers to centralize permission enforcement, rate limiting, cost tracking, and logging. Bifrost, an open-source AI gateway built in Go, is presented as a concrete solution that supports Virtual Keys for programmable access policies, unified observability via a built-in dashboard, and high-concurrency routing for large fleets of agents. The author shares personal experience of how adding a gateway simplified debugging and policy management compared to direct MCP integrations.

How to Run MCP Servers in Production (Security, Scaling & Governance for AI Tooling)

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