We Built 17 MCP Servers to Let AI Run Our Internal Operations

Introduction In a previous article, I introduced "DB Graph MCP" — a system that enables safe, cross-schema search and query execution across our entire database estate of 17 DBs and 994 tables. https://zenn.dev/aircloset/articles/2731787582881a Thanks to the positive response, this time I'd like to introduce the rest of our MCP server fleet beyond DB Graph. These were all built in roughly 3 months starting January 2026. We now have 17 MCP servers in production, covering databases, infrastructure, documentation, project management, observability, CI/CD, and even code editing and deployment by non-engineers — making virtually every aspect of our operations accessible to AI. Overview Here's the full lineup: Category Server Description Data DB Graph Company-wide DB dictionary + query execution (previous article) Infrastructure GCloud GCP resources, read-only AWS AWS resources, read-only Docs & Knowledge GWS Full Google Workspace access Git Server All Git repos, read-only Graph Code Gra