Anatomy of an Enterprise Tool Library
How an Enterprise Tool Library actually works: the six pillars, the fail-closed request pipeline, and how DADL and Code Mode let one governed layer front any MCP server or REST API.
How an Enterprise Tool Library actually works: the six pillars, the fail-closed request pipeline, and how DADL and Code Mode let one governed layer front any MCP server or REST API.
DeepL just rolled out 13 new REST endpoints — style rules, multilingual glossaries, translation memory, /v3/languages, tag_handling v2. The official MCP server has zero of them today. We covered all of them in a 38 KB DADL. Here is the build log.
How to use ToolMesh connectors to populate a fresh NetBox instance from Linode, Hetzner Cloud, Xen Orchestra and other sources — with a trust-building approach from import to autopilot.
AI agents are reaching production faster than governance can keep up. ToolMesh is the missing control layer between AI agents and enterprise systems — governing tool calls and connecting any API in minutes.
Even a stripped-down MCP wrapper is 90 lines of TypeScript. Production wrappers grow past 200. The same integration in DADL takes 40 lines of YAML — and the real gain is not the line count.
Gateways are necessary for secure agent execution, but they do not solve the real scaling problem. The MCP era needs a description layer that makes backend creation trivial.