ade-catalog helps you discover and organize the data assets scattered across your organization, then puts them to direct use — browsable in the app, and through integrations with the platforms and LLMs your teams already work with — supporting data discovery, assessment, and ongoing monitoring.
Discover assets across platforms and trace where data comes from and where it's used — end to end, across tool boundaries.
Generated descriptions you can review and edit — human edits are protected and never silently overwritten on re-scan.
Ask questions in plain language and get answers grounded in your own metadata, with links straight to the objects.
An open MCP interface plugs the catalog into the LLMs and tools your teams already use.
Independent, composable tools for agentic data engineering — use each on its own or together. ade-catalog maps what exists and how it's connected; ade-ops orchestrates how you build, run and govern it; ade-lens consumes the certified answers people need. Map the territory, operate it — then consume it with confidence.
Analyze, explore, and document your analytics environments — a navigable catalog of what exists and how it's connected.
GitHub ↗Operate a data platform in plain language — from design to deploy, with people and AI agents working under the rules you set and track.
Ask your certified BI estate in plain words and get the governed answer — with its provenance, in front of whoever needs it.
Live (preview) ↗A shared knowledge library for AI agents across the family.
Run ade-catalog locally to scan the platforms your organization uses, then browse the results from your own machine — or publish them to make sharing with your team easy.