Solutions
One context layer, six jobs.
The same real-time schema layer serves agents, auditors, new hires, and the engineers running your migration.
Agent grounding
Accurate context for LLM agents, no warehouse connection.
Agents ask the MCP server, not Snowflake. They get fresh schema, business meaning, and a timestamp — so "confidently wrong" stops being a failure mode.
Agents & MCPSchema change alerts
Know in minutes, as a commit.
Every rename, drop, and type change becomes a Git commit within the poll window. Subscribe your team to the repo and the alert channel is one you already read.
Schema trackingAudit trail
Hand the auditor a git log.
What changed, when, in which environment — with stable change IDs. Versioned in your own repository, so the record outlives any vendor.
Git publishingOnboarding docs
Docs regenerated this morning, not last quarter.
New engineers read Markdown that matches production right now, with owners and business meaning inline — and a timestamp proving it.
Publishing formatsMigration tracking
Watch schemas converge.
During a replatform, point AZ Data at both sides. Every step of the cutover is a diff, and "are we there yet" has a precise answer.
Schema trackingPipeline context
The upstream change, in the same PR.
Because docs live next to your dbt models and DAGs, a reviewer sees the schema diff that motivated the model change — without switching tools.
Git publishingStart with the job that hurts most.
Most teams begin with agent grounding or the audit trail and grow from there. We'll help you scope it.