dbprint

About

CLI that produces an offline snapshot of a database (DDL, column- and relation-level statistics, values with frequencies), combines it with annotations written by you or an agent, and exposes it as MCP and as a web UI. Works with PG, MySQL, Snowflake, ClickHouse, Databricks, BigQuery. How to try it: uvx dbprint context \ arboretum.seedbank.germination_trial \ --purpose query \ --project https://github.com/jakubro/dbprint/blob/main/docs/format/v1/examples/production/.dbprint.yaml Features: - Philosophy: snapshots are meant to sit next to your code and versioned so that you have a history of changes and agents can hit them when searching codebase. - Offline: no need to expose live credentials to agents. - CI: "dbprint check" can verify schema/data drift. - Annotations: complement statistics by documenting the meaning behind data. An agent can prepare them for you ("dbprint annotate"). - Redaction: values can be masked/excluded/hashed either explicitly with FQNs or automatically based on inferred sensitivity and value shape. - Format: Snapshots are YAML and markdown, so greppable and usable by other tools. Why I built this: SQL queries produced by agents were inaccurate, and the overall time to result was slow and costly because of finding the answers in codebase or in live database.

Discovery history

1. Show HN

   Oct 30, 2026 · 1 observations