# Show HN: Dbprint – Database Context for Agents

> Source: <https://github.com/jakubro/dbprint>
> Published: 2026-10-30 15:20:12+00:00

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.

Comments URL: [https://news.ycombinator.com/item?id=50305171](https://news.ycombinator.com/item?id=50305171)

Points: 1

# Comments: 0