Show HN: Dbprint – Database Context for Agents

Category: ai-ml

Tags: ai-agents, database-profiling, mcp, schema-documentation, data-context

Score: 7.0/10 (Innovation: 7, Technical: 7, Documentation: 8, Utility: 6)

dbprint profiles live database schemas and data to generate committed plain-text artifacts (DDL, statistics, join graphs, annotations) that coding agents can read offline via an MCP server or CLI, avoiding repeated warehouse queries. It combines multi-engine profiling, agent-assisted annotation of ambiguous values, and CI-checkable data drift detection into a Git-native context layer for AI coding agents.

Target audience: backend developers and data engineers working with coding agents on database-backed applications

Repository: https://github.com/jakubro/dbprint · Python · Apache-2.0 · 2 stars

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