What is DBHub (Universal Database Gateway)?
DBHub (Universal Database Gateway) is a AI tool that Provides a universal database gateway for connecting to PostgreSQL, MySQL, SQLite, and DuckDB, enabling table browsing, schema inspection, and read-only SQL queries with built-in safety checks. It has a Nerq Trust Score of 74/100 (B). 2.4K GitHub stars. Published by https://github.com/bytebase/dbhub. Last analyzed April 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ✅ Community: 2.4K stars, 0 downloads — Large community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What DBHub (Universal Database Gateway) Does
DBHub (Universal Database Gateway) is a mcp_server in the AI tool category. Provides a universal database gateway for connecting to PostgreSQL, MySQL, SQLite, and DuckDB, enabling table browsing, schema inspection, and read-only SQL queries with built-in safety checks. It is published by https://github.com/bytebase/dbhub and has no specified license. With 2.4K GitHub stars and 0 downloads, it has a growing community of users and contributors.
Who Should Use DBHub (Universal Database Gateway)
DBHub (Universal Database Gateway) is well-suited for production use given its strong trust score and active community.
Details
| Author | https://github.com/bytebase/dbhub |
|---|---|
| Category | AI tool |
| License | Not specified |
| Type | mcp_server |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=dbhub-universal-database-gateway
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MarkItDown | 74 | 92.8K |
| Mobile Device Control | 74 | 4.2K |
| Container Use | 77 | 3.7K |
| Sourcebot | 77 | 3.2K |
| Grafbase | 68 | 1.2K |
Frequently Asked Questions
Last updated April 2026. Trust scores based on automated analysis of public data.