lazydb: A beautiful and convenient TUI database client with MCP support

by yelog · MCP Server · ★ 62

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install lazydb

brew install yelog/tap/lazydb

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 67/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

coding-agentdatabasedbmcpmcp-serverremoteterminaltui

Quick Facts

Stars62
Forks5
LanguageRust
CategoryMCP Server
LicenseApache-2.0
Quality Score67/100
Open Issues3
Last Updated2026-10-22
Created2026-08-27
Platformscli, mcp, rust
Est. Tokens~28k

About lazydb

LazyDB is a keyboard-first database workspace for the terminal. LazyDB lets you browse schemas, write and run SQL, inspect relations, manage connection profiles, and expose project-scoped database access to coding agents without leaving your terminal. It is written in Rust and supports PostgreSQL, MySQL, MariaDB, Oracle, SQL Server, SQLite, and Redis. Project status: LazyDB is currently in beta.

Compatible Skills

These tools work well together with lazydb for enhanced workflows:

  • unifly — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)
  • tui-test — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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