No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by call518 · MCP Server · ★ 161
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is MCP-PostgreSQL-Ops safe to install? View the security audit →
MCP Server for PostgreSQL Operations and Monitoring Architecture & Internal (DeepWiki) Overview MCP-PostgreSQL-Ops is a professional MCP server for PostgreSQL database operations, monitoring, and management. Supports PostgreSQL
| Stars | 161 |
| Forks | 25 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 75.2750645664511/100 |
| Last Updated | 2026-09-14 |
| Created | 2025-08-19 |
| Platforms | browser, claude-code, mcp, python |
| Est. Tokens | ~25k |
These tools work well together with MCP-PostgreSQL-Ops for enhanced workflows:
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MCP-PostgreSQL-Ops is 🐘 Give AI assistants full PostgreSQL DBA superpowers — 30+ tools for performance analysis, bloat detection, lock/deadlock monitoring, autovacuum & schema inspection. No extensions required. PG 12-18.. It is categorized as a MCP Server with 161 GitHub stars.
MCP-PostgreSQL-Ops is primarily written in Python. It covers topics such as agent, agentic-ai, ai.
You can find installation instructions and usage details in the MCP-PostgreSQL-Ops GitHub repository at github.com/call518/MCP-PostgreSQL-Ops. The project has 161 stars and 25 forks, indicating an active community.
MCP-PostgreSQL-Ops is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to MCP-PostgreSQL-Ops on Agent Skills Hub include pgmcp, wren-engine, maverick-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: