db-mcp-server: A powerful multi-database server implementing the Model Context Protocol to provide AI assistants

Last updated: 2026-10-13 · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install db-mcp-server

docker pull freepeak/db-mcp-server:latest
git clone https://github.com/FreePeak/db-mcp-server.git

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

Security audit verdict: SAFE · quality 74/100

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.

database-mcp-servermcp-server

Quick Facts

Stars	461
Forks	82
Language	Go
Category	MCP Server
License	MIT
Quality Score	74/100
Open Issues	1
Last Updated	2026-10-13
Created	2025-03-17
Platforms	go, mcp
Est. Tokens	~20k

About db-mcp-server

Multi Database MCP Server A powerful multi-database server implementing the Model Context Protocol (MCP) to provide AI assistants with structured access to databases. Overview • Core Concepts • Features • Supported Databases • Deployment Options • Configuration • Available Tools • Examples • Troubleshooting • Contributing Overview The DB MCP Server provides a standardized way for AI models to...

Compatible Skills

These tools work well together with db-mcp-server for enhanced workflows:

metoro-mcp-server — semantic(0.54)+same_lang+similar_pop+shared_platform (49%)
mcp-filesystem-server — semantic(0.47)+same_lang+similar_pop+shared_platform (46%)
signoz-mcp-server — semantic(0.44)+same_lang+similar_pop+shared_platform (45%)
alibabacloud-observability-mcp-server — semantic(0.44)+same_lang+similar_pop+shared_platform (45%)

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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:

View on GitHub → Browse MCP Server tools