by furey · MCP Server · ★ 207
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Featured in: MCP Database Tools
npx -y mongodb-lens
npx -y mongodb-lens@latest
Taken from the project's README on GitHub.
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.
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.
| Stars | 207 |
| Forks | 31 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66/100 |
| Open Issues | 4 |
| Last Updated | 2026-11-07 |
| Created | 2025-03-09 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~25k |
MongoDB Lens MongoDB Lens is a local Model Context Protocol (MCP) server with full featured access to MongoDB databases using natural language via LLMs to perform queries, run aggregations, optimize performance, and more.
These tools work well together with mongodb-lens for enhanced workflows:
Looking for a mongodb-lens alternative? If you're comparing mongodb-lens with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
🐘 Give AI assistants full PostgreSQL DBA superpowers — 30+ tools for performance analysis, bloat detection, l
A middleware to provide an openAI compatible endpoint that can call MCP tools
Stock market MCP server for Yahoo Finance data, technical analysis, portfolio tracking, and Python backtesting
BioMCP: Biomedical Model Context Protocol
A Model Context Protocol Server for MongoDB
The agentic server framework.
Explore other popular mcp server tools:
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: