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 furey · MCP Server · ★ 204
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mongodb-lens safe to install? View the security audit →
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. Contents Quick Start Features Installation Configuration Client Setup Data Protection Tutorial Test Suite Disclaimer Support Quick Start Install MongoDB Lens Configure MongoDB Lens Set up your MCP Client (e.g. Claude Desktop, Cursor, etc) Explore your MongoDB databases with natural language queries Features Tools Resources Prompts Other Tools []
| Stars | 204 |
| Forks | 31 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.1116814524819/100 |
| Open Issues | 4 |
| Last Updated | 2025-04-23 |
| Created | 2025-03-09 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~115k |
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mongodb-lens is 🍃🔎 MongoDB Lens: Full Featured MCP Server for MongoDB Databases. It is categorized as a MCP Server with 204 GitHub stars.
mongodb-lens is primarily written in JavaScript. It covers topics such as ai, claude, database.
You can find installation instructions and usage details in the mongodb-lens GitHub repository at github.com/furey/mongodb-lens. The project has 204 stars and 31 forks, indicating an active community.
mongodb-lens is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mongodb-lens on Agent Skills Hub include MCP-PostgreSQL-Ops, MCP-Bridge, 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: