by lakevision-project · MCP Server · ★ 52
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
docker run --env-file .env -p 8081:8081 lakevision:1.0 /app/start.sh
docker run --env-file .env lakevision:1.0 /app/worker.shTaken 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 | 52 |
| Forks | 14 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 67/100 |
| Open Issues | 10 |
| Last Updated | 2026-09-01 |
| Created | 2024-07-30 |
| Platforms | aws, mcp, python |
| Est. Tokens | ~16k |
Lakevision Lakevision is a tool that provides insights into your Data Lakehouse based on the Apache Iceberg table format. It lists every nam
Looking for a lakevision alternative? If you're comparing lakevision 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.
All-in-one Content OS: social scheduling and directory launch in one workspace. Calendar, kanban, and product
tmcp MCP server for live shadcn-svelte docs, Bits UI API, and Lucide icons.
Project Management for the agent era
MCP Server for Facebook ADs Library - Get instant answers from FB's ad library
Instagram Direct messages MCP
📝 Markdown and HTML renderer for Svelte 5 — built for streaming AI agent output from Claude Code, ChatGPT, an
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: