by FunnyWolf · MCP Server · ★ 5.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
| Stars | 5,308 |
| Forks | 702 |
| Category | MCP Server |
| Quality Score | 48/100 |
| Open Issues | 7 |
| Last Updated | 2026-05-31 |
| Created | 2020-05-29 |
| Platforms | mcp |
| Est. Tokens | ~5465k |
Getting-Started · Documentation <img alt="Docker Pulls" src="https://img.shields
Looking for a Viper alternative? If you're comparing Viper 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.
🔥 MaxKB is an open-source platform for building enterprise-grade agents. 强大易用的开源企业级智能体平台。
HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomousl
Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!
TalkToFigma: MCP integration between AI Agent (Cursor, Claude Code, Codex) and Figma, allowing Agentic AI to c
Lemonade helps users discover and run local AI apps by serving optimized LLMs right from their own GPUs and NP
[DEPRECATED] Legacy Klavis AI MCP integrations. See klavis.ai for RL environments and training data.
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: