by e2b-dev · MCP Server · ★ 189
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.
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 | 189 |
| Forks | 89 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 54/100 |
| Open Issues | 26 |
| Last Updated | 2026-10-19 |
| Created | 2025-08-31 |
| Platforms | mcp, python |
| Est. Tokens | ~7k |
Awesome MCP Gateways A list of awesome MCP Gateway Products. Open a pull request to contribute. Open-source MCP Gateways agentgateway - Next Generation Agentic Proxy for AI Agents and MCP servers that provides drop-in security, observability, and governance for agent-to-agent and agent-to-tool communication. Docker MCP Gateway - Docker MCP CLI plugin / MCP Gateway.
Looking for a awesome-mcp-gateways alternative? If you're comparing awesome-mcp-gateways 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.
MCPSDK.dev(ToolSDK.ai)'s Awesome MCP Servers and Packages Registry and Database with Structured JSON configura
Lightweight Agent Workstation for Codex + Claude code + keke-agent — with dots, task scheduler, git worktree &
🔥🔒 Awesome MCP (Model Context Protocol) Security 🖥️
The definitive resource for Agent Skills - modular capabilities revolutionizing AI agent architecture
🤖 精选的 AI Agent Skills 列表,适用于 Cursor、Claude Code、GitHub Copilot 等 AI 编程工具
🎯 The definitive collection of 50+ verified Awesome Claude Skills for Claude Code, Claude.ai, and API. Boost
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: