by GLips · MCP Server · ★ 16.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Featured in: AI Design Tools
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 | 15,976 |
| Forks | 1,263 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70/100 |
| Open Issues | 27 |
| Last Updated | 2026-10-12 |
| Created | 2025-02-13 |
| Platforms | mcp, node |
| Est. Tokens | ~15k |
Framelink MCP for Figma Give your coding agent access to your Figma data.Implement designs in any framework in one-shot. Give Cursor and other AI-powered coding tools access to your Figma files with this Model Context Protocol server. When Cursor has access to Figma design data, it's way better at one
Looking for a Figma-Context-MCP alternative? If you're comparing Figma-Context-MCP 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.
TalkToFigma: MCP integration between AI Agent (Cursor, Claude Code, Codex) and Figma, allowing Agentic AI to c
程序员鱼皮的 AI 资源大全 + Vibe Coding 零基础教程，分享 OpenClaw 保姆级教程、大模型玩法（DeepSeek / GPT / Gemini / Claude / GLM）、最新 AI 资讯、Pr
Unity MCP acts as a bridge between AI assistants and your Unity Editor. Give your LLM tools to manage assets,
Code search MCP for Claude Code. Make entire codebase the context for any coding agent.
Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!
Monitor browser logs directly from Cursor and other MCP compatible IDEs.
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: