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 TranHoaiHung · MCP Server · ★ 221
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is figma-ui-mcp safe to install? View the security audit →
figma-ui-mcp Claude Code to Figma · Antigravity to Figma · Cursor to Figma · Any MCP IDE to Figma ✅ Tested: Claude Code, Antigravity | 🔧 Compatible: Cursor, VS Code, Windsurf, Zed (any MCP stdio client) Bidirectional Figma MCP bridge — let AI assistants (Claude Code, Cursor, Windsurf, Antigravity, VS Code Copilot, or any MCP-compatible IDE) draw UI directly on Figma canvas and read existing designs back as structured data, screenshots, or code-ready tokens. No Figma API key needed — works entirely over localhost. Requires Figma Desktop — the plugin communicates with the MCP server ov
| Stars | 221 |
| Forks | 46 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70.6315171504923/100 |
| Last Updated | 2026-05-26 |
| Created | 2026-03-14 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~308k |
These tools work well together with figma-ui-mcp for enhanced workflows:
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figma-ui-mcp is AI can draw UI directly on the Figma canvas via JavaScript, and read existing designs back as structured data. Works with Claude Code, Cursor, VS Code, and Windsurf. No API KEY required.. It is categorized as a MCP Server with 221 GitHub stars.
figma-ui-mcp is primarily written in JavaScript. It covers topics such as ai, ai-design-tool, ai-tools.
You can find installation instructions and usage details in the figma-ui-mcp GitHub repository at github.com/TranHoaiHung/figma-ui-mcp. The project has 221 stars and 46 forks, indicating an active community.
figma-ui-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to figma-ui-mcp on Agent Skills Hub include figwright, plumb-mcp, claude-talk-to-figma-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: