claude-talk-to-figma-mcp — security grade SAFE, quality 67/100

Security audit verdict: SAFE · quality 67/100

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 arinspunk · MCP Server · ★ 662

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is claude-talk-to-figma-mcp safe to install? View the security audit →

About claude-talk-to-figma-mcp

Claude AI Agents Talk to Figma MCP Enable your AI agents to read, analyze, and modify Figma designs. Works with your favorite agentic tools: Claude Desktop Claude Code Cursor Antigravity Windsurf VS Code + GitHub Copilot Cline Roo Code 👩🏽‍💻 Who it's for UX/UI Teams Automate repetitive design tasks and maintain brand consistency without manual effort: Automated accessibility audits - Detect and fix contrast issues in seconds Bulk style updates - Change colors, typography, or spacing across the entire document with a single command Visual hierarchy analysis - Get instant feedback on your design structure Developers Generate production-ready code directly from designs: React/Vue/SwiftUI components - From design to code in one step Code with design tokens - Keep design and development in sync Reduce handoff friction - Fewer back-and-forth iterations with the design team Key advantage: Unlike [Figma's official MCP](https://www.figma.c

antigravityclaudeclaude-aiclaude-codecursorfigmagithubcopilotmcpmcp-serverwindsurf-ai

Quick Facts

Stars662
Forks132
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score67.2741998500841/100
Open Issues8
Last Updated2026-04-18
Created2025-04-04
Platformsclaude-code, mcp, node
Est. Tokens~649k

Compatible Skills

These tools work well together with claude-talk-to-figma-mcp for enhanced workflows:

  • agent-skills — semantic(0.33)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
  • ai-devkit — semantic(0.21)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)
  • agent-skills-cli — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • proxypal — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)
  • skill-generator — semantic(0.32)+complementary+rare_topics+similar_pop+shared_platform (55%)

claude-talk-to-figma-mcp alternative? Top 6 similar tools

Looking for a claude-talk-to-figma-mcp alternative? If you're comparing claude-talk-to-figma-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.

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    Flutter AI Skills and Rules for Claude, Codex, Cursor, and Other AI-Powered IDEs

  • ollama-mcp by rawveg · ⭐ 170

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  • memorix by AVIDS2 · ⭐ 797

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  • Axon.MCP.Server by ali-kamali · ⭐ 167

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  • ask-user-questions-mcp by paulp-o · ⭐ 147

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Frequently Asked Questions

What is claude-talk-to-figma-mcp?

claude-talk-to-figma-mcp is A Model Context Protocol (MCP) that allows Claude Desktop and other AI tools (Claude Code, Cursor, Antigravity, etc.) to read, analyze, and modify Figma designs. It is categorized as a MCP Server with 662 GitHub stars.

What programming language is claude-talk-to-figma-mcp written in?

claude-talk-to-figma-mcp is primarily written in TypeScript. It covers topics such as antigravity, claude, claude-ai.

How do I install or use claude-talk-to-figma-mcp?

You can find installation instructions and usage details in the claude-talk-to-figma-mcp GitHub repository at github.com/arinspunk/claude-talk-to-figma-mcp. The project has 662 stars and 132 forks, indicating an active community.

What license does claude-talk-to-figma-mcp use?

claude-talk-to-figma-mcp is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to claude-talk-to-figma-mcp?

The top alternatives to claude-talk-to-figma-mcp on Agent Skills Hub include flutter-ai-rules, ollama-mcp, memorix. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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