figma-pilot: MCP that let AI agents control Figma through code execution

by youware-labs · MCP Server · ★ 106

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

How to install figma-pilot

claude mcp add figma-pilot -- npx @youware-labs/figma-pilot-mcp
git clone https://github.com/youware-labs/figma-pilot.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 76/100

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.

agentclaude-codecopilotfigmamcp

Quick Facts

Stars106
Forks10
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score76/100
Open Issues2
Last Updated2026-01-29
Created2026-01-19
Platformsclaude-code, mcp, node
Est. Tokens~15k

About figma-pilot

figma-pilot AI agents control Figma through code execution. English | 中文 Demo OpenAI Landing Page Prompt: "Create an OpenAI style landing page introducing the upcoming GPT 5.3 release on Figma" Manus Design System Prompt: "Generate a Manus design system components based on the screenshot, on Figma" Design Philosophy This project is inspired by Anthropic's Code execution with MCP approach.

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How this security grade is produced

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:

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