SKILLS & AGENTS/Skill 与 Agent·MCP-SERVER

claude-talk-to-figma-mcp

arinspunk/claude-talk-to-figma-mcp

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

打开仓库Open repository

怎么装：Install: npx claude-talk-to-figma-mcp

02 / 现在的位置02 / Why now

它现在处在什么位置Where it stands right now

首次发现FIRST SEEN

03 OCT 202603 OCT 2026

增长GROWTH

+0.2%+0.2%

666 → 667 stars · 7 个快照666 → 667 stars · 7 snapshots

状态STATUS

长期未更新Not updated

03 / 它能帮你做什么03 / What it helps you do

它能帮你做成什么What it helps you do

04 / 安装04 / Install

怎么装How to install

NPX

$

README 里给出的安装方式。The installation method given in the README.

MCP CONFIG

$

MCP 客户端配置，粘贴到对应的配置文件里即可。An MCP client config — paste it into the relevant config file.

两种装法选一个即可 —— 上面那条给命令行用户，下面那条给写代码的用户。Pick one of the two — the first is for command-line users, the second for people writing code.

05 / 限制与风险05 / Limits and risk

限制与风险Limits and risk

风险不是警告，是可信度的一部分。以下结论只基于文档静态扫描，我们不会执行项目里的任何代码。Risk here is evidence, not an alarm. These findings come from static scanning of the docs; we never execute a project’s code.

限制LIMITS

未知Unknown

01需要 API KeyREQUIRES API KEY: 未在文档中发现Not found in the docs
02需要本地环境NEEDS LOCAL RUNTIME: 未在文档中发现Not found in the docs
03需要 DockerNEEDS DOCKER: 未在文档中发现Not found in the docs
04难度DIFFICULTY: 一键安装One-click install

PROVENANCE · 这些结论的依据是什么Where these conclusions come from

来源 URLSource URL: https://github.com/arinspunk/claude-talk-to-figma-mcp
原始数据哈希Raw data hash: 477b767520770151b0cdcb747fcc2bf5
解析时间Parsed at: 2026-10-08T23:30:51.373Z
最后一次验证Last verified: 2026-10-09T22:11:00.411Z
增长测量时间Growth measured: —
发现查询Discovery queries: focus:design:repo:figma-mcp
分类来源Category source: rules
焦点Focus: design · motion (10)

完整解析证据 JSONFull parse evidence JSON

{
  "agents": [
    {
      "agent": "claude-code",
      "evidence": "readme: …sktop](https://claude.ai/) - [Claude Code](https://docs.anthropic.com/e…"
    },
    {
      "agent": "claude-desktop",
      "evidence": "readme: …r favorite agentic tools: - [Claude Desktop](https://claude.ai/) - [Claud…"
    },
    {
      "agent": "claude-ai",
      "evidence": "readme: …: - [Claude Desktop](https://claude.ai/) - [Claude Code](https://doc…"
    },
    {
      "agent": "windsurf",
      "evidence": "readme: …tps://antigravity.google/) - [Windsurf](https://windsurf.com/) - [VS…"
    },
    {
      "agent": "cline",
      "evidence": "readme: …thub.com/features/copilot) - [Cline](https://marketplace.visualst…"
    },
    {
      "agent": "vscode",
      "evidence": "readme: …rf](https://windsurf.com/) - [VS Code](https://code.visualstudio.co…"
    },
    {
      "agent": "copilot",
      "evidence": "readme: …://code.visualstudio.com/) + [GitHub Copilot](https://github.com/features/…"
    }
  ],
  "apiKey": null,
  "docker": null,
  "taxonomy": {
    "scores": {
      "design": 8,
      "ai-tools": 0,
      "dev-tools": 0,
      "indie-web": 0,
      "skill-agent": 11,
      "productivity": 0
    },
    "primary": "skill-agent",
    "secondary": "mcp-server"
  },
  "localRuntime": null,
  "skillMdTotal": 0,
  "skillMdErrors": [],
  "treeTruncated": false,
  "categoryScores": {
    "data": 0,
    "agent": 1,
    "media": 0,
    "design": 13,
    "browser": 0,
    "devtool": 1,
    "security": 0,
    "marketing": 0,
    "productivity": 0
  },
  "classification": [
    {
      "signal": "smithery.yaml",
      "weight": 0.85
    },
    {
      "signal": "package.json depends on @modelcontextprotocol/sdk + MCP framing",
      "weight": 0.8
    },
    {
      "signal": "README ships an mcpServers config for this server",
      "weight": 0.7
    },
    {
      "signal": "MCP topic + README",
      "weight": 0.6
    },
    {
      "signal": "description mentions AI",
      "weight": 0.2
    }
  ],
  "scannedSources": [
    "readme"
  ],
  "skillMdFetched": 0
}