SKILLS & AGENTS/Skill 与 Agent·MCP-SERVER

cursor-talk-to-figma-mcp

grab/cursor-talk-to-figma-mcp

TalkToFigma: MCP integration between AI Agent (Cursor, Claude Code, Codex) and Figma, allowing Agentic AI to communicate with Figma for reading designs and modifying them programmatically.

打开仓库Open repository 官网Homepage 上升中Rising

怎么装：Install: curl -fsSL https://bun.sh/install | bash

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

+0.0%+0.0%

7.0k → 7.0k stars · 2 个快照7.0k → 7.0k stars · 2 snapshots

状态STATUS

持续活跃Active

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

CURL-PIPE

$

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

存在风险Risk found

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: 简单配置Simple setup

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

来源 URLSource URL: https://github.com/grab/cursor-talk-to-figma-mcp
原始数据哈希Raw data hash: 5a5b95472825d1f58fe01f4d50d60c0c
解析时间Parsed at: 2026-10-04T23:15:52.668Z
最后一次验证Last verified: 2026-10-04T08:53:33.891Z
增长测量时间Growth measured: 2026-10-04T23:17:28.032Z
发现查询Discovery queries: focus:design:repo:figma-mcp
分类来源Category source: rules
焦点Focus: design (11)

完整解析证据 JSONFull parse evidence JSON

{
  "agents": [
    {
      "agent": "claude-code",
      "evidence": "readme: …ion between AI agent (Cursor, Claude Code) and Figma, allowing AI agent…"
    },
    {
      "agent": "cursor",
      "evidence": "readme: …ursor MCP configuration in `~/.cursor/mcp.json`: ```json { \"mcpServers\":…"
    }
  ],
  "apiKey": null,
  "docker": null,
  "taxonomy": {
    "scores": {
      "design": 9,
      "ai-tools": 12,
      "dev-tools": 0,
      "indie-web": 0,
      "skill-agent": 11,
      "productivity": 3
    },
    "primary": "skill-agent",
    "secondary": "mcp-server"
  },
  "localRuntime": null,
  "skillMdTotal": 0,
  "skillMdErrors": [],
  "treeTruncated": false,
  "categoryScores": {
    "data": 0,
    "agent": 5,
    "media": 1,
    "design": 15,
    "browser": 0,
    "devtool": 0,
    "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": ".mcp.json (configures servers it uses)",
      "weight": 0.3
    },
    {
      "signal": "description mentions AI",
      "weight": 0.2
    }
  ],
  "scannedSources": [
    "readme"
  ],
  "skillMdFetched": 0
}