原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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Figma MCP Server

作者:planetabhi版本 3.1.3i★ –i在你的电脑上运行
注册名称io.github.planetabhi/figma-mcp-server

安装

概览

作者提供的说明(英文原文)

A local MCP server with full Figma REST API coverage.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 设计、图片与音频
  • 你需要填写:FIGMA_API_KEY

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "figma": {
      "command": "npx",
      "args": [
        "-y",
        "figma-mcp-server"
      ],
      "env": {
        "FIGMA_API_KEY": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add figma --env FIGMA_API_KEY=your-value -- npx -y figma-mcp-server

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "figma": {
      "command": "npx",
      "args": [
        "-y",
        "figma-mcp-server"
      ],
      "env": {
        "FIGMA_API_KEY": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "figma": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "figma-mcp-server"
      ],
      "env": {
        "FIGMA_API_KEY": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • FIGMA_API_KEY 机密 必填 env
    Figma personal access token

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 planetabhi 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“设计、图片与音频”中的其他服务器比较i

  • 星标数多于此分类中其他 2757 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2757 个服务器的 83% 更新
  • 基础检查结果等于或优于此分类中其他 2757 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Figma MCP Server 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:FIGMA_API_KEY

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(3.1.3)于6天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。

有什么可以替代它?

同一分类中有:Figma Context MCP, Claude Real Video, Figma MCP Server

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Figma Context MCP

作者:GLips

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

在你的电脑上运行★ 16,165MIT5个月前更新
安装

Claude Real Video

作者:HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

在你的电脑上运行★ 2,284MIT2个月前更新
安装

Figma MCP Server

作者:figma

The Figma MCP server brings Figma design context directly into your AI workflow.

在云端运行★ 2,15213个月前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Figma MCP Server

A single call leaves your editor and returns with a design laid open. This is a local server that carries the whole of the Figma REST API, every endpoint within reach and none withheld. It speaks with Claude Desktop, Cursor, VS Code, the Gemini CLI, and any client that speaks MCP. You will find it on npm and in the official MCP Registry, waiting to be called.

How it works

Every endpoint of the Figma REST API stands here as a single self-describing tool, and each one says plainly what it needs. At startup the server walks the tools/figma/ directory and gathers them, so to teach it a new endpoint you lay down one new file and nothing more. Before any call goes out its required parameters are weighed, and the unfinished request is turned back at the threshold. It speaks over stdio, quietly, one message at a time.

Prerequisites

This server is grown from Bun, and it asks for version 1.2 or newer. Being Bun-native, it answers to bunx and not to npx, for Node cannot carry it.

Figma API key

One key opens the whole door. Create a personal access token in Figma under Settings > Security > Personal access tokens > Generate new token, then give it to the server as FIGMA_API_KEY, set within your client config's env block as shown below.

Configure your client

Many clients, and one server beneath them all. Point command at bunx, or at its absolute path from which bunx when the client cannot find it on your PATH.

{

"mcpServers": { "figma": { "command": "bunx", "args": ["figma-mcp-server"], "env": { "FIGMA_API_KEY": "your_figma_api_key_here" } } } }

Each client keeps its config in its own place.

  • Claude Desktop: Settings > Developer > Edit Config (claude_desktop_config.json)
  • Cursor: ~/.cursor/mcp.json, or .cursor/mcp.json per project
  • Gemini CLI: ~/.gemini/settings.json

Once the config is written, restart the client so the change takes hold.

VS Code

Use .vscode/mcp.json for a workspace, or your user mcp.json, each holding a servers key. Rather than carve the token into the file, name an input and let VS Code ask for it, so the secret is spoken once and then kept safe.

{

"inputs": [ { "type": "promptString", "id": "figma-api-key", "description": "Figma API Key", "password": true } ], "servers": { "figma": { "command": "bunx", "args": ["figma-mcp-server"], "env": { "FIGMA_API_KEY": "${input:figma-api-key}" } } } }

  • With ${input:figma-api-key}, VS Code prompts you for the key the first time the server starts, then stores it in your OS secret storage.
  • To re-enter or clear it: Command Palette → MCP: List Servers → pick the server → reset/edit its inputs.

Tool coverage

The whole of the Figma REST API is here, every endpoint that still stands, fifty-five tools in all, gathered across these domains.

  • Files and nodes (files, node trees, image rendering, image fills, metadata, version history, duplicate)
  • Variables / design tokens (read, published, bulk modify)
  • Components, component sets, and styles (file, published, and team scopes)
  • Comments and reactions
  • Teams (get, create, invite members)
  • Folders (top-level folders, subfolders, files, metadata, create)
  • Users
  • Dev resources
  • Webhooks (v2)
  • Library analytics (component, style, and variable actions and usages)
  • Organization: activity logs, developer logs, AI usage (Enterprise)
  • Embeds and payments

For the full and ever-current roll of tool names and their parameters, look to your MCP client's own list.

Plan requirements

Most tools open to any plan's personal access token. A few ask for more.

  • Variables (list_file_variables, get_published_variables, modify_variables): Enterprise organization.
  • Library analytics (get_library_*): Organization or Enterprise plan.
  • Activity logs, developer logs, AI usage: Enterprise organization with an admin or plan access token.
  • File duplication, team and folder creation, and team invites (duplicate_file, create_team, create_folder, invite_team_members): Enterprise plan via a private OAuth app.

Kept in sync

Figma's API does not stand still, and neither does this server. Twice each month, on the first day and the fifteenth, a workflow wakes of its own accord, reaches out for the newest Figma specification, and sets it beside the one already held, marking every endpoint that has arrived, changed, or departed. It runs the type checks and the tests before it trusts the change, and when all of it holds it opens a pull request for a human to read and welcome in. You may also call it by hand whenever the need arises. The work lives in .github/workflows/sync-spec.yml, and the spec it tends is kept in spec/figma-openapi.json.


MIT License · By @planetabhi ⋛⋋( ⊙◊⊙)⋌⋚

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