Claude Real Video
Let any LLM watch a video locally — and search everything it has ever watched.
作者提供的说明(英文原文)
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
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。
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。
选择你使用的 AI 应用,然后复制设置。
FIGMA_API_KEY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
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-context": {
"command": "npx",
"args": [
"-y",
"figma-developer-mcp",
"--stdio"
],
"env": {
"FIGMA_API_KEY": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add figma-context --env FIGMA_API_KEY=your-value -- npx -y figma-developer-mcp --stdio运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"figma-context": {
"command": "npx",
"args": [
"-y",
"figma-developer-mcp",
"--stdio"
],
"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。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"figma-context": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"figma-developer-mcp",
"--stdio"
],
"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。
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。
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7日
注册名称已通过 GitHub 账户 GLips 验证,该账户拥有此仓库
代码最后更新于11天前
使用 MIT
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
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。
它在 3 项适用的基础检查中通过了 3 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。
你需要填写:FIGMA_API_KEY
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)。
GitHub 仓库最后更新于11天前,最新版本(0.13.2)于5个月前进入注册中心。
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。
同一分类中有:Claude Real Video, Figma MCP Server, Harness
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
Let any LLM watch a video locally — and search everything it has ever watched.
The Figma MCP server brings Figma design context directly into your AI workflow.
Start Claude Code and Codex agents the person can watch, wait for them and read their answers.
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。
Framelink MCP for Figma Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Give Cursor and other AI-powered coding tools access to your Figma files with this Model Context Protocol server.
When Cursor has access to Figma design data, it's way better at one-shotting designs accurately than alternative approaches like pasting screenshots.
See quickstart instructions →
Watch a demo of building a UI in Cursor with Figma design data
This MCP server is specifically designed for use with Cursor. Before responding with context from the Figma API, it simplifies and translates the response so only the most relevant layout and styling information is provided to the model.
Reducing the amount of context provided to the model helps make the AI more accurate and the responses more relevant.
Many code editors and other AI clients use a configuration file to manage MCP servers.
The figma-developer-mcp server can be configured by adding the following to your configuration file.
NOTE: You will need to create a Figma access token to use this server. Instructions on how to create a Figma API access token can be found here.
{
"mcpServers": { "Framelink MCP for Figma": { "command": "npx", "args": ["-y", "figma-developer-mcp", "--figma-api-key=YOUR-KEY", "--stdio"] } } }
{
"mcpServers": { "Framelink MCP for Figma": { "command": "cmd", "args": ["/c", "npx", "-y", "figma-developer-mcp", "--figma-api-key=YOUR-KEY", "--stdio"] } } }
Or you can set FIGMA_API_KEY and PORT in the env field.
If you need more information on how to configure the Framelink MCP for Figma, see the Framelink docs.
The Framelink MCP for Figma is simple but powerful. Get the most out of it by learning more at the Framelink site.