Figma-Context-MCP
MCP server to provide Figma layout information to AI coding agents like Cursor
- 评测生成时间(北京时间)
- 本报告引擎
- v3.10.0
- 当前引擎
- v3.16.0
本报告与当前引擎使用不同规则;原分数不会自动更新,不同版本的分数不宜直接对比。
进入后确认来源与额度,提交才会创建任务。
综合采用结论
核心能力可用,建议在受控范围内试用
- 基础评测完成+25/25确定性评分与静态安全扫描已完成
- README 有效证据+6/252,574 个去重后的有效字符
- 独立证据来源+4/201 类非重复证据,重复文件不叠加
- 仓库元数据+10/10已取得仓库状态与采用数据
- 活跃记录+5/5已取得最近提交时间
- AI 复核+15/15已完成结构化 AI 证据复核
Figma MCP与Cursor交互流程
README描述了用户、Cursor、MCP服务器之间的请求响应关系
左右滑动查看完整图示
- • README中'How it works'步骤1-4
- • 描述'Cursor will fetch the relevant metadata from Figma'
- • 说明'it simplifies and translates the response'
- README中'How it works'步骤:粘贴链接、请求实现、获取元数据
- 配置示例:npx -y figma-developer-mcp --figma-api-key=YOUR-KEY --stdio
- 说明'简化并翻译响应,只提供最相关的布局和样式信息'
- 提供演示视频链接和Framelink文档链接
- 问题与用途描述
- 有效 README
- 安装或接入步骤
- 可执行示例
- 未发现已知高风险模式
- 缺少限制、权限或边界
- 缺少错误处理或排障
- 未列出具体MCP工具名称和参数
- 未说明错误处理或排障方法
- 未提及权限边界或数据安全默认值
使用Cursor的开发者、需要从Figma设计生成代码的场景、希望减少上下文噪声的AI编码、快速原型开发
需要详细工具文档的开发者、对数据安全有严格要求的场景
也有自己的公开项目?先看完证据,再用当前规则生成独立报告。
评测我的项目 →静态扫描不是安全保证,生产接入前仍应人工复核权限和数据边界。
- 01补充限制、权限或边界
- 02补充错误处理或排障
方法、证据与局限展开收起
GitHub Repository API
1 个文件 · 4,182 字符
v3.10.0 · AI 复核已启用(deepseek-chat)
- 静态评测不会安装或执行项目代码
- 安全扫描基于高信号文件与已知模式,不能替代人工审计
- 流行度只反映采用程度,不代表安全或工程质量
30 天热度趋势
README
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 →
Demo
Watch a demo of building a UI in Cursor with Figma design data
How it works
- Open your IDE's chat (e.g. agent mode in Cursor).
- Paste a link to a Figma file, frame, or group.
- Ask Cursor to do something with the Figma file—e.g. implement the design.
- Cursor will fetch the relevant metadata from Figma and use it to write your code.
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.
Getting Started
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.
MacOS / Linux
{
"mcpServers": {
"Framelink MCP for Figma": {
"command": "npx",
"args": ["-y", "figma-developer-mcp", "--figma-api-key=YOUR-KEY", "--stdio"]
}
}
}
Windows
{
"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.
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Learn More
The Framelink MCP for Figma is simple but powerful. Get the most out of it by learning more at the Framelink site.
