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figma-mcp

Figma MCP Python

允许你的 AI 编码代理直接访问 Figma 文件和原型。如有任何问题或改进,请直接联系我: https://x.com/jasonzhou1993

使用 pipx 快速安装

pipx install figma-mcp

对于光标:

  1. 在设置中,使用以下命令添加 MCP 服务器:
figma-mcp --figma-api-key=your_figma_key
  1. 或者在您的项目中添加一个.cursor/mcp.json文件:
{ "mcpServers": { "figma-python": { "command": "figma-mcp", "args": [ "--figma-api-key=your_figma_key" ] } } }

对于其他 IDE(例如 Windsurf),请使用 MCP 配置文件(例如mcp_config.json ):

{ "mcpServers": { "figma-python": { "command": "figma-mcp", "args": [ "--figma-api-key=your_figma_key" ] } } }

安装 uv 并设置环境

curl -LsSf https://astral.sh/uv/install.sh | sh uv venv source .venv/bin/activate uv sync

本地测试

python -m figma_mcp.main
Install Server
A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

允许你的 AI 编码代理直接访问 Figma 文件和原型。如有任何问题或改进,请直接联系我: https://x.com/jasonzhou1993

  1. 访问所有 figma 页面
  2. 访问所有 figma 组件
  3. 访问 figma 原型流程
  1. 使用 pipx 快速安装
    1. 对于光标:
    2. 对于其他 IDE(例如 Windsurf),请使用 MCP 配置文件(例如mcp_config.json ):
  2. 安装 uv 并设置环境
    1. 本地测试

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