Figma 资源访问器
允许您的AI编码代理直接访问Figma文件和原型。有关任何问题/改进建议，可以给我发私信：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
MCP 服务配置
复制以下 JSON 到 OPClaw 或其他 MCP 客户端的配置文件中即可使用
{
"mcpServers": {
"figma-python": {
"args": [
"--figma-api-key=your_figma_key"
],
"command": "figma-mcp"
}
}
}该服务需要配置环境变量：FIGMA_API_TOKEN
可用工具 （3 个）
该服务在 MCP 协议中暴露的工具，AI 可按需调用
get_components 1 个参数 需填 1 项
Get components available in a Figma file Args: file_key (str): The file key found in the shared Figma URL Returns: list[dict]: List of components found in the Figma file
必填参数：file_key
get_node 2 个参数 需填 2 项
Get a specific node from a Figma file Args: file_key (str): The file key found in the shared Figma URL, e.g. if url is https://www.figma.com/proto/do4pJqHwNwH1nBrrscu6Ld/Untitled?page-id=0%3A1&node-id=0-3&viewport=361%2C361%2C0.08&t=9SVttILbgMlPWuL0-1&scaling=min-zoom&content-scaling=fixed&starting-point-node-id=0%3A3, then the file key is do4pJqHwNwH1nBrrscu6Ld node_id (str): The ID of the node to retrieve, has to be in format x:x, e.g. in url it will be like 0-3, but it should be 0:3 Returns: dict: The node data if found, empty dict if not found
必填参数：file_key、node_id
get_workflow 1 个参数 需填 1 项
Get workflows available in a Figma file Args: file_key (str): The file key found in the shared Figma URL, e.g. if url is https://www.figma.com/proto/do4pJqHwNwH1nBrrscu6Ld/Untitled?page-id=0%3A1&node-id=0-3&viewport=361%2C361%2C0.08&t=9SVttILbgMlPWuL0-1&scaling=min-zoom&content-scaling=fixed&starting-point-node-id=0%3A3, then the file key is do4pJqHwNwH1nBrrscu6Ld Returns: list[dict]: List of workflow connections found in the Figma file
必填参数：file_key
服务介绍
Figma MCP Python
允许您的AI编码代理直接访问Figma文件和原型。
如果您有任何问题或改进建议，可以私信我：https://x.com/jasonzhou1993
使用pipx快速安装
pipx install figma-mcp
对于Cursor：
- 在设置中，使用以下命令添加一个MCP服务器：
figma-mcp --figma-api-key=your_figma_key
- 或者在项目中添加一个
.cursor/mcp.json文件：
{
"mcpServers": {
"figma-python": {
"command": "figma-mcp",
"args": [
"--figma-api-key=your_figma_key"
]
}
}
}
对于像Windsurf这样的其他IDE，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
