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CodeRabbitMCP server to provide Figma layout information to AI coding agents like Cursor
"Automated summary for AI agents and search engines."
MCP server to provide Figma layout information to AI coding agents like Cursor
{
"title": "Figma Context MCP",
"url": "https://github.com/GLips/Figma-Context-MCP",
"description": "Figma Context MCP is a specialized server designed to enhance the capabilities of AI coding agents, such as Cursor, by furnishing them with detailed layout information directly from Figma designs. It acts as a crucial intermediary, translating visual design elements into structured data that AI models can interpret and utilize during code generation. This tool specifically addresses the challenge of integrating comprehensive design context into AI-driven development workflows, allowing agents to understand UI/UX specifications more accurately and produce corresponding code that closely matches the original design intent. Developers leveraging AI for front-end or UI work will find this server invaluable for improving the precision and relevance of AI-generated code snippets, streamlining the process of converting design concepts into functional code.",
"category": "MCP Servers",
"useCases": [
"Providing real-time Figma design context to AI code generation tools",
"Enhancing AI agents' ability to understand and replicate UI layouts from Figma",
"Automating the translation of Figma design specifications into code structures",
"Facilitating AI-assisted front-end development by supplying precise layout data",
"Debugging AI-generated UI code against original Figma designs"
],
"difficulty": "intermediate",
"exampleCommand": "git clone https://github.com/GLips/Figma-Context-MCP.git",
"tokenImpact": "Moderate ~1500-3000 tokens per context request, significantly increasing AI agent's input cost.",
"tags": [
"Figma API",
"AI Development",
"Layout Extraction",
"Design-to-Code",
"Context Server",
"Developer Workflow"
],
"copyButtonText": "Get Figma Context Server"
}🚀 The fast, Pythonic way to build MCP servers and clients.
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一个基于 MCP (Model Context Protocol) 的邮件服务，支持 LLM 发送带附件的电子邮件及在指定目录中搜索文件。提供安全的 SMTP 传输、多收件人支持和附件模式匹配搜索功能，适用于 Gmail、Outlook、Yahoo、QQ 邮箱和网易 126 邮箱等主流邮箱服务。
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