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CodeRabbitAntigravity Figma Mcp Study 01 — MCP Servers
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Antigravity Figma Mcp Study 01 — MCP Servers
{"id":"398c22ea-af4f-4b04-9537-0b691af3eda8","title":"Figma MCP Study 01 Server","description":"Figma MCP Study 01 Server explores advanced integration patterns for connecting AI agents with Figma, focusing on experimental features like real-time component synchronization and sophisticated design analysis. This prototype allows developers to test novel agent-driven design workflows, automate complex design system transformations, and extract deeper insights from Figma files programmatically.","dateModified":"2026-04-03","difficulty":"advanced","tags":["figma","ui-design","design-research","mcp-server","prototype"],"tokenImpact":"Heavy — can trigger 7-day lockout on Pro tier, use with caution.","schemaDescription":"A prototype Model Context Protocol server for Figma, designed to explore advanced agent-design interactions. Focuses on experimental capabilities such as real-time component updates, semantic design analysis, and complex design system transformations, enabling innovative AI-driven design automation and research.","author":"yuichiroharai-studies","authorGithub":"https://github.com/yuichiroharai-studies","license":"Unknown","transport":"Remote","language":"Python","useCases":["Experiment with AI-driven component generation and modification in Figma.","Research methods for automated design system linting and correction.","Develop agents that can perform semantic analysis of design layouts.","Test real-time synchronization of design changes between Figma and code.","Explore advanced design data extraction for analytics and reporting."],"exampleCommand":"pip install antigravity-figma-mcp-study-01","mcpConfig":{"mcpServers":{"figma-study-01":{"command":"python","args":["-m","antigravity_figma_mcp_study_01.server"],"env":{"FIGMA_API_KEY":"YOUR_KEY_HERE"}}}},"compatibility":["Google Antigravity IDE"],"copyButtonText":"Copy mcp_config.json","artifactsProduced":["Experimental Figma file updates","Design analysis reports","Component change logs"],"faq":[{"question":"What can you do with Figma MCP Study 01 Server?","answer":"Figma MCP Study 01 Server allows developers and researchers to experiment with advanced AI-driven interactions with Figma, including real-time component synchronization, sophisticated design analysis, and automated design system transformations, pushing the boundaries of generative design."},{"question":"Which AI assistants and IDEs are compatible with Figma MCP Study 01 Server?","answer":"This experimental server is compatible with any Model Context Protocol-enabled AI assistant, such as Google Antigravity IDE, providing a sandbox for integrating novel AI capabilities directly into the Figma design environment."},{"question":"How do I install and configure Figma MCP Study 01 Server?","answer":"1. Install the prototype server: `pip install antigravity-figma-mcp-study-01`. 2. Obtain your Figma API key. 3. Add the server to your `mcp_config.json`, configuring the Python command and supplying the API key as an environment variable, then restart your IDE."}]}🚀 The fast, Pythonic way to build MCP servers and clients.
MCP web search using perplexity without any API KEYS
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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