Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
作者提供的说明(英文原文)
Video production: recording, editing, effects, captions, TTS, screenshots. 8 tools.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"video": {
"command": "npx",
"args": [
"-y",
"@studiomeyer/mcp-video"
]
}
}
}在终端中运行这条命令
claude mcp add video -- npx -y @studiomeyer/mcp-video粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"video": {
"command": "npx",
"args": [
"-y",
"@studiomeyer/mcp-video"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"video": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@studiomeyer/mcp-video"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日
注册名称已通过域名 studiomeyer.io 验证(注册中心会核实域名所有权)
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(1.0.4)于5天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Figma Context MCP, Claude Real Video, Figma MCP Server
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
The Figma MCP server brings Figma design context directly into your AI workflow.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Part of the [StudioMeyer MCP Stack](https://studiomeyer.io) — Built in Mallorca 🌴 · ⭐ if you use it
Cinema-grade video production for AI agents.
8 MCP tools for recording, editing, effects, captions, TTS, and smart screenshots.
Built on ffmpeg and Playwright. Works with any MCP client.
Features · Quick Start · Examples · Architecture
We have been building tools and systems for ourselves for the past two years. The fact that this repo is small and has few stars is not because it is new. It is because we only just decided to share what we have built. It is not a fresh experiment, it is a long story with a recent commit.
We love building things and sharing them. We do not love social media tactics, growth hacks, or chasing stars and followers. So this repo is small. The code is real, it gets used, issues get answered. Judge for yourself.
If it helps you, sharing, testing, and feedback help us. If it could be better, an issue is more useful. If you build something with it, tell us at hello@studiomeyer.io. That genuinely makes our day.
From a small studio in Palma de Mallorca.
| Tool | Operations | Description |
|---|---|---|
video_record | cinema, scroll, multi-device | Record websites at 60fps with frame-by-frame capture |
video_edit | speed, crop, reverse, keyframe, pip | Edit clips with zoom/pan, PiP, slow-mo |
video_color | grade, effect, lut, chroma | Color grading, 22 LUT presets, green screen |
video_audio | extract, music, ducking, mix, voice | Audio extraction, mixing, 9 voice effects |
video_text | subtitles, caption, overlay, animate | Burn SRT, Whisper auto-caption, 15 text animations |
video_compose | concat, intro, social, beat-sync, templates | Join clips, social format conversion, beat sync |
video_speech | generate, voices, narrated | ElevenLabs/OpenAI TTS, full narrated videos |
video_screenshot | capture, detect | Element-aware screenshots, page feature detection |
cinematic and showcase for buttery smooth scrolling.npx playwright install chromium)ELEVENLABS_API_KEY for ElevenLabs TTSOPENAI_API_KEY for Whisper captions and OpenAI TTSIf ffmpeg lives outside PATH, set FFMPEG_PATH and FFPROBE_PATH to the absolute binary paths. Both env vars are honoured at startup AND at every runtime spawn site.
{
"mcpServers": { "video": { "command": "npx", "args": ["-y", "@studiomeyer/mcp-video"] } } }
npx @studiomeyer/mcp-video
git clone https://github.com/studiomeyer-io/mcp-video.git
cd mcp-video npm install npx playwright install chromium npm run build npm start
# Start as HTTP microservice
npx @studiomeyer/mcp-video --http --port=9847
MCP_HTTP=1 MCP_PORT=9847 npx @studiomeyer/mcp-video
| Environment Variable | Default | Description |
|---|---|---|
VIDEO_OUTPUT_DIR | ./output | Directory for generated files |
FFMPEG_PATH | — | Absolute path to ffmpeg binary if not on PATH |
FFPROBE_PATH | — | Absolute path to ffprobe binary if not on PATH |
ELEVENLABS_API_KEY | — | ElevenLabs TTS API key |
OPENAI_API_KEY | — | OpenAI API key (Whisper + TTS) |
MCP_HTTP | false | Enable HTTP transport |
MCP_PORT | 9847 | HTTP port |
MCP_HOST | 127.0.0.1 | HTTP bind address |
MCP_VIDEO_DEBUG | false | Enable debug logging |
MCP_VIDEO_ALLOW_INTERNAL | false | Set to 1 to allow URLs that resolve to localhost / private / metadata IPs. Local dev only — leave unset in production (SSRF guard). |
| Use Case | Tools Used | Output |
|---|---|---|
| Product demo video | video_record → video_text → video_audio | 60fps website recording + auto-captions + background music |
| Social media clips | video_record → video_compose | Record once → export to Instagram Reel, TikTok, YouTube Short |
| Narrated explainer | video_speech → video_color | AI voiceover + cinematic color grade |
| Before/after comparison | video_screenshot → video_edit | Smart element screenshots + PiP composition |
| Automated QA | video_record + video_screenshot | Record user flows + screenshot specific elements |
Use video_record with type "cinema" to record https://example.com
with a smooth scroll and hover over the navbar.
Use video_speech with type "narrated" to create a narrated video of
https://example.com with these segments:
Use video_text with type "caption" to add auto-generated captions
to /path/to/video.mp4
Use video_compose with type "social-all" to convert
/path/to/video.mp4 to all social media formats.
Use video_screenshot with type "capture" to screenshot the chat widget
and pricing section on https://example.com
src/
server.ts Entry point, 8 consolidated MCP tools lib/ Logger, types, dual transport handlers/ Tool handlers (video, editing, post-production, tts, screenshots) schemas/ JSON Schema definitions for legacy tool format tools/ engine/ Core engines capture.ts Frame-by-frame recording (Playwright → PNG → ffmpeg) encoder.ts ffmpeg encoding pipeline scenes.ts Scene execution (scroll, hover, click, type, wait) cursor.ts Visible cursor simulation smart-screenshot.ts Element-aware screenshot engine tts.ts ElevenLabs + OpenAI TTS with fallback narrated-video.ts Full narration pipeline social-format.ts Social media format conversion concat.ts Video concatenation with transitions lut-presets.ts 22 cinema LUT presets ...and more
npm run dev # Start with tsx (hot reload)
npm run typecheck # Type check npm test # Run tests npm run check # Verify ffmpeg/ffprobe installed
StudioMeyer is an AI and design studio based in Palma de Mallorca, working with clients worldwide. We build custom websites and AI infrastructure for small and medium businesses. Production stack on Claude Agent SDK, MCP and n8n, with Sentry, Langfuse and LangGraph for observability and an in-house guard layer.
MIT
Built by StudioMeyer. Part of our open-source toolkit for AI-powered content creation.