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)
Record a real browser page and cut it into a publishable vertical video. Local, no cloud.
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": {
"screenrec-agent": {
"command": "npx",
"args": [
"-y",
"screenrec-agent"
]
}
}
}在终端中运行这条命令
claude mcp add screenrec-agent -- npx -y screenrec-agent粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"screenrec-agent": {
"command": "npx",
"args": [
"-y",
"screenrec-agent"
]
}
}
}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": {
"screenrec-agent": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"screenrec-agent"
]
}
}
}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 GitHub 账户 Robert0303-C 验证,该账户拥有此仓库
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(0.1.5)于7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。
Let your AI agent record a real browser page and cut it into a publishable vertical video.
By xukunAI · an MCP server for Claude Code, Cursor, Codex and Hermes. Your agent records a page over CDP (no browser extension, no permission dialog), then composes the clip: device frame, held-frame callouts, punch-ins, captions, music with real ducking, end card.
Everything runs locally. No upload, no API key, no cloud render.
split puts a second recording next to the first — stacked in 9:16, side by side in 16:9, with ratio and gap to tune it. The direction follows the canvas, so the agent never has to choose. Captions, callouts, end card and music still apply in the same call.
{ "target": "vertical",
"split": { "source": "C:/rec/second.webm", "ratio": 0.5, "gap": 6 }, "captions": [{ "start": 0.8, "end": 5.0, "text": "before / after" }] }
Full guides: [English](docs/USAGE.md) · [中文](docs/USAGE.zh.md)
录制 → 设备框 → 冻结圈注 → 局部放大 → 字幕 → 结尾卡 → 成片
Every "AI video" tool generates pixels and hopes the text survives. This one doesn't generate anything: it records your actual UI and draws text with a font engine. Every digit is your real number.
The agent-facing part is the point: an agent can produce a finished clip as a tool call, not a chat suggestion.
| Tool | What it does |
|---|---|
recorder_status | recording state, bytes, bridge status |
recorder_start | start recording a tab (Chrome requires one human click — see below) |
recorder_stop | stop and save to Downloads |
recorder_files | list recent recordings |
compose_clip | the actual product: record → finished video |
compose_clip takes captions, annotations (held-frame callouts), focus (punch-ins), end_title, music, frame (phone/browser), pip (picture-in-picture), split (second recording on the same canvas).
npx (recommended) — works in Claude Code, Cursor, Codex, Hermes and any MCP client:
{
"mcpServers": { "screen-recorder": { "command": "npx", "args": ["-y", "screenrec-agent"] } } }
Then verify the install:
npx -y screenrec-agent --selftest
First run downloads the agent (~33 MB) and a pinned ffmpeg build (~201 MB) into %LOCALAPPDATA%\screenrec-agent\bin. The cache is reused afterwards, and upgrading the launcher re-downloads only the agent — ffmpeg is not fetched again. Downloads resume and retry on a dropped connection instead of failing silently.
Or use the exe directly. Download screenrec-agent.exe from the latest release, put ffmpeg.exe beside it (only compose_clip needs ffmpeg), and point command at the exe.
Published in the official MCP Registry as io.github.Robert0303-C/screenrec-agent.
| Free | Full — $39 once | |
|---|---|---|
recorder_* — record with your agent | unlimited, forever | unlimited |
compose_clip — turn a recording into a finished clip | 24 hours / 5 clips | unlimited |
| Runs locally, nothing uploaded | yes | yes |
The trial starts on your first successful compose, not on install. When it ends, compose_clip returns license_required with a purchase link — recording keeps working, nothing is deleted, nothing crashes. Check what is left with screenrec-agent --status, unlock with screenrec-agent --activate .
The only network call is activation itself. Trial state lives on your machine (three copies, clock rollback detection) because the alternative is a server that watches you use it. Deleting all three copies is equivalent to a fresh install — offline software cannot prevent that, and we would rather be honest about it than ship surveillance.
Buy: https://www.creem.io/product/prod_57FG0V8N2N4z3PrCzK0Klr · xukun.online
chrome.tabCapture needs activeTab, and activeTab only comes from invoking the extension on that tab. No script can fake it (verified: even a trusted CDP click inside an extension page fails). So:
Commercial. Source available for review; redistribution of the packaged binary is not permitted.