原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

StudioMeyer Video

作者:studiomeyer-io版本 1.0.4i★ –i在你的电脑上运行
注册名称io.studiomeyer/video

安装

概览

作者提供的说明(英文原文)

Video production: recording, editing, effects, captions, TTS, screenshots. 8 tools.

PopNx MCP 的三大支柱

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。

它能帮你做什么

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。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 设计、图片与音频

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • npm已安装 Node.js(用于 npx 命令)

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

在 Cursor 中打开

或者自己复制设置

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。

在 VS Code 中打开

或者自己复制设置

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。

它能做什么

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。

基础检查i

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

  • ✓ 通过

    作者与仓库一致

    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)

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    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“设计、图片与音频”中的其他服务器比较i

  • 星标数多于此分类中其他 2186 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2186 个服务器的 86% 更新
  • 基础检查结果等于或优于此分类中其他 2186 个服务器的 100%

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。

常见问题

StudioMeyer Video 安全吗?

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。

它需要哪些密钥或代码?

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。

它在我的电脑上运行还是在云端?

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)。

它还在维护吗?

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。

哪些应用可以使用它?

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。

有什么可以替代它?

同一分类中有:Figma Context MCP, Claude Real Video, Figma MCP Server

替代选择

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

Figma Context MCP

作者:GLips

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

在你的电脑上运行★ 16,165MIT5个月前更新
安装

Claude Real Video

作者:HUANGCHIHHUNGLeo

Let any LLM watch a video locally — and search everything it has ever watched.

在你的电脑上运行★ 2,284MIT2个月前更新
安装

Figma MCP Server

作者:figma

The Figma MCP server brings Figma design context directly into your AI workflow.

在云端运行★ 2,15213个月前更新
安装

作者的 README

打开 README

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

mcp-video

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

A note from us

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.

Features

ToolOperationsDescription
video_recordcinema, scroll, multi-deviceRecord websites at 60fps with frame-by-frame capture
video_editspeed, crop, reverse, keyframe, pipEdit clips with zoom/pan, PiP, slow-mo
video_colorgrade, effect, lut, chromaColor grading, 22 LUT presets, green screen
video_audioextract, music, ducking, mix, voiceAudio extraction, mixing, 9 voice effects
video_textsubtitles, caption, overlay, animateBurn SRT, Whisper auto-caption, 15 text animations
video_composeconcat, intro, social, beat-sync, templatesJoin clips, social format conversion, beat sync
video_speechgenerate, voices, narratedElevenLabs/OpenAI TTS, full narrated videos
video_screenshotcapture, detectElement-aware screenshots, page feature detection
Highlights
  • 60fps frame-by-frame capture — Playwright screenshots every frame, ffmpeg encodes. Zero frame drops.
  • Cinema easing curves — 16 easing options including cinematic and showcase for buttery smooth scrolling.
  • Smart screenshots — Auto-detects 15+ UI elements (chat widgets, pricing sections, booking forms, etc.).
  • Narrated videos — Provide a URL + script, get a professional video with synchronized AI voiceover.
  • 22 LUT presets — Film-grade color grading (teal-orange, noir, vintage, cyberpunk, etc.).
  • Social format export — One-click conversion to Instagram Reel, TikTok, YouTube Short, LinkedIn.
  • Dual transport — Stdio (default) or HTTP mode for persistent microservice deployment.

Prerequisites

  • Node.js >= 18
  • ffmpeg and ffprobe (validated on startup, cross-platform)
  • Playwright browsers (npx playwright install chromium)
  • Optional: ELEVENLABS_API_KEY for ElevenLabs TTS
  • Optional: OPENAI_API_KEY for Whisper captions and OpenAI TTS

If 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.

Quick Start

With Claude Code (stdio)
{

"mcpServers": { "video": { "command": "npx", "args": ["-y", "@studiomeyer/mcp-video"] } } }

With npx
npx @studiomeyer/mcp-video
From source
git clone https://github.com/studiomeyer-io/mcp-video.git

cd mcp-video npm install npx playwright install chromium npm run build npm start

HTTP mode
# Start as HTTP microservice

npx @studiomeyer/mcp-video --http --port=9847

Or via environment variables

MCP_HTTP=1 MCP_PORT=9847 npx @studiomeyer/mcp-video

Configuration

Environment VariableDefaultDescription
VIDEO_OUTPUT_DIR./outputDirectory 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_HTTPfalseEnable HTTP transport
MCP_PORT9847HTTP port
MCP_HOST127.0.0.1HTTP bind address
MCP_VIDEO_DEBUGfalseEnable debug logging
MCP_VIDEO_ALLOW_INTERNALfalseSet to 1 to allow URLs that resolve to localhost / private / metadata IPs. Local dev only — leave unset in production (SSRF guard).

What You Can Build

Use CaseTools UsedOutput
Product demo videovideo_record → video_text → video_audio60fps website recording + auto-captions + background music
Social media clipsvideo_record → video_composeRecord once → export to Instagram Reel, TikTok, YouTube Short
Narrated explainervideo_speech → video_colorAI voiceover + cinematic color grade
Before/after comparisonvideo_screenshot → video_editSmart element screenshots + PiP composition
Automated QAvideo_record + video_screenshotRecord user flows + screenshot specific elements

Usage Examples

Record a website
Use video_record with type "cinema" to record https://example.com

with a smooth scroll and hover over the navbar.

Create a narrated explainer video
Use video_speech with type "narrated" to create a narrated video of

https://example.com with these segments:

  1. "Welcome to our homepage" — pause on hero section
  2. "Check out our features" — scroll to features
  3. "Get started today" — hover over CTA button
Auto-caption a video
Use video_text with type "caption" to add auto-generated captions

to /path/to/video.mp4

Export for social media
Use video_compose with type "social-all" to convert

/path/to/video.mp4 to all social media formats.

Smart screenshot
Use video_screenshot with type "capture" to screenshot the chat widget

and pricing section on https://example.com

Architecture

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

Development

npm run dev          # Start with tsx (hot reload)

npm run typecheck # Type check npm test # Run tests npm run check # Verify ffmpeg/ffprobe installed

About StudioMeyer

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.

License

MIT

Credits

Built by StudioMeyer. Part of our open-source toolkit for AI-powered content creation.

问 PopNx