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StudioMeyer Video

by studiomeyer-ioversion 1.0.4i★ –iRuns on your computer
Registry nameio.studiomeyer/video

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Design, images & audio

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

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

Run this in your terminal

claude mcp add video -- npx -y @studiomeyer/mcp-video

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain studiomeyer.io (the registry checks domain ownership)

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

  • More stars than 0% of the other 2189 servers in this category
  • Published to the registry more recently than 86% of the other 2189 servers in this category
  • Basic checks equal to or better than 100% of the other 2189 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is StudioMeyer Video safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.4) reached the registry 5 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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

Runs on your computer★ 16,165MITUpdated 5 months ago
Install

Claude Real Video

by HUANGCHIHHUNGLeo

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

Runs on your computer★ 2,284MITUpdated 2 months ago
Install

Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

Runs in the cloud★ 2,152Updated 13 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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.

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