Part of the StudioMeyer MCP Stack — 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 [email protected]. That genuinely makes our day.
From a small studio in Palma de Mallorca.
Features
Highlights
- 60fps frame-by-frame capture — Playwright screenshots every frame, ffmpeg encodes. Zero frame drops.
- Cinema easing curves — 16 easing options including
cinematicandshowcasefor 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_KEYfor ElevenLabs TTS - Optional:
OPENAI_API_KEYfor 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
What You Can Build
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.
- ai-shield — LLM security middleware for TypeScript
- agent-fleet — Multi-agent orchestration for Claude Code
- darwin-agents — Self-evolving agent framework
