mcp-video

mcp-video

A cinema-grade video production MCP server that enables automated website recording, editing, and AI-powered narration using ffmpeg and Playwright. It provides tools for color grading, captioning, and converting videos into social media formats through natural language commands.

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README

mcp-video

Cinema-grade video production MCP server. 8 tools for recording, editing, effects, captions, TTS, and smart screenshots.

Built on ffmpeg and Playwright. Works with any MCP client (Claude Code, Claude Desktop, custom agents).

Features

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

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)
  • Playwright browsers (npx playwright install chromium)
  • Optional: ELEVENLABS_API_KEY for ElevenLabs TTS
  • Optional: OPENAI_API_KEY for Whisper captions and OpenAI TTS

Quick Start

With Claude Code (stdio)

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

With npx

npx 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 mcp-video --http --port=9847

# Or via environment variables
MCP_HTTP=1 MCP_PORT=9847 npx mcp-video

Configuration

Environment Variable Default Description
VIDEO_OUTPUT_DIR ./output Directory for generated files
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

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

License

MIT

Credits

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

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