CapCut MCP Server — Extended

An extended MCP (Model Context Protocol) server for automating CapCut video editing through Claude Code. Supports parametrized typography, animation presets, and full talking-head production workflows.

Based on

This project is a fork and extension of capcut-mcp-server by @atx-guy, licensed under MIT.

All original tools have been preserved and extended with:

• Parametrized typography system (font, size, position, color)
• Animation presets library
• Talking head production preset
• Reels/Shorts workflow preset
• Subtitle style system

Tools

Requirements

• Node.js 18+
• Claude Code
• CapCut (Windows or Mac)

Installation

git clone https://github.com/TU_USUARIO/capcut-mcp-server-pro
cd capcut-mcp-server-pro
npm install
npm run build
claude mcp add capcut -- node /ruta/dist/index.js

Usage

claude
> Crea un proyecto talking head con el video en C:/grabacion.mp4, 
  subtítulos en blanco, fuente Montserrat 72px, y guárdalo en CapCut

License

MIT — see LICENSE

CapCut MCP Server

A professional Model Context Protocol (MCP) server for CapCut Pro video editing automation. This server enables AI assistants and applications to create and edit videos programmatically through CapCut’s powerful editing capabilities.

🎬 Features

• Complete Video Editing Suite: Create drafts, add videos, audio, text, images, effects, and more
• Professional Tools: 11 specialized tools for video production workflows
• Type-Safe: Built with TypeScript for reliability and excellent IDE support
• Flexible Transport: Supports both stdio (local) and HTTP (remote) connections
• Input Validation: Comprehensive Zod schemas with helpful error messages
• Dual Output Formats: JSON for machines, Markdown for humans

📋 Prerequisites

Before using this MCP server, you need to have the VectCutAPI (CapCut API server) running:

1. Install VectCutAPI:

   git clone https://github.com/sun-guannan/VectCutAPI.git
   cd VectCutAPI
   pip install -r requirements.txt
   

2. Start the API Server:

   python capcut_server.py
   

   The server will start on http://localhost:9001 by default.

🚀 Installation

Option 1: Install from npm (once published)

npm install -g capcut-mcp-server

Option 2: Build from Source

# Clone this repository
git clone 
cd capcut-mcp-server

# Install dependencies
npm install

# Build the project
npm run build

# Test the server
npm start

🔧 Configuration

For Claude Desktop

Add to your Claude Desktop config file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "capcut": {
      "command": "node",
      "args": ["/absolute/path/to/capcut-mcp-server/dist/index.js"],
      "env": {
        "CAPCUT_API_URL": "http://localhost:9001"
      }
    }
  }
}

For Other MCP Clients

The server supports two transport modes:

Stdio Mode (Default - Local Integration)

node dist/index.js

HTTP Mode (Remote Access)

TRANSPORT=http PORT=3000 node dist/index.js

🛠️ Available Tools

1. capcut_create_draft

Create a new video editing project with custom dimensions and frame rate.

Example:

{
  "width": 1920,
  "height": 1080,
  "fps": 30
}

2. capcut_add_video

Add video clips with transitions, speed control, and volume adjustments.

Example:

{
  "draft_id": "abc123",
  "video_url": "https://example.com/video.mp4",
  "start": 0,
  "end": 10,
  "volume": 0.8,
  "transition": "fade_in",
  "speed": 1.0
}

3. capcut_add_audio

Add background music or sound effects with fade in/out.

Example:

{
  "draft_id": "abc123",
  "audio_url": "https://example.com/music.mp3",
  "start": 0,
  "end": 30,
  "volume": 0.5,
  "fade_in": 2,
  "fade_out": 2
}

4. capcut_add_text

Add styled text overlays with animations, shadows, and backgrounds.

Example:

{
  "draft_id": "abc123",
  "text": "Welcome!",
  "start": 0,
  "end": 3,
  "font_size": 72,
  "font_color": "#FFFFFF",
  "background_color": "#000000",
  "shadow_enabled": true,
  "animation": "fade_in"
}

5. capcut_add_image

Add image overlays with positioning, scaling, and rotation.

Example:

{
  "draft_id": "abc123",
  "image_url": "https://example.com/logo.png",
  "start": 0,
  "end": 5,
  "position_x": 0.9,
  "position_y": 0.1,
  "scale": 0.3
}

6. capcut_add_subtitle

Import subtitles from SRT format with custom styling.

Example:

{
  "draft_id": "abc123",
  "srt_content": "1\n00:00:01,000 --> 00:00:03,000\nWelcome to my video",
  "font_size": 36,
  "font_color": "#FFFFFF",
  "background_enabled": true
}

7. capcut_add_keyframe

Create smooth animations using keyframe interpolation.

Example:

{
  "draft_id": "abc123",
  "track_name": "main",
  "property_types": ["scale_x", "scale_y"],
  "times": [0, 2, 4],
  "values": ["1.0", "1.5", "1.0"]
}

8. capcut_add_effect

Apply visual effects like blur, brightness, saturation, etc.

Example:

{
  "draft_id": "abc123",
  "effect_name": "blur",
  "start": 0,
  "end": 2,
  "intensity": 0.7
}

9. capcut_add_sticker

Add decorative stickers or emojis.

Example:

{
  "draft_id": "abc123",
  "sticker_url": "https://example.com/emoji.png",
  "start": 1,
  "end": 5,
  "position_x": 0.9,
  "position_y": 0.1,
  "scale": 0.2
}

10. capcut_save_draft

Save the draft to import into CapCut application.

Example:

{
  "draft_id": "abc123"
}

11. capcut_get_duration

Get duration and metadata of media files.

Example:

{
  "url": "https://example.com/video.mp4"
}

📖 Usage Examples

Complete Video Creation Workflow

// 1. Create a new draft
const draft = await capcut_create_draft({
  width: 1920,
  height: 1080,
  fps: 30
});

// 2. Add background video
await capcut_add_video({
  draft_id: draft.draft_id,
  video_url: "https://example.com/background.mp4",
  start: 0,
  end: 10,
  volume: 0.6
});

// 3. Add title text
await capcut_add_text({
  draft_id: draft.draft_id,
  text: "Amazing Video",
  start: 1,
  end: 4,
  font_size: 72,
  animation: "fade_in"
});

// 4. Add background music
await capcut_add_audio({
  draft_id: draft.draft_id,
  audio_url: "https://example.com/music.mp3",
  start: 0,
  end: 10,
  volume: 0.5
});

// 5. Add zoom animation
await capcut_add_keyframe({
  draft_id: draft.draft_id,
  track_name: "main",
  property_types: ["scale_x", "scale_y"],
  times: [0, 5, 10],
  values: ["1.0", "1.2", "1.0"]
});

// 6. Save the draft
const result = await capcut_save_draft({
  draft_id: draft.draft_id
});

console.log(`Draft saved to: ${result.draft_url}`);

🎯 Use Cases

• AI-Powered Video Generation: Let AI assistants create complete video projects
• Batch Video Production: Automate creation of multiple videos from templates
• Social Media Content: Generate TikTok, Reels, and YouTube Shorts automatically
• Educational Content: Create tutorial videos with synchronized text and audio
• Marketing Automation: Generate promotional videos at scale

🔍 Troubleshooting

Server Not Responding

• Ensure VectCutAPI server is running on port 9001
• Check CAPCUT_API_URL environment variable is correct
• Verify network connectivity to the API server

Build Errors

# Clean and rebuild
rm -rf dist node_modules package-lock.json
npm install
npm run build

Media Files Not Found

• Ensure all media URLs are accessible
• Use direct links to files (avoid redirects)
• Check file format is supported

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

📄 License

MIT License - feel free to use this in your projects!

🙏 Acknowledgments

• Built on top of VectCutAPI by sun-guannan
• Uses the Model Context Protocol specification
• Powered by Anthropic’s MCP SDK

📞 Support

For issues related to:

• This MCP Server: Open an issue in this repository
• VectCutAPI: Visit https://github.com/sun-guannan/VectCutAPI
• CapCut Application: Contact CapCut support

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Note: This is an unofficial MCP server for CapCut Pro. It requires the VectCutAPI backend to function. CapCut is a trademark of Bytedance Ltd.