MCP Servers

Magic Hour MCP Server

Enables AI-powered media manipulation including face swapping for videos and photos, lip syncing, and face detection via the Magic Hour AI platform. It provides tools for uploading files, managing video projects, and processing content from both local files and YouTube URLs.

README

Magic Hour MCP Server

MCP server for Magic Hour AI — face swap videos, face swap photos, lip sync, face detection, and file management.

Tools

Tool	Description
`face_swap_video`	Swap a face onto a video (file/URL source)
`face_swap_video_youtube`	Swap a face onto a YouTube video
`face_swap_video_individual`	Swap specific faces using face detection IDs
`face_swap_photo`	Swap a face onto a photo
`detect_faces`	Detect faces in an image or video
`get_face_detection_result`	Get detected face IDs and URLs
`lip_sync`	Sync lip movements to an audio track
`upload_file`	Upload a file to Magic Hour storage
`get_video_project_status`	Check video project status and get download URLs
`get_image_project_status`	Check image project status and get download URLs
`delete_video_project`	Delete a video project
`delete_image_project`	Delete an image project

Setup

Get an API key from magichour.ai/settings/developer
Install dependencies:

npm install

Build:

npm run build

Claude Desktop Configuration

Add to ~/.claude/claude_desktop_config.json:

{
  "mcpServers": {
    "magic-hour": {
      "command": "node",
      "args": ["/path/to/magic-hour-mcp/dist/index.js"],
      "env": {
        "MAGIC_HOUR_API_KEY": "mhk_live_your_key_here"
      }
    }
  }
}

Claude Code Configuration

Add to ~/.claude/settings.json:

{
  "mcpServers": {
    "magic-hour": {
      "command": "node",
      "args": ["/path/to/magic-hour-mcp/dist/index.js"],
      "env": {
        "MAGIC_HOUR_API_KEY": "mhk_live_your_key_here"
      }
    }
  }
}

Usage Example

Face swap a dance video:
1. Upload your face image: upload_file → get file_path
2. Start face swap: face_swap_video with video URL + face file_path
3. Poll status: get_video_project_status until "complete"
4. Download from the returned URL

Individual face swap:
1. Detect faces: detect_faces on the source video
2. Get results: get_face_detection_result to see all faces
3. Swap specific faces: face_swap_video_individual with face mappings

License

MIT

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