ai-video-pipeline-mcp 0.1.0

AI Video Pipeline MCP Server

AI Video Pipeline MCP Server

A powerful Model Context Protocol (MCP) server that orchestrates an AI video production pipeline. This server provides tools for script generation, scene planning, image prompting, and video composition.

Features

• Script Generation: Generate complete, cinematic video scripts from a topic.
• Scene Planning: Convert timestamped transcripts into structured visual scene plans.
• Image Prompting: Turn scene descriptions into polished AI image prompts (optimized for Whisk/Midjourney).
• Video Composition: Generate Python scripts to assemble images and audio into a final cinematic video.

Setup

1. Clone the repository:

   git clone https://github.com/your-username/ai-video-pipeline-mcp.git
   cd ai-video-pipeline-mcp
   

2. Install dependencies: Using uv (recommended):

   uv sync
   

   Or using pip:

   pip install .
   

3. Configure Environment Variables: Create a .env file in the root directory:

   GEMINI_API_KEY=your_gemini_api_key_here
   

Usage with Claude Desktop

Add the following to your claude_desktop_config.json:

{
  "mcpServers": {
    "ai-video-pipeline": {
      "command": "uv",
      "args": [
        "--directory",
        "C:/Proj/DD/mcp_deployment",
        "run",
        "ai-video-mcp"
      ]
    }
  }
}

(Adjust the path to match your local installation.)

Tools

• generate_script: Create a narration script.
• plan_scenes: Create a storyboard from a transcript.
• generate_image_prompt: Create prompts for AI images.
• generate_video_compositor: Create the final assembly script.

License

MIT