Video Gen Mcp

Video Agent MCP Server

A comprehensive Model Context Protocol (MCP) server for AI-powered video creation. This server provides tools, resources, and prompts to guide AI agents through complete video production workflows.

Features

• Unified Interface: Single MCP server with all video creation capabilities
• Multi-Service Integration: Supports FAL AI services for image, video, audio, and speech generation
• Intelligent Workflows: Guided prompts that adapt to your project context
• Platform Optimization: Pre-configured settings for YouTube, TikTok, Instagram, and more
• Cost Tracking: Real-time cost estimation and tracking for all operations
• YouTube Integration: Direct upload to YouTube with OAuth2 authentication
• Modular Architecture: Clean separation of tools, resources, and prompts

Quick Start

Prerequisites

• Python 3.11+
• FFmpeg installed on your system
• FAL AI API key
• uv (Python package manager)

Installation with uv

1. Clone the repository:

git clone <repository-url>
cd video-gen-mcp-monolithic

2. Install uv (if not already installed):

# On macOS/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh

# On Windows
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

3. Set up the project with uv:

# uv will automatically:
# - Detect Python 3.11 from .python-version
# - Create a virtual environment
# - Install all dependencies from pyproject.toml
uv sync

# Or if you want to install from requirements.txt:
uv pip install -r requirements.txt

4. Set up environment variables:

# Create a .env file in the project root
cat > .env << EOF
FALAI_API_KEY=your-fal-api-key
# Optional: For YouTube search features
GOOGLE_API_KEY=your-google-api-key
EOF

Running the Server

# Run directly with uv (recommended)
uv run python main.py

# Or activate venv and run
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
python main.py

Configuring Claude Desktop

Add the following to your Claude Desktop configuration:

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

{
  "mcpServers": {
    "video-agent": {
      "command": "uv",
      "args": [
        "--directory",
        "/absolute/path/to/video-gen-mcp-monolithic",
        "run",
        "python",
        "main.py"
      ],
      "env": {
        "FALAI_API_KEY": "your-fal-api-key"
      }
    }
  }
}

Important: Replace /absolute/path/to/video-gen-mcp-monolithic with the actual path to your project directory.

Alternative: Using pyproject.toml script

Since we've defined a script entry point in pyproject.toml, you can also run:

# Install the package in development mode
uv pip install -e .

# Run using the script entry point
uv run video-agent-mcp

Usage Example

Once configured in Claude Desktop, you can start creating videos:

User: Create a 30-second TikTok video about climate change

Claude: I'll help you create a TikTok video about climate change. Let me start by 
creating a project and planning the scenes...

[Claude uses the video_creation_wizard prompt and various tools to create the video]

Available Tools

Project Management

• create_project - Initialize a new video project with smart defaults based on platform
• add_scene - Add scenes to your timeline with description and duration
• list_projects - View all projects with their current status

Content Generation

• generate_image_from_text - Create images from text prompts with style modifiers
• generate_image_from_image - Transform existing images with AI-powered editing
• generate_video_from_image - Animate still images with AI-generated motion (supports Kling 2.1 and Hailuo 02 models)
• generate_music - Create background music from text descriptions
• generate_speech - Generate voiceovers with multiple voice options

Generation Tools

Call generation tools sequentially for clear progress tracking and easier debugging.

Video Assembly

• download_assets - Download generated assets from FAL or other sources
• add_audio_track - Add audio tracks to video with volume control
• assemble_video - Combine scenes into final video with quality presets

Utility

• analyze_script - Analyze scripts for video production insights
• suggest_scenes - Generate scene suggestions based on project script
• upload_image_file - Upload local image files to FAL for use in generation tools
• get_server_info - Get information about the Video Agent server

Resources

The server provides dynamic resources for context awareness:

• project://current - Current project details
• project://{id}/timeline - Scene timeline
• project://{id}/costs - Cost breakdown
• platform://{name}/specs - Platform specifications

Prompts

Interactive prompts guide complex workflows:

• video_creation_wizard - Complete video creation workflow with platform optimization
• script_to_scenes - Convert scripts to scene plans with timing recommendations
• list_video_agent_capabilities - Comprehensive guide of all server capabilities
• cinematic_photography_guide - Professional cinematography techniques for AI visuals

Configuration

Environment variables:

• FALAI_API_KEY - Your FAL AI API key (required)
• VIDEO_AGENT_STORAGE - Storage directory (default: ./storage)
• DEFAULT_IMAGE_MODEL - Default image model (default: imagen4)
• DEFAULT_VIDEO_MODEL - Default video model (default: kling_2.1, options: hailuo_02)

Project Structure

video-agent-mcp/
├── src/mcp_server/
│   ├── config/      # Configuration and settings
│   ├── models/      # Data models
│   ├── tools/       # Tool implementations
│   ├── resources/   # Resource handlers
│   ├── prompts/     # Prompt templates
│   └── services/    # External service integrations
├── templates/       # Video templates
└── tests/          # Test suite

Development

Setting up Development Environment

# Clone and enter the project
git clone <repository-url>
cd video-gen-mcp-monolithic

# Install with development dependencies
uv sync --dev

# Or install dev dependencies separately
uv pip install -e ".[dev]"

# Run tests
uv run pytest

# Run linting
uv run ruff check .

# Format code
uv run ruff format .

Adding New Capabilities

1. New Tool: Create a file in src/mcp_server/tools/ and register in server.py
2. New Resource: Create handler in resources/ and register with decorator
3. New Prompt: Add to prompts/ for guided workflows

Troubleshooting uv

"No Python interpreter found"

# uv will use the Python version from .python-version (3.11)
# If you need a specific Python version:
uv python install 3.11
uv venv --python 3.11

"Permission denied" on macOS/Linux

# Ensure uv is in PATH
echo 'export PATH="$HOME/.local/bin:$PATH"' >> ~/.bashrc
source ~/.bashrc

"Module not found" errors

# Ensure you're using uv run or have activated the venv
uv run python main.py
# OR
source .venv/bin/activate
python main.py

Claude Desktop can't find the server

1. Use absolute paths in the configuration
2. Ensure FAL_API_KEY is set in the env section
3. Check Claude Desktop logs for errors
4. Test the server standalone first: uv run python main.py

YouTube Integration

For YouTube upload functionality, see YOUTUBE_SETUP.md for detailed OAuth2 setup instructions.

Environment Variables

Create a .env file in the project root:

# Required
FALAI_API_KEY=your-fal-api-key

# Optional
VIDEO_AGENT_STORAGE=/path/to/storage  # Default: ./storage
DEFAULT_IMAGE_MODEL=imagen4           # Options: imagen4, flux_pro, flux_kontext
DEFAULT_VIDEO_MODEL=kling_2.1         # Options: kling_2.1, hailuo_02
GOOGLE_API_KEY=your-google-api-key    # For YouTube search features

License

[License information]

Contributing

[Contributing guidelines]