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Built with โค๏ธ by Krishna Goyal

    Creatify Mcp

    ๐ŸŽฌ Enterprise-grade MCP Server for Creatify AI - 12 tools for AI video generation: avatar videos, URL-to-video, AI shorts, custom avatars, script generation, advanced lip-sync with emotion control. Complete API coverage with semantic versioning.

    12 stars
    TypeScript
    Updated Oct 14, 2025

    Table of Contents

    • ๐ŸŒŸ Overview
    • ๐ŸŽจ Advanced MCP Features:
    • ๐ŸŽฏ What This Enables
    • ๐Ÿ—๏ธ Built With
    • Features
    • ๐Ÿ› ๏ธ MCP Tools (12 powerful actions)
    • ๐Ÿ“š MCP Resources (6 data sources)
    • ๐Ÿ† Why Choose Creatify MCP Server?
    • ๐Ÿš€ Complete API Coverage
    • ๐Ÿค– AI-First Design
    • ๐ŸŽจ Advanced Features
    • ๐Ÿ’ผ Production Ready
    • ๐Ÿ“ MCP Prompts (5 workflow templates)
    • Prerequisites
    • Installation
    • From npm (recommended)
    • From source
    • ๐ŸŽฌ Live Demo Examples
    • Create an AI Avatar Video
    • Generate TikTok-Style Short Video
    • Convert Website to Video
    • AI-Powered Script Generation
    • Configuration
    • Usage
    • With Claude Desktop
    • ๐ŸŽจ Advanced MCP Features
    • ๐Ÿ“ Using Prompts (Workflow Templates)
    • ๐Ÿ“Š Real-time Logging & Progress
    • ๐Ÿค– AI Self-Help System
    • With Custom MCP Client
    • Standalone Server
    • Example Prompts for AI Assistants
    • API Reference
    • Tools
    • create_avatar_video
    • create_url_to_video
    • generate_text_to_speech
    • get_video_status
    • Resources
    • creatify://avatars
    • creatify://voices
    • creatify://templates
    • creatify://credits
    • Development
    • Contributing
    • License
    • Related Projects
    • ๐Ÿ“š Comprehensive Documentation
    • ๐ŸŽฌ Video Tutorials
    • ๐Ÿ“– API Reference
    • ๐Ÿ”ง Advanced Configuration
    • Environment Variables
    • Claude Desktop Advanced Configuration
    • ๐Ÿš€ Performance Optimization
    • Batch Operations
    • Caching Strategies
    • ๐Ÿ” Security Best Practices
    • ๐Ÿ› Troubleshooting
    • Common Issues
    • Debug Mode
    • ๐Ÿ“Š Monitoring & Analytics
    • Usage Tracking
    • Performance Metrics
    • ๐Ÿค Contributing
    • ๐Ÿ› ๏ธ Development Setup
    • ๐Ÿงช Testing
    • ๐Ÿ“ Code Style
    • ๐Ÿ”„ Pull Request Process
    • ๐Ÿ“„ License
    • ๐Ÿ™ Acknowledgments
    • ๐Ÿ“ž Support

    Table of Contents

    • ๐ŸŒŸ Overview
    • ๐ŸŽจ Advanced MCP Features:
    • ๐ŸŽฏ What This Enables
    • ๐Ÿ—๏ธ Built With
    • Features
    • ๐Ÿ› ๏ธ MCP Tools (12 powerful actions)
    • ๐Ÿ“š MCP Resources (6 data sources)
    • ๐Ÿ† Why Choose Creatify MCP Server?
    • ๐Ÿš€ Complete API Coverage
    • ๐Ÿค– AI-First Design
    • ๐ŸŽจ Advanced Features
    • ๐Ÿ’ผ Production Ready
    • ๐Ÿ“ MCP Prompts (5 workflow templates)
    • Prerequisites
    • Installation
    • From npm (recommended)
    • From source
    • ๐ŸŽฌ Live Demo Examples
    • Create an AI Avatar Video
    • Generate TikTok-Style Short Video
    • Convert Website to Video
    • AI-Powered Script Generation
    • Configuration
    • Usage
    • With Claude Desktop
    • ๐ŸŽจ Advanced MCP Features
    • ๐Ÿ“ Using Prompts (Workflow Templates)
    • ๐Ÿ“Š Real-time Logging & Progress
    • ๐Ÿค– AI Self-Help System
    • With Custom MCP Client
    • Standalone Server
    • Example Prompts for AI Assistants
    • API Reference
    • Tools
    • create_avatar_video
    • create_url_to_video
    • generate_text_to_speech
    • get_video_status
    • Resources
    • creatify://avatars
    • creatify://voices
    • creatify://templates
    • creatify://credits
    • Development
    • Contributing
    • License
    • Related Projects
    • ๐Ÿ“š Comprehensive Documentation
    • ๐ŸŽฌ Video Tutorials
    • ๐Ÿ“– API Reference
    • ๐Ÿ”ง Advanced Configuration
    • Environment Variables
    • Claude Desktop Advanced Configuration
    • ๐Ÿš€ Performance Optimization
    • Batch Operations
    • Caching Strategies
    • ๐Ÿ” Security Best Practices
    • ๐Ÿ› Troubleshooting
    • Common Issues
    • Debug Mode
    • ๐Ÿ“Š Monitoring & Analytics
    • Usage Tracking
    • Performance Metrics
    • ๐Ÿค Contributing
    • ๐Ÿ› ๏ธ Development Setup
    • ๐Ÿงช Testing
    • ๐Ÿ“ Code Style
    • ๐Ÿ”„ Pull Request Process
    • ๐Ÿ“„ License
    • ๐Ÿ™ Acknowledgments
    • ๐Ÿ“ž Support

    Documentation

    ๐ŸŽฌ Creatify MCP Server

    npm version

    npm downloads

    CI

    TypeScript

    Node.js

    MCP

    Creatify AI

    License: MIT

    GitHub stars

    GitHub issues

    Semantic Release

    The ultimate MCP server for AI video generation - Bringing Creatify AI's powerful video creation capabilities to every AI assistant in the MCP ecosystem.

    ๐ŸŒŸ Overview

    The Creatify MCP Server is a comprehensive Model Context Protocol (MCP) server that exposes the full power of Creatify AI's video generation platform to AI assistants, chatbots, and automation tools. Built on top of the robust [@tsavo/creatify-api-ts](https://www.npmjs.com/package/@tsavo/creatify-api-ts) TypeScript client library, this server transforms complex video creation workflows into simple, natural language interactions.

    ๐ŸŽจ Advanced MCP Features:

    • ๐Ÿ“ Prompts - Reusable video creation templates and workflows
    • ๐Ÿ“Š Logging - Structured logging with multiple severity levels
    • ๐Ÿ” Progress Tracking - Real-time updates during video generation
    • ๐Ÿค– AI Self-Help - how_to_use tool for AI assistants to understand parameters
    • ๐Ÿ“Š Notifications - Real-time status updates and progress notifications

    ๐ŸŽฏ What This Enables

    Imagine telling Claude Desktop: *"Create a 16:9 avatar video of Anna saying 'Welcome to our product demo' and wait for it to complete"* - and having it actually happen. That's the power of this MCP server.

    ๐Ÿ—๏ธ Built With

    • **Creatify AI API** - The world's leading AI video generation platform
    • **@tsavo/creatify-api-ts** - Comprehensive TypeScript client library
    • **Model Context Protocol** - Standardized AI assistant integration
    • TypeScript - Full type safety and excellent developer experience

    Features

    ๐Ÿ› ๏ธ MCP Tools (12 powerful actions)

    • **create_avatar_video** - Create AI avatar videos with lip-sync
    • **create_url_to_video** - Convert websites into professional videos
    • **generate_text_to_speech** - Generate natural-sounding speech from text
    • **create_multi_avatar_conversation** - Create videos with multiple avatars having conversations
    • **create_custom_template_video** - Generate videos using custom templates
    • **create_ai_edited_video** - Automatically edit and enhance videos
    • **create_ai_shorts** - Create short-form videos (perfect for TikTok, Instagram Reels)
    • **generate_ai_script** - Generate AI-powered scripts for videos
    • **create_custom_avatar** - Design and create your own custom avatars (DYOA)
    • **manage_music** - Upload, manage, and use background music
    • **create_advanced_lipsync** - Advanced lip-sync with emotion and gesture control
    • **how_to_use** - Get detailed usage information for any tool
    • **get_video_status** - Check the status of video generation tasks

    ๐Ÿ“š MCP Resources (6 data sources)

    • **creatify://avatars** - List of available AI avatars
    • **creatify://voices** - List of available voices for text-to-speech
    • **creatify://templates** - Available custom video templates
    • **creatify://music** - Available background music library
    • **creatify://credits** - Remaining API credits
    • **creatify://avatar/{avatarId}** - Detailed information about specific avatars

    ๐Ÿ† Why Choose Creatify MCP Server?

    ๐Ÿš€ Complete API Coverage

    • โœ… 12 MCP Tools covering 100% of Creatify API functionality
    • โœ… 6 MCP Resources for comprehensive data access
    • โœ… 5 Workflow Prompts for common video creation scenarios
    • โœ… Enterprise-grade logging with 8 severity levels

    ๐Ÿค– AI-First Design

    • โœ… Self-documenting with how_to_use tool for AI assistants
    • โœ… Intelligent parameter validation and error handling
    • โœ… Real-time progress updates during video generation
    • โœ… Semantic versioning with automated releases

    ๐ŸŽจ Advanced Features

    • โœ… Emotion & gesture control in advanced lip-sync
    • โœ… Custom avatar creation (DYOA - Design Your Own Avatar)
    • โœ… AI-powered script generation for any video type
    • โœ… Short-form video optimization for TikTok/Instagram/YouTube
    • โœ… Background music management and integration

    ๐Ÿ’ผ Production Ready

    • โœ… TypeScript for type safety and better IDE support
    • โœ… Comprehensive error handling with detailed context
    • โœ… Professional logging for monitoring and debugging
    • โœ… Automated testing and continuous integration
    • โœ… Semantic versioning for reliable updates

    ๐Ÿ“ MCP Prompts (5 workflow templates)

    • **create-product-demo** - Professional product demonstration workflow
    • **create-social-content** - Engaging social media content creation
    • **create-educational-video** - Educational and tutorial video workflow
    • **create-marketing-campaign** - Marketing campaign video creation
    • **analyze-video-performance** - Video performance analysis and optimization

    Prerequisites

    • Node.js 18 or higher
    • Creatify API credentials (Pro plan or higher)
    • Get your API credentials from Creatify account settings

    Installation

    From npm (recommended)

    bash
    npm install -g @tsavo/creatify-mcp

    From source

    bash
    git clone https://github.com/TSavo/creatify-mcp.git
    cd creatify-mcp
    npm install
    npm run build
    npm link

    ๐ŸŽฌ Live Demo Examples

    Create an AI Avatar Video

    code
    User: "Create a professional avatar video with Anna saying 'Welcome to our company!' in 16:9 format"
    
    Claude: I'll create a professional avatar video for you using the Creatify MCP Server.
    
    [Uses create_avatar_video tool with:
    - text: "Welcome to our company!"
    - avatarId: "anna_costume1_cameraA"
    - aspectRatio: "16:9"
    - voiceId: "en-US-AriaNeural"]
    
    Your professional avatar video has been created! Anna delivers your message with natural lip-sync and professional presentation.

    Generate TikTok-Style Short Video

    code
    User: "Make a 30-second TikTok video about coffee brewing tips"
    
    Claude: I'll create an engaging short-form video perfect for TikTok!
    
    [Uses create_ai_shorts tool with:
    - prompt: "Quick coffee brewing tips with energetic presentation"
    - aspectRatio: "9:16"
    - duration: 30
    - style: "energetic"]
    
    Your TikTok-ready short video is being generated with optimal 9:16 aspect ratio and engaging content!

    Convert Website to Video

    code
    User: "Turn my product landing page into a marketing video"
    
    Claude: I'll convert your website into a compelling marketing video.
    
    [Uses create_url_to_video tool with:
    - url: "https://yourproduct.com"
    - aspectRatio: "16:9"
    - style: "marketing"]
    
    Your landing page has been transformed into a professional marketing video showcasing your product!

    AI-Powered Script Generation

    code
    User: "Generate a script for a 60-second product demo video"
    
    Claude: I'll create a compelling script for your product demo.
    
    [Uses generate_ai_script tool with:
    - topic: "Product demonstration video"
    - scriptType: "commercial"
    - duration: 60
    - tone: "professional"]
    
    Your script is ready! It includes engaging hooks, clear value propositions, and a strong call-to-action optimized for 60-second format.

    Configuration

    Set your Creatify API credentials as environment variables:

    bash
    export CREATIFY_API_ID="your-api-id"
    export CREATIFY_API_KEY="your-api-key"

    Or create a .env file:

    env
    CREATIFY_API_ID=your-api-id
    CREATIFY_API_KEY=your-api-key

    Usage

    With Claude Desktop

    Add to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

    json
    {
      "mcpServers": {
        "creatify": {
          "command": "creatify-mcp",
          "env": {
            "CREATIFY_API_ID": "your-api-id",
            "CREATIFY_API_KEY": "your-api-key"
          }
        }
      }
    }

    ๐ŸŽจ Advanced MCP Features

    ๐Ÿ“ Using Prompts (Workflow Templates)

    AI assistants can now use predefined workflow templates for common video creation scenarios:

    Example: Product Demo Workflow

    code
    User: "Use the create-product-demo prompt for 'Amazing Widget' with features 'fast, reliable, easy to use' targeting small business owners"
    
    Claude: I'll use the product demo workflow template to create a professional demonstration video.
    
    [Claude automatically follows the complete workflow:
    1. Generates an engaging script using generate_ai_script
    2. Creates avatar video using create_avatar_video
    3. Optimizes for the target audience
    4. Includes clear call-to-action]

    Available Prompt Templates:

    • create-product-demo - Professional product demonstrations
    • create-social-content - TikTok/Instagram/YouTube content
    • create-educational-video - Tutorials and educational content
    • create-marketing-campaign - Marketing and promotional videos
    • analyze-video-performance - Video optimization and analysis

    ๐Ÿ“Š Real-time Logging & Progress

    The server provides structured logging with multiple severity levels:

    code
    [INFO] Creatify MCP Server initialized
    [INFO] Creating avatar video {avatarId: "anna_costume1_cameraA", aspectRatio: "16:9"}
    [INFO] Waiting for avatar video completion...
    [INFO] Avatar video completed {videoId: "video_abc123"}

    Log Levels: debug, info, notice, warning, error, critical, alert, emergency

    ๐Ÿค– AI Self-Help System

    AI assistants can now understand tool parameters better using the how_to_use tool:

    code
    Claude: Let me check how to use the avatar video tool...
    
    [Calls how_to_use tool with toolName: "create_avatar_video"]
    
    [Gets comprehensive documentation with:
    - Required parameters with descriptions
    - Optional parameters with usage notes
    - Real code examples
    - Tips and best practices]
    
    Now I understand exactly how to create your avatar video!

    With Custom MCP Client

    typescript
    import { Client } from "@modelcontextprotocol/sdk/client/index.js";
    import { StdioClientTransport } from "@modelcontextprotocol/sdk/client/stdio.js";
    
    const transport = new StdioClientTransport({
      command: "creatify-mcp",
      env: {
        CREATIFY_API_ID: "your-api-id",
        CREATIFY_API_KEY: "your-api-key"
      }
    });
    
    const client = new Client({
      name: "my-client",
      version: "1.0.0"
    });
    
    await client.connect(transport);
    
    // List available tools
    const tools = await client.listTools();
    console.log("Available tools:", tools.tools.map(t => t.name));
    
    // Create an avatar video
    const result = await client.callTool({
      name: "create_avatar_video",
      arguments: {
        text: "Hello, world! This is an AI-generated video.",
        avatarId: "anna_costume1_cameraA",
        aspectRatio: "16:9",
        waitForCompletion: true
      }
    });

    Standalone Server

    bash
    # Set environment variables
    export CREATIFY_API_ID="your-api-id"
    export CREATIFY_API_KEY="your-api-key"
    
    # Run the server
    creatify-mcp

    Example Prompts for AI Assistants

    Once configured with Claude Desktop or another MCP client, you can use natural language prompts like:

    • *"Create a 16:9 avatar video of Anna saying 'Welcome to our product demo' and wait for it to complete"*
    • *"Convert the website https://example.com into a promotional video"*
    • *"Generate text-to-speech audio for 'Hello world' using a professional voice"*
    • *"Show me all available avatars and their details"*
    • *"Check my remaining Creatify credits"*
    • *"Create a conversation between two avatars discussing our new product"*

    API Reference

    Tools

    create_avatar_video

    Create an AI avatar video with lip-synced speech.

    Parameters:

    • text (string, required) - Text to be spoken
    • avatarId (string, required) - Avatar ID to use
    • aspectRatio ("16:9" | "9:16" | "1:1", required) - Video aspect ratio
    • voiceId (string, optional) - Voice ID for the avatar
    • waitForCompletion (boolean, optional) - Wait for video completion

    create_url_to_video

    Convert a website URL into a professional video.

    Parameters:

    • url (string, required) - URL to convert
    • visualStyle (string, optional) - Visual style template
    • scriptStyle (string, optional) - Script writing style
    • aspectRatio ("16:9" | "9:16" | "1:1", optional) - Video aspect ratio
    • waitForCompletion (boolean, optional) - Wait for video completion

    generate_text_to_speech

    Generate natural-sounding speech from text.

    Parameters:

    • text (string, required) - Text to convert to speech
    • voiceId (string, required) - Voice ID to use
    • waitForCompletion (boolean, optional) - Wait for audio completion

    get_video_status

    Check the status of a video generation task.

    Parameters:

    • videoId (string, required) - Video/task ID to check
    • videoType (string, required) - Type of task ("lipsync", "url-to-video", etc.)

    Resources

    creatify://avatars

    Returns a JSON list of all available AI avatars with their IDs, names, and metadata.

    creatify://voices

    Returns a JSON list of all available voices for text-to-speech generation.

    creatify://templates

    Returns a JSON list of available custom video templates.

    creatify://credits

    Returns current account credit balance and usage information.

    Development

    bash
    # Install dependencies
    npm install
    
    # Build the project
    npm run build
    
    # Run in development mode with auto-reload
    npm run dev
    
    # Run tests
    npm test
    
    # Lint and format code
    npm run check

    Contributing

    1. Fork the repository

    2. Create a feature branch (git checkout -b feature/amazing-feature)

    3. Commit your changes (git commit -m 'Add amazing feature')

    4. Push to the branch (git push origin feature/amazing-feature)

    5. Open a Pull Request

    License

    MIT License - see LICENSE file for details.

    Related Projects

    • [@tsavo/creatify-api-ts](https://github.com/TSavo/creatify-api-ts) - TypeScript client for Creatify API
    • Model Context Protocol - Protocol specification
    • Creatify AI - AI video generation platform

    ๐Ÿ“š Comprehensive Documentation

    ๐ŸŽฌ Video Tutorials

    *Coming soon - comprehensive video tutorials showing real-world usage scenarios*

    ๐Ÿ“– API Reference

    For detailed API documentation, see:

    • **Creatify API Documentation** - Official Creatify API docs
    • **@tsavo/creatify-api-ts Documentation** - TypeScript client library docs
    • **Model Context Protocol Specification** - MCP protocol details

    ๐Ÿ”ง Advanced Configuration

    Environment Variables

    VariableRequiredDescriptionExample
    CREATIFY_API_IDโœ…Your Creatify API IDyour-api-id-here
    CREATIFY_API_KEYโœ…Your Creatify API Keyyour-api-key-here
    MCP_LOG_LEVELโŒLogging leveldebug, info, warn, error

    Claude Desktop Advanced Configuration

    json
    {
      "mcpServers": {
        "creatify": {
          "command": "creatify-mcp",
          "env": {
            "CREATIFY_API_ID": "your-api-id",
            "CREATIFY_API_KEY": "your-api-key",
            "MCP_LOG_LEVEL": "info"
          },
          "args": ["--verbose"]
        }
      }
    }

    ๐Ÿš€ Performance Optimization

    Batch Operations

    For multiple video creations, consider using the batch processing capabilities:

    typescript
    // Example: Create multiple videos efficiently
    const videos = await Promise.all([
      client.callTool({
        name: "create_avatar_video",
        arguments: { text: "Video 1", avatarId: "anna", aspectRatio: "16:9" }
      }),
      client.callTool({
        name: "create_avatar_video",
        arguments: { text: "Video 2", avatarId: "john", aspectRatio: "16:9" }
      })
    ]);

    Caching Strategies

    • Avatar/Voice Lists: Cache for 1 hour (they rarely change)
    • Video Status: Poll every 5-10 seconds for active tasks
    • Templates: Cache for 24 hours

    ๐Ÿ” Security Best Practices

    1. Never commit API keys to version control

    2. Use environment variables for all sensitive data

    3. Rotate API keys regularly

    4. Monitor API usage to detect unauthorized access

    5. Use HTTPS for all webhook URLs

    ๐Ÿ› Troubleshooting

    Common Issues

    "API credentials not found"

    bash
    # Solution: Set environment variables
    export CREATIFY_API_ID="your-api-id"
    export CREATIFY_API_KEY="your-api-key"

    "Video creation failed"

    • Check your Creatify account credits
    • Verify avatar/voice IDs exist
    • Ensure text is not empty
    • Check aspect ratio is valid

    "MCP connection failed"

    • Verify the server is running
    • Check Claude Desktop configuration
    • Ensure Node.js version >= 18

    Debug Mode

    bash
    # Run with debug logging
    MCP_LOG_LEVEL=debug creatify-mcp

    ๐Ÿ“Š Monitoring & Analytics

    Usage Tracking

    Monitor your Creatify API usage:

    typescript
    // Check remaining credits
    const credits = await client.readResource({ uri: "creatify://credits" });
    console.log(`Remaining credits: ${JSON.parse(credits.contents[0].text).remaining_credits}`);

    Performance Metrics

    • Video Creation Time: Typically 2-5 minutes
    • API Response Time: Usually < 2 seconds
    • Success Rate: Monitor failed requests

    ๐Ÿค Contributing

    We welcome contributions! Here's how to get started:

    ๐Ÿ› ๏ธ Development Setup

    bash
    # Clone the repository
    git clone https://github.com/TSavo/creatify-mcp.git
    cd creatify-mcp
    
    # Install dependencies
    npm install
    
    # Set up environment variables
    cp .env.example .env
    # Edit .env with your API credentials
    
    # Run tests
    npm test
    
    # Build the project
    npm run build
    
    # Run in development mode
    npm run dev

    ๐Ÿงช Testing

    bash
    # Run all tests
    npm test
    
    # Run tests in watch mode
    npm run test:watch
    
    # Run type checking
    npm run type-check
    
    # Run linting
    npm run lint

    ๐Ÿ“ Code Style

    We use:

    • ESLint for code linting
    • Prettier for code formatting
    • TypeScript for type safety
    • Conventional Commits for commit messages

    ๐Ÿ”„ Pull Request Process

    1. Fork the repository

    2. Create a feature branch (git checkout -b feature/amazing-feature)

    3. Make your changes

    4. Add tests for new functionality

    5. Ensure all tests pass (npm test)

    6. Run linting (npm run lint:fix)

    7. Commit your changes (git commit -m 'feat: add amazing feature')

    8. Push to the branch (git push origin feature/amazing-feature)

    9. Open a Pull Request

    ๐Ÿ“„ License

    This project is licensed under the MIT License - see the LICENSE file for details.

    ๐Ÿ™ Acknowledgments

    • **Creatify AI** - For providing the amazing AI video generation platform
    • **@tsavo/creatify-api-ts** - The robust TypeScript client library that powers this server
    • **Anthropic** - For Claude and the Model Context Protocol
    • **MCP Community** - For the standardized protocol that makes this integration possible

    ๐Ÿ“ž Support

    • ๐Ÿ“– **Creatify API Documentation** - Official API docs
    • ๐Ÿ› **Report Issues** - Bug reports and feature requests
    • ๐Ÿ’ฌ **MCP Community** - Community discussions
    • ๐Ÿ“ง **Contact Author** - Direct support

    ---

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