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@tsavo/creatify-mcp - npm

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

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 TypeScript client library, this server transforms complex video creation workflows into simple, natural language interactions.

🎨 Advanced MCP Features:

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.

🛠️ MCP Tools (12 powerful actions) 📚 MCP Resources (6 data sources) 🏆 Why Choose Creatify MCP Server? 🚀 Complete API Coverage 📝 MCP Prompts (5 workflow templates) 
npm install -g @tsavo/creatify-mcp
git clone https://github.com/TSavo/creatify-mcp.git
cd creatify-mcp
npm install
npm run build
npm link
Create an AI Avatar Video 
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 
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!

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 
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.

Set your Creatify API credentials as environment variables:

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

Or create a .env file:

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

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

{
  "mcpServers": {
    "creatify": {
      "command": "creatify-mcp",
      "env": {
        "CREATIFY_API_ID": "your-api-id",
        "CREATIFY_API_KEY": "your-api-key"
      }
    }
  }
}
🎨 Advanced MCP Features 📝 Using Prompts (Workflow Templates)

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

Example: Product Demo Workflow

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:

📊 Real-time Logging & Progress

The server provides structured logging with multiple severity levels:

[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

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

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!

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
  }
});
# 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 an AI avatar video with lip-synced speech.

Parameters:

Convert a website URL into a professional video.

Parameters:

Generate natural-sounding speech from text.

Parameters:

Check the status of a video generation task.

Parameters:

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

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

Returns a JSON list of available custom video templates.

Returns current account credit balance and usage information.

# 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
  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

MIT License - see LICENSE file for details.

📚 Comprehensive Documentation

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

For detailed API documentation, see:

🔧 Advanced Configuration Variable Required Description Example CREATIFY_API_ID ✅ Your Creatify API ID your-api-id-here CREATIFY_API_KEY ✅ Your Creatify API Key your-api-key-here MCP_LOG_LEVEL ❌ Logging level debug, info, warn, error Claude Desktop Advanced Configuration 
{
  "mcpServers": {
    "creatify": {
      "command": "creatify-mcp",
      "env": {
        "CREATIFY_API_ID": "your-api-id",
        "CREATIFY_API_KEY": "your-api-key",
        "MCP_LOG_LEVEL": "info"
      },
      "args": ["--verbose"]
    }
  }
}
🚀 Performance Optimization

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

// 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" }
  })
]);
🔐 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

"API credentials not found"

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

"Video creation failed"

"MCP connection failed"

# Run with debug logging
MCP_LOG_LEVEL=debug creatify-mcp
📊 Monitoring & Analytics

Monitor your Creatify API usage:

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

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

🛠️ Development Setup 
# 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
# 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

We use:

🔄 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

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

Created with ❤️ by T Savo

🌐 Horizon City - Ushering in the AI revolution and hastening the extinction of humans

Making AI video generation accessible to every developer and AI assistant - one step closer to human obsolescence

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