Creatify MCP Server

What does “Creatify” MCP Server do?

The Creatify MCP Server is an enterprise-grade Model Context Protocol (MCP) server designed to enhance AI development workflows by enabling seamless integration with Creatify AI’s robust video generation capabilities. It acts as a bridge between AI assistants and external media generation APIs, offering advanced services such as avatar-based video creation, URL-to-video conversion, AI-generated video shorts, script generation, and sophisticated lip-sync with emotion control. By exposing these functionalities through a standardized protocol, Creatify MCP empowers developers to automate multimedia content creation, manage assets, and execute complex video tasks directly from AI or LLM-powered applications, streamlining both experimentation and production workflows.

List of Prompts

No information about prompt templates is available in the provided repository.

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List of Resources

No explicit list of MCP resources is provided in the available documentation or repository files.

List of Tools

• Avatar Video Generation: Create AI-generated videos featuring avatars for a variety of use cases.
• URL to Video: Generate videos automatically from a provided URL, extracting relevant content.
• AI Shorts: Produce short-form videos using AI, useful for social media and marketing.
• Custom Avatars: Design and use custom avatars in your video outputs.
• Script Generation: Automatically generate scripts for use in AI video productions.
• Advanced Lip-Sync with Emotion Control: Synchronize avatars’ lip movements with audio and control expressed emotions.
• API Coverage: Access all Creatify AI video generation APIs through the MCP server.
• Total of 12 tools are mentioned, but only these types are detailed in the available materials.

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Use Cases of this MCP Server

• Automated Marketing Video Production: Developers can quickly generate branded avatar videos for campaigns, reducing manual production time and costs.
• Educational Content Creation: Easily create engaging, personalized video lessons using custom avatars and scripts, making e-learning more dynamic.
• Social Media Shorts: Instantly produce AI-powered video shorts optimized for platforms like TikTok or Instagram, streamlining content pipelines.
• Enterprise Communication: Automate the creation of internal communication videos, ensuring consistency in messaging and branding.
• Dynamic Multimedia Experiences: Integrate with chatbots or LLMs to offer real-time, on-demand video generation based on conversational context.

How to set it up

Windsurf

1. Ensure Node.js and npm are installed.
2. Locate your Windsurf configuration file.
3. Add the Creatify MCP Server to the mcpServers object:

   {
     "mcpServers": {
       "creatify-mcp": {
         "command": "npx",
         "args": ["@tsavo/creatify-mcp@latest"]
       }
     }
   }
   

4. Save the file and restart Windsurf.
5. Verify the Creatify MCP Server is available in the MCP dashboard.

Claude

1. Install Node.js if not already installed.
2. Open Claude’s configuration file.
3. Add the following MCP server entry:

   {
     "mcpServers": {
       "creatify-mcp": {
         "command": "npx",
         "args": ["@tsavo/creatify-mcp@latest"]
       }
     }
   }
   

4. Save the configuration and restart Claude.
5. Check for Creatify MCP Server connectivity.

Cursor

1. Make sure you have Node.js and npm.
2. Open Cursor’s settings or configuration file.
3. Insert the Creatify MCP Server details as shown:

   {
     "mcpServers": {
       "creatify-mcp": {
         "command": "npx",
         "args": ["@tsavo/creatify-mcp@latest"]
       }
     }
   }
   

4. Restart Cursor to apply changes.
5. Confirm MCP server appears in tool integrations.

Cline

1. Install Node.js and npm.
2. Navigate to Cline’s configuration location.
3. Add this snippet for the MCP server:

   {
     "mcpServers": {
       "creatify-mcp": {
         "command": "npx",
         "args": ["@tsavo/creatify-mcp@latest"]
       }
     }
   }
   

4. Save and restart Cline.
5. Test the setup by issuing a video generation command.

Securing API Keys with Environment Variables To secure your API keys, use environment variables in your configuration:

{
  "mcpServers": {
    "creatify-mcp": {
      "command": "npx",
      "args": ["@tsavo/creatify-mcp@latest"],
      "env": {
        "CREATIFY_API_KEY": "YOUR_API_KEY"
      },
      "inputs": {
        "apiKey": "${CREATIFY_API_KEY}"
      }
    }
  }
}

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "creatify-mcp": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “creatify-mcp” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Our opinion

Creatify MCP Server offers strong video-generation capabilities and well-documented setup for various platforms. However, it lacks transparency regarding prompt templates and resource exposure, and does not clarify sampling or roots support. Tooling is its main strength. Overall, for teams focused on multimedia AI automation, it’s a solid starting point but would benefit from more thorough documentation.

MCP Score