Generative Media Skills

v1.0.0Coding Agentsstable

Multi-modal Generative Media Skills for AI Agents (Claude Code, Cursor, Gemini CLI). High-quality image, video, and audio generation powered by muapi.ai.

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What is Generative Media Skills?

Generative Media Skills is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to multi-modal generative media skills for ai agents (claude code, cursor, gemini cli). high-quality image, video, and audio generation powered by muapi.ai.

Multi-modal Generative Media Skills for AI Agents (Claude Code, Cursor, Gemini CLI). High-quality image, video, and audio generation powered by muapi.ai.

This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Multi-modal Generative Media Skills for AI Agents (Claude Co

Use Cases

Generate high-quality images, videos, and audio with AI.
Integrate multi-modal generative AI into your agents.
SamurAIGPT

Maintainer

LicenseMIT
Languageshell
Versionv1.0.0
UpdatedMay 22, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx generative-media-skills

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use Generative Media Skills

Generative Media Skills provides multi-modal generative AI capabilities (images, videos, audio) for AI agents including Claude Code, Cursor, and Gemini CLI, powered by muapi.ai. It enables agents to create high-quality media content directly from Claude conversations, supporting advanced models like Flux for image generation and Kling for video.

Prerequisites

  • Node.js 18+ installed
  • An MCP client such as Claude Code, Cursor, or Gemini CLI
  • muapi.ai API key for media generation (obtain from muapi.ai website)
  • Sufficient API credits for media generation services
1

Install Generative Media Skills

Install using npx to enable multi-modal media generation capabilities.

2

Obtain muapi.ai API Key

Sign up at muapi.ai and create an API key. This key enables access to Flux, Kling, and other generative models.

3

Configure Environment

Set the muapi.ai API key as an environment variable. Check the repository README for the exact variable name (likely MUAPI_KEY or similar).

4

Add to Your MCP Client

Register Generative Media Skills in your MCP client configuration (Claude Desktop, Cursor, etc.) to enable media generation tools.

5

Test Media Generation

Ask Claude to generate an image, video, or audio. The skill will send the request to muapi.ai and return the generated media.

6

Monitor API Usage and Credits

Keep track of your muapi.ai credits. Different media types (images, videos, audio) consume different amounts. Consider setting usage limits based on your budget.

Generative Media Skills Examples

Claude Desktop Configuration

Configure Generative Media Skills in mcpServers.

{
  "mcpServers": {
    "generative-media-skills": {
      "command": "npx",
      "args": ["generative-media-skills"],
      "env": {
        "MUAPI_KEY": "your-api-key-here"
      }
    }
  }
}

Prompts to Try

Use Generative Media Skills to create content.

"Generate a professional product image for an e-commerce listing using Flux"
"Create a short promotional video using Kling for my social media"
"Generate a background music track for my project with the audio generation skill"
"Create a series of banner images with different styles and themes"

Troubleshooting Generative Media Skills

API key validation failing or authentication errors

Verify the API key is correctly set in the environment variable. Check that your muapi.ai account is active and has sufficient credits. Ensure the key is not expired or revoked.

Media generation timing out or failing

Check your muapi.ai account credit balance. Verify the generation parameters (image size, video length, etc.) are within acceptable limits. Check network connectivity and muapi.ai service status.

Generated media quality not meeting expectations

Refine your prompts to be more specific and detailed. Try different model options (Flux for images, Kling for videos) to compare results. Adjust generation parameters like resolution and style guidance.

Frequently Asked Questions about Generative Media Skills

What is Generative Media Skills?

Generative Media Skills is a Model Context Protocol (MCP) server that multi-modal generative media skills for ai agents (claude code, cursor, gemini cli). high-quality image, video, and audio generation powered by muapi.ai. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Generative Media Skills?

Follow the installation instructions on the Generative Media Skills GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with Generative Media Skills?

Generative Media Skills works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is Generative Media Skills free to use?

Yes, Generative Media Skills is open source and available under the MIT license. You can use it freely in both personal and commercial projects.

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Quick Config Preview

{ "mcpServers": { "generative-media-skills": { "command": "npx", "args": ["-y", "generative-media-skills"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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