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 is an MCP server that brings 100+ AI media generation models into coding agents such as Claude Code, Cursor, and Gemini CLI, powered by the muapi.ai platform. It exposes 19 structured MCP tools covering image generation (Midjourney v7, Flux Kontext), video creation (Kling 3.0, Veo3), image-to-video, audio generation (Suno music, MMAudio), enhancement tools (upscaling, background removal, face swap), and account management. Developers building AI pipelines or agent workflows that need to produce or transform visual and audio media can call these tools directly from natural language without managing individual model APIs.

Prerequisites

  • Node.js 18+ (for npm installation) or Python 3.8+ (for pip installation)
  • An active muapi.ai account with API credits (sign up at https://muapi.ai/dashboard)
  • MUAPI_API_KEY environment variable or configured via muapi auth
  • An MCP-compatible client: Claude Code, Cursor, Gemini CLI, or OpenCode
1

Install the muapi-cli package

Install the CLI that powers the Generative Media Skills MCP server. Both npm and pip versions are available.

# Using npm:
npm install -g muapi-cli

# Using pip:
pip install muapi-cli
2

Authenticate with your muapi.ai API key

Configure your API key either through the CLI auth command or by setting the MUAPI_API_KEY environment variable. Get your key from https://muapi.ai/dashboard.

muapi auth configure --api-key "YOUR_MUAPI_KEY"
# Or set as environment variable:
export MUAPI_API_KEY=your_key_here
3

Verify the installation

Confirm the CLI is installed and your credentials work by checking your account balance.

muapi account balance
4

Start the MCP server

Launch the MCP server which exposes all 19 media generation tools to your AI client.

muapi mcp serve
5

Configure your MCP client

Add the Generative Media Skills server to your MCP client configuration. The server communicates via stdio.

Generative Media Skills Examples

Client configuration

Add this configuration to Claude Desktop or your preferred MCP client to enable Generative Media Skills. The MUAPI_API_KEY must be set.

{
  "mcpServers": {
    "generative-media-skills": {
      "command": "muapi",
      "args": ["mcp", "serve"],
      "env": {
        "MUAPI_API_KEY": "your_muapi_api_key_here"
      }
    }
  }
}

Prompts to try

Use these prompts in Claude Code or Cursor to generate media via the MCP tools.

- "Generate a photorealistic image of a cyberpunk city at night using Flux Kontext"
- "Create a 5-second video of a dog running on a beach using Kling 3.0"
- "Remove the background from this product photo and save the result"
- "Generate a 30-second lo-fi music track using Suno"
- "Upscale this image to 4K resolution"

Troubleshooting Generative Media Skills

Authentication error: API key invalid or not found

Ensure MUAPI_API_KEY is set in the env block of your MCP config or run muapi auth configure --api-key YOUR_KEY again. Keys are found at https://muapi.ai/dashboard under API Keys.

Generation fails with insufficient credits

Check your balance with muapi account balance. Top up credits from the muapi.ai dashboard. Each model has different per-generation costs listed in the model catalog.

muapi command not found after npm install -g

The global npm bin directory may not be on your PATH. Run npm bin -g to find the directory and add it to PATH, or use npx muapi-cli mcp serve as the command in your MCP config.

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.

Browse More Coding Agents MCP Servers

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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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