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Ghibli Video MCP Server

Ghibli Video MCP Server

Public
MichaelYangjson/mcp-ghibli-video

TypeScript-based Model Context Protocol server offering AI-powered image-to-video conversion with customizable prompts, aspect ratios, and task management via GPT4O Image Generator API integration.

typescript
0 tools
May 30, 2025
Updated Jun 4, 2025

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mcp-server-ghibli MCP Server

A TypeScript-based MCP server that provides AI image and video generation capabilities through a simple interface.

Note: This server requires an API key from GPT4O Image Generator. Please visit the website to obtain your API key before using this service.

Features

Tools

1. Image to Video Conversion

  • image_to_video - Convert static images into animated videos
    • Required parameters:
      • image: Base64 encoded image or image URL
      • api_key: Authentication key
    • Optional parameters:
      • prompt: Text prompt to guide video generation (default: "in the style of ghibli")
      • aspect_ratio: Output video aspect ratio (default: "9:16")
      • negative_prompt: Negative prompt to guide generation (default: "bad prompt")

2. Points Management

  • get_points - Check remaining API credits
    • Required parameters:
      • api_key: Authentication key

3. Task Management

  • get_task_result - Check the status of a video generation task
    • Required parameters:
      • taskId: Task ID returned from image_to_video
      • api_key: Authentication key

Development

Install dependencies:

npm install

Build the server:

npm run build

For development with auto-rebuild:

npm run watch

Installation

To use with Claude Desktop, add the server config:

On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json On Windows: %APPDATA%/Claude/claude_desktop_config.json

{ "mcpServers": { "mcp-server-ghibli-video": { "command": "npx", "args": ["-y", "@openmcprouter/mcp-server-ghibli-video"], "env": { "Ghibli_API_URL": "https://www.gpt4oimg.com" } } } }

Debugging

Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector, which is available as a package script:

npm run inspector

The Inspector will provide a URL to access debugging tools in your browser.

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