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- mcp-ghibli-video
Mcp Ghibli Video
What is Mcp Ghibli Video
mcp-ghibli-video is an MCP Server built with TypeScript that enables AI-driven image and video generation through a user-friendly interface.
Use cases
Use cases include transforming static images into animated videos for storytelling, creating promotional content for businesses, and generating artistic videos in the style of Ghibli.
How to use
To use mcp-ghibli-video, you need to obtain an API key from GPT4O Image Generator. After installation, configure the server in your application and use the provided tools for image to video conversion and task management.
Key features
Key features include image to video conversion, points management to check remaining API credits, and task management to monitor the status of video generation tasks.
Where to use
mcp-ghibli-video can be utilized in various fields such as digital media production, animation, marketing, and any area requiring creative video content generation.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Ghibli Video
mcp-ghibli-video is an MCP Server built with TypeScript that enables AI-driven image and video generation through a user-friendly interface.
Use cases
Use cases include transforming static images into animated videos for storytelling, creating promotional content for businesses, and generating artistic videos in the style of Ghibli.
How to use
To use mcp-ghibli-video, you need to obtain an API key from GPT4O Image Generator. After installation, configure the server in your application and use the provided tools for image to video conversion and task management.
Key features
Key features include image to video conversion, points management to check remaining API credits, and task management to monitor the status of video generation tasks.
Where to use
mcp-ghibli-video can be utilized in various fields such as digital media production, animation, marketing, and any area requiring creative video content generation.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
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 URLapi_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”)
- Required parameters:
2. Points Management
get_points- Check remaining API credits- Required parameters:
api_key: Authentication key
- Required parameters:
3. Task Management
get_task_result- Check the status of a video generation task- Required parameters:
taskId: Task ID returned from image_to_videoapi_key: Authentication key
- Required parameters:
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"
}
}
}
}
Installing via Smithery
To install mcp-server-ghibli MCP Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @MichaelYangjson/mcp-ghibli-video --client claude
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.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










