what is Ghibli Mcp Video Server?
Ghibli Mcp Video Server is a TypeScript-based server that provides AI image and video generation capabilities through a simple interface, allowing users to convert images into animated videos.
how to use Ghibli Mcp Video Server?
To use the server, you need to obtain an API key from the GPT4O Image Generator. After setting up the server, you can use various tools to convert images to videos and manage tasks.
key features of Ghibli Mcp Video Server?
- Image to video conversion with customizable prompts and aspect ratios.
- Points management to check remaining API credits.
- Task management to check the status of video generation tasks.
use cases of Ghibli Mcp Video Server?
- Creating animated videos from static images for presentations.
- Generating creative video content for social media.
- Developing applications that require dynamic video generation from user-uploaded images.
FAQ from Ghibli Mcp Video Server?
- Do I need an API key to use the server?
Yes, an API key from GPT4O Image Generator is required to use the server.
- How do I install the server?
You can install the server by running
npm install
and then build it usingnpm run build
.
- What platforms does the server support?
The server can be configured to work with Claude Desktop on both MacOS and Windows.
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"
}
}
}
}
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.