About Ghibli Mcp Video Server
Ghibli Mcp Video Server is a TypeScript MCP server for AI image-to-video generation. Its tools also check API credits and retrieve generation task status; an API key is required.
Key features
- 01Convert images into videos
- 02Guide generation with prompts
- 03Set video aspect ratio
- 04Check remaining API credits
- 05Retrieve task status
Use cases
- 01Animating a still image
- 02Checking available API credits
- 03Tracking a video generation task
MCP support
Exposes image-to-video generation and related credit and task-status tools to MCP clients.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
3Saved tool list · updated 3w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| image | string | Yes | Base64 encoded source image or image URL |
| prompt | string | No | Optional prompt for video generation |
| aspect_ratio | string | No | Aspect ratio of the output video (e.g. '9:16') |
| negative_prompt | string | No | Negative prompt to guide generation |
| api_key | string | Yes | API key for authentication |
Details
From the project READMEmcp-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.
Comments
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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.