Ghibli Mcp Video Server

Name: Ghibli Mcp Video Server
Author: MichaelYangjson

@MichaelYangjson

代码仓库

关于 Ghibli Mcp Video Server

暂无概览

#ghibli #mcp-server #video-generation

基本信息

分类

媒体与设计

许可证

MIT

运行时

node

传输方式

stdio

发布者

MichaelYangjson

提交者

Albert Yang

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Ghibli Mcp Video Server?

A TypeScript-based MCP server that provides AI image and video generation capabilities through a simple interface. It requires an API key from GPT4O Image Generator.

How to use Ghibli Mcp Video Server?

Install via npm and configure in Claude Desktop's config file. Use tools image_to_video, get_points, and get_task_result with the required api_key parameter and optional parameters as needed.

Key features of Ghibli Mcp Video Server

Convert static images into animated videos
Check remaining API credits with get_points
Retrieve task status for video generation
Supports optional prompt and aspect ratio customization
Default Ghibli style video generation
Simple tool-based interface for MCP

Use cases of Ghibli Mcp Video Server

Generate animated videos from static images in Ghibli style
Monitor API credit usage for budgeting
Check the progress of a video generation task
Integrate video generation into AI assistants like Claude

FAQ from Ghibli Mcp Video Server

What is required to use this server?

An API key from GPT4O Image Generator (https://www.gpt4oimg.com/) is required.

What tools are provided?

Three tools: image_to_video (convert image to video), get_points (check credits), and get_task_result (check task status).

How do I install for Claude Desktop?

Add the server configuration to your Claude Desktop config file (MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json, Windows: %APPDATA%/Claude/claude_desktop_config.json) with command npx -y @openmcprouter/mcp-server-ghibli-video and environment variable Ghibli_API_URL.