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.
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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.
image_to_video
- Convert static images into animated videos
image
: Base64 encoded image or image URLapi_key
: Authentication keyprompt
: 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")get_points
- Check remaining API credits
api_key
: Authentication keyget_task_result
- Check the status of a video generation task
taskId
: Task ID returned from image_to_videoapi_key
: Authentication keyInstall dependencies:
npm install
Build the server:
npm run build
For development with auto-rebuild:
npm run watch
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" } } } }
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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