Ghibli Video MCP Server

# mcp-server-ghibli MCP Server [](https://smithery.ai/server/@MichaelYangjson/mcp-ghibli-video) 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](https://www.gpt4oimg.com/). 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 URL - `api_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") #### 2. Points Management - `get_points` - Check remaining API credits - Required parameters: - `api_key`: Authentication key #### 3. Task Management - `get_task_result` - Check the status of a video generation task - Required parameters: - `taskId`: Task ID returned from image_to_video - `api_key`: Authentication key ## Development Install dependencies: ```bash npm install ``` Build the server: ```bash npm run build ``` For development with auto-rebuild: ```bash 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` ```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](https://smithery.ai/server/@MichaelYangjson/mcp-ghibli-video): ```bash 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](https://github.com/modelcontextprotocol/inspector), which is available as a package script: ```bash npm run inspector ``` The Inspector will provide a URL to access debugging tools in your browser.