by michaelyangjson
Turn static images into stunning Ghibli-style animations with this AI video generator. Monitor tasks and credit balance
Converts static images into animated Ghibli-style videos using AI. Monitor generation tasks and check API credits through a simple interface.
Ghibli Video Generator is a community-built MCP server published by michaelyangjson that provides AI assistants with tools and capabilities via the Model Context Protocol. Turn static images into stunning Ghibli-style animations with this AI video generator. Monitor tasks and credit balance It is categorized under other, ai ml.
You can install Ghibli Video Generator in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Ghibli Video Generator is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
We wired Ghibli Video Generator into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
We evaluated Ghibli Video Generator against two servers with overlapping tools; this profile had the clearer scope statement.
Strong directory entry: Ghibli Video Generator surfaces stars and publisher context so we could sanity-check maintenance before adopting.
According to our notes, Ghibli Video Generator benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We evaluated Ghibli Video Generator against two servers with overlapping tools; this profile had the clearer scope statement.
According to our notes, Ghibli Video Generator benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Useful MCP listing: Ghibli Video Generator is the kind of server we cite when onboarding engineers to host + tool permissions.
We wired Ghibli Video Generator into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Ghibli Video Generator reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Ghibli Video Generator is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
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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"
}
}
}
}
To install mcp-server-ghibli MCP Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @MichaelYangjson/mcp-ghibli-video --client claude
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.
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.