Ghibli Video MCP Server
Provides installation support for the MCP server on macOS, with specific paths for configuration files to enable the Ghibli video generation capabilities.
Built as a TypeScript-based MCP server that offers AI image and video generation capabilities with a focus on Ghibli-style animations.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Ghibli Video MCP Server animate this landscape image in Ghibli style"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-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 videosRequired 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")
2. Points Management
get_points- Check remaining API creditsRequired parameters:
api_key: Authentication key
3. Task Management
get_task_result- Check the status of a video generation taskRequired parameters:
taskId: Task ID returned from image_to_videoapi_key: Authentication key
Related MCP server: HeyBeauty MCP Server
Development
Install dependencies:
npm installBuild the server:
npm run buildFor development with auto-rebuild:
npm run watchInstallation
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 claudeDebugging
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 inspectorThe Inspector will provide a URL to access debugging tools in your browser.
Available Tools
3 toolsget_pointsC
Get remaining points
Inputs: api_key (required).
get_task_resultC
Get task result
Inputs: taskId (required), api_key (required).
image_to_videoC
Convert image to animated video
Inputs: image (required), api_key (required), prompt, aspect_ratio, +1 more.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose with no overlap: get_points retrieves points, get_task_result fetches task results, and image_to_video handles video conversion. An agent can easily differentiate them based on their specific functions.
The tools follow a consistent verb_noun pattern (get_points, get_task_result, image_to_video), with minor deviations in verb usage (get vs. image_to). The naming is readable and mostly predictable, though not perfectly uniform.
With only 3 tools, the set feels thin for a video server's apparent scope, lacking operations like video management, task creation, or point usage. This minimal count may limit agent workflows and indicate incomplete coverage.
There are significant gaps in the tool surface for a video server domain: no tools for creating tasks, managing videos, or using points, and core operations like video playback or editing are missing. This will likely cause agent failures in handling typical video-related workflows.
Maintenance
Related MCP Connectors
Make animated videos by asking Claude, Cursor or any MCP client. Your AI writes it, we render it.
Generate images and video from Claude with one API key.
Stivio MCP server - AI image-to-video generator via MCP.
Turn Claude into a creative studio: DNA-locked characters, images, video, voiceover — 55 tools.
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