Independent Video Generator
Click on "Install 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., "@Independent Video GeneratorWhat video workflows do you have?"
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.
Independent Video Generator
This is a standalone video generation frontend and backend extracted from the main project. It only keeps the ComfyUI video workflow and does not include Agent conversations or image generation.
Startup
Copy
.env.exampleto.envand verify the ComfyUI and FFPROBE paths.Install dependencies:
npm installDevelopment mode:
npm run devProduction build:
npm run buildProduction start:
npm run start
Default URL: http://127.0.0.1:8834
Windows users can simply double-click start.bat; it will automatically switch to the current folder, create .env, install dependencies, and start the service.
Related MCP server: RunComfy MCP Server
Video API
GET /api/video/workflowsPOST /api/video/jobsGET /api/video/jobs/:jobIdDELETE /api/video/jobs/:jobId
MCP Minimal Version
Start the video API first, then run npm run mcp. The MCP server uses stdio transport and calls the existing video API through MCP_API_URL (default http://127.0.0.1:8834).
Provided tools:
list_video_workflowscreate_video_jobupload_video_assetget_video_joblist_video_jobsget_video_resultcancel_video_job
Remote frontend and GPU host
Keep the frontend and MCP on the portable control side, and keep Backend, ComfyUI, models, and GPU on the same GPU host. Build the frontend with:
VITE_BACKEND_URL=http://GPU_HOST:8834Configure the GPU host Backend with:
HOST=0.0.0.0
PORT=8834
COMFYUI_URL=http://127.0.0.1:8188
CORS_ORIGIN=http://FRONTEND_HOSTConfigure MCP with:
MCP_API_URL=http://GPU_HOST:8834The browser and MCP call only the Video Generator API; ComfyUI remains private on the GPU host. API key authentication is not enabled yet, so HOST=0.0.0.0 should only be used on a trusted LAN or VPN.
Currently, images and audio are still transmitted as data URLs, which is suitable for a local MVP but not for large or multi-user deployments.
Video workflow assets are located in workflow/. This project currently shares the same ComfyUI service as the main project, but the code, frontend pages, job API, and workflow JSON are independent.
This server cannot be installed
Maintenance
Resources
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Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- AlicenseAqualityDmaintenanceEnables comprehensive ComfyUI workflow automation including image generation, workflow management, node discovery, and system monitoring through natural language interactions with local or remote ComfyUI servers.3114MIT
- FlicenseNot gradedqualityDmaintenanceEnables generation of AI videos and images using RunComfy APIs. Supports multiple models for text-to-video, image-to-video, text-to-image, and image-to-image workflows with customizable parameters like aspect ratio, duration, and seed.
- AlicenseNot gradedqualityDmaintenanceDynamically loads ComfyUI workflows as MCP tools, enabling AI assistants to generate images, videos, and audio by executing workflows across categories like text-to-image, image-to-video, and text-to-audio with automatic parameter mapping and progress monitoring.123,4783MIT
- AlicenseNot gradedqualityDmaintenanceEnables discovery of ComfyUI nodes and building/managing workflows with real-time execution via WebSocket. Provides 50+ tools for node discovery, workflow building, template usage, model management, and batch/chain execution.2142MIT
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