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Generate images and videos with many models via the Gwanggo API.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "gwanggo-mcp" yet — see the docs or source repo.
Please list the image and video models currently supported by gwanggo-mcp, and indicate which are for image generation and which are for video generation.
A list of available models, categorized by image or video generation.
Use a suitable image generation model to create a poster for a tech product launch: dark background, neon lighting, futuristic style, 16:9.
An image matching the prompt, along with related task or result details.
Please check the status of the video generation task submitted earlier and tell me the current remaining account credits.
The task progress or status, plus the current available credit balance.
Designers or marketers can use one interface to access multiple models for promotional visuals, posters, or concept art, reducing context switching across platforms.
Developers can integrate video generation, task checking, and balance lookup into agents or automated workflows to manage requests and execution status in one place.
When evaluating models like Seedream, Sora, or Veo, teams can first review the model list and then generate comparable outputs with similar prompts.
It is an MCP tool that lets AI agents generate images and videos through the Gwanggo API using 30+ models. It also provides model listing, task status checks, and credit balance lookup.
From the description, it works through the Gwanggo API, so you typically need an environment that can access that API. For exact keys, configuration, or runtime requirements, see the source repository.
Its key difference is access to 30+ image and video models through one API, plus task checking and balance lookup. For finer comparison, routing, or parameter differences, see the source repository.
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