Generate one or more images from a text prompt using a cloud AI model. Every image is saved to disk and its absolute path is returned, along with a small inline preview. Use edit_image instead when starting from an existing image.

Edit or transform existing image(s) with a text instruction — restyle, add or remove elements, change background, or combine several images into one scene. The result is saved to disk and its absolute path is returned, along with a small inline preview.

Generate a video from a text prompt (async job: starts generation, then waits and polls). Video generation typically takes 1-5 minutes. The finished file is saved to disk and its absolute path is returned. If waiting times out, a polling_url is returned — pass it to check_video_status later instead of starting a new (billed) job.

Check a previously started video generation job (from generate_video's polling_url or video id). If the job has completed, downloads the video, saves it to disk, and returns the absolute path.

List image- and video-capable model slugs available on the configured endpoint, with pricing where known. Use this to pick a model value for generate_image, edit_image, or generate_video.

Diagnose the mediamcp server setup: endpoint, API key presence and validity, default models, and output directory writability. Run this first when any other mediamcp tool fails.