Magic Hour
Create and edit images, videos, and audio through Magic Hour's hosted Streamable HTTP MCP server.
- 0.1.0
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- remote
- Transport
- 44
- Tools
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Tools (44)
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wait_for_video_project
Poll a video project until it completes, errors, is canceled, or times out. Returns sanitized download fields. Use `exact_download_urls[n]` or `downloads[n].url` exactly as returned; do not shorten it, remove query parameters, or append expiration metadata.
wait_for_image_project
Poll an image project until it completes, errors, is canceled, or times out. Returns the final project JSON and, when complete, attempts to inline image downloads for Inspector or compatible clients. Returns sanitized download fields. Use `exact_download_urls[n]` or `downloads[n].url` exactly as returned; do not shorten it, remove query parameters, or append expiration metadata.
wait_for_audio_project
Poll an audio project until it completes, errors, is canceled, or times out. Returns the final project JSON and, when complete, attempts to inline audio downloads for Inspector or compatible clients. Returns sanitized download fields. Use `exact_download_urls[n]` or `downloads[n].url` exactly as returned; do not shorten it, remove query parameters, or append expiration metadata.
fetch_image_download
Fetch a image `downloads[n].url` from a completed image project and return it as inline MCP image content for compatible clients. Pass the exact full signed URL from `downloads[n].url` without trimming query parameters; `expires_at` is separate metadata, not part of the URL.
fetch_audio_download
Fetch a audio `downloads[n].url` from a completed audio project and return it as inline MCP audio content for compatible clients. Pass the exact full signed URL from `downloads[n].url` without trimming query parameters; `expires_at` is separate metadata, not part of the URL.
fetch_video_download
Fetch a video `downloads[n].url` from a completed video project and return it as an embedded MCP binary resource for compatible clients. Pass the exact full signed URL from `downloads[n].url` without trimming query parameters; `expires_at` is separate metadata, not part of the URL.
account_retrieve
Get the current credit balance and subscription details of the account that owns the API key.
saved_items_list
Returns active saved items owned by the authenticated account, newest first. Each item includes every saved asset with a durable file_path for reuse in compatible generation APIs and a temporary signed URL for previewing or downloading. Filter by type to find characters, references, voices, moodboards, or brand kits. To fetch the next page, pass the response's next_cursor as cursor.
video_assets_generate_presigned_url
Generates a list of pre-signed upload URLs for the assets required. This API is only necessary if you want to upload to Magic Hour's storage. Refer to the [Input Files Guide](https://docs.magichour.ai/integration/inputs-and-outputs) for more details. The response array will match the order of items in the request body. **Valid file extensions per asset type**: - video: mp4, m4v, mov, webm - audio: mp3, wav, aac, flac, webm, weba, m4a, opus, ogg, oga, aiff, amr - image: png, jpg, jpeg, jfif, heic, heif, webp, avif, jp2, tiff, tif, bmp - gif: gif, webp, webm > Note: `gif` is only supported for face swap API `video_file_path` field. Once you receive an upload URL, send a `PUT` request to upload the file directly. Example: ``` curl -X PUT --data '@/path/to/file/video.mp4' \ https://videos.magichour.ai/api-assets/id/video.mp4?<auth params from the API response> ``` MCP guidance: - This only creates presigned upload URLs. For local files, upload the raw bytes to each returned `uploa
face_detection_retrieve_details
Get the details of a face detection task. Use this API to get the list of faces detected in the image or video to use in the [face swap photo](https://docs.magichour.ai/api-reference/image-projects/face-swap-photo) or [face swap video](https://docs.magichour.ai/api-reference/video-projects/face-swap-video) API calls for multi-face swaps.
face_detection_detect_faces
Detect faces in an image or video. Use this API to get the list of faces detected in the image or video to use in the [face swap photo](https://docs.magichour.ai/api-reference/image-projects/face-swap-photo) or [face swap video](https://docs.magichour.ai/api-reference/video-projects/face-swap-video) API calls for multi-face swaps. Note: Face detection is free to use for the near future. Pricing may change in the future. MCP guidance: - This starts an async face-detection task and returns an `id`. Use the face-detection details endpoint with that id to retrieve detected faces before doing individual face swaps. - For `*_file_path` values, prefer an existing Magic Hour file path or a `file_path` returned by the upload-URL endpoint after the file bytes are uploaded. Direct public media URLs may work when they are stable, fetchable, and return raw file bytes, but hotlinked URLs can fail; when in doubt, use the presigned upload flow first and pass the returned `file_path`.
video_projects_retrieve_details
Check the progress of a video project. The `downloads` field is populated after a successful render. **Statuses** - `queued` — waiting to start - `rendering` — in progress - `complete` — ready; see `downloads` - `error` — a failure occurred (see `error`) - `canceled` — user canceled - `draft` — not used MCP guidance: - Use this after a create tool to poll job status. When status is `complete`, surface the `downloads` URLs to the user; if status is `error`, surface the error message. - Each `downloads[n].url` is already the full signed download URL. Use it exactly as returned. Do not shorten it, strip query parameters, or append `expires_at` onto the URL string.
video_projects_delete
Permanently delete the rendered video. This action is not reversible, please be sure before deleting.
ai_talking_photo_create_talking_photo
Create a talking photo video from an image and an audio file. MCP guidance: - This starts an async video generation job and returns `id` plus `credits_charged` immediately. If the user wants the finished result, call the `wait_for_video_project` helper with the returned id, or poll the matching `GET /v1/video-projects/{id}` endpoint until status is `complete`, `error`, or `canceled`. Completed projects include `downloads` with direct URLs. The custom wait helper also returns `exact_download_urls` separately from expiration metadata. - For `*_file_path` values, prefer an existing Magic Hour file path or a `file_path` returned by the upload-URL endpoint after the file bytes are uploaded. Direct public media URLs may work when they are stable, fetchable, and return raw file bytes, but hotlinked URLs can fail; when in doubt, use the presigned upload flow first and pass the returned `file_path`. Use only with the user's own likeness or content they are authorized to use. Do not use for im
ai_video_editor_create_video
**What this API does** Create the same Video Editor you can make in the browser, but programmatically, so you can automate it, run it at scale, or connect it to your own app or workflow. **Good for** - Automation and batch processing - Adding video editor into apps, pipelines, or tools **How it works (3 steps)** 1) Upload your inputs (video, image, or audio) with [Generate Upload URLs](https://docs.magichour.ai/api-reference/files/generate-asset-upload-urls) and copy the `file_path`. 2) Send a request to create a video editor job with the basic fields. 3) Check the job status until it's `complete`, then download the result from `downloads`. **Key options** - Inputs: usually a file, sometimes a YouTube link, depending on project type - Resolution: free users are limited to 576px; higher plans unlock HD and larger sizes - Extra fields: e.g. `face_swap_mode`, `start_seconds`/`end_seconds`, or a text prompt **Cost** Credits are only charged for the frames that actu
ai_video_translator_create_video
**What this API does** Create the same Video Translator you can make in the browser, but programmatically, so you can automate it, run it at scale, or connect it to your own app or workflow. **Good for** - Automation and batch processing - Adding video translator into apps, pipelines, or tools **How it works (3 steps)** 1) Upload your inputs (video, image, or audio) with [Generate Upload URLs](https://docs.magichour.ai/api-reference/files/generate-asset-upload-urls) and copy the `file_path`. 2) Send a request to create a video translator job with the basic fields. 3) Check the job status until it's `complete`, then download the result from `downloads`. **Key options** - Inputs: usually a file, sometimes a YouTube link, depending on project type - Resolution: free users are limited to 576px; higher plans unlock HD and larger sizes - Extra fields: e.g. `face_swap_mode`, `start_seconds`/`end_seconds`, or a text prompt **Cost** Credits are only charged for the fram
animation_create_video
Create a Animation video. The estimated frame cost is calculated based on the `fps` and `end_seconds` input. MCP guidance: - This starts an async video generation job and returns `id` plus `credits_charged` immediately. If the user wants the finished result, call the `wait_for_video_project` helper with the returned id, or poll the matching `GET /v1/video-projects/{id}` endpoint until status is `complete`, `error`, or `canceled`. Completed projects include `downloads` with direct URLs. The custom wait helper also returns `exact_download_urls` separately from expiration metadata. - For `*_file_path` values, prefer an existing Magic Hour file path or a `file_path` returned by the upload-URL endpoint after the file bytes are uploaded. Direct public media URLs may work when they are stable, fetchable, and return raw file bytes, but hotlinked URLs can fail; when in doubt, use the presigned upload flow first and pass the returned `file_path`.
audio_to_video_create_video
**What this API does** Create the same Audio To Video you can make in the browser, but programmatically, so you can automate it, run it at scale, or connect it to your own app or workflow. **Good for** - Automation and batch processing - Adding audio to video into apps, pipelines, or tools **How it works (3 steps)** 1) Upload your inputs (video, image, or audio) with [Generate Upload URLs](https://docs.magichour.ai/api-reference/files/generate-asset-upload-urls) and copy the `file_path`. 2) Send a request to create a audio to video job with the basic fields. 3) Check the job status until it's `complete`, then download the result from `downloads`. **Key options** - Inputs: usually a file, sometimes a YouTube link, depending on project type - Resolution: free users are limited to 576px; higher plans unlock HD and larger sizes - Extra fields: e.g. `face_swap_mode`, `start_seconds`/`end_seconds`, or a text prompt **Cost** Credits are only charged for the frames tha
auto_subtitle_generator_create_video
Automatically generate subtitles for your video in multiple languages. MCP guidance: - This starts an async video generation job and returns `id` plus `credits_charged` immediately. If the user wants the finished result, call the `wait_for_video_project` helper with the returned id, or poll the matching `GET /v1/video-projects/{id}` endpoint until status is `complete`, `error`, or `canceled`. Completed projects include `downloads` with direct URLs. The custom wait helper also returns `exact_download_urls` separately from expiration metadata. - For `*_file_path` values, prefer an existing Magic Hour file path or a `file_path` returned by the upload-URL endpoint after the file bytes are uploaded. Direct public media URLs may work when they are stable, fetchable, and return raw file bytes, but hotlinked URLs can fail; when in doubt, use the presigned upload flow first and pass the returned `file_path`.
character_replace_create_video
**What this API does** Create the same Character Replace you can make in the browser, but programmatically, so you can automate it, run it at scale, or connect it to your own app or workflow. **Good for** - Automation and batch processing - Adding character replace into apps, pipelines, or tools **How it works (3 steps)** 1) Upload your inputs (video, image, or audio) with [Generate Upload URLs](https://docs.magichour.ai/api-reference/files/generate-asset-upload-urls) and copy the `file_path`. 2) Send a request to create a character replace job with the basic fields. 3) Check the job status until it's `complete`, then download the result from `downloads`. **Key options** - Inputs: usually a file, sometimes a YouTube link, depending on project type - Resolution: free users are limited to 576px; higher plans unlock HD and larger sizes - Extra fields: e.g. `face_swap_mode`, `start_seconds`/`end_seconds`, or a text prompt **Cost** Credits are only charged for the f
face_swap_create_video
**What this API does** Create the same Face Swap you can make in the browser, but programmatically, so you can automate it, run it at scale, or connect it to your own app or workflow. **Good for** - Automation and batch processing - Adding face swap into apps, pipelines, or tools **How it works (3 steps)** 1) Upload your inputs (video, image, or audio) with [Generate Upload URLs](https://docs.magichour.ai/api-reference/files/generate-asset-upload-urls) and copy the `file_path`. 2) Send a request to create a face swap job with the basic fields. 3) Check the job status until it's `complete`, then download the result from `downloads`. **Key options** - Inputs: usually a file, sometimes a YouTube link, depending on project type - Resolution: free users are limited to 576px; higher plans unlock HD and larger sizes - Extra fields: e.g. `face_swap_mode`, `start_seconds`/`end_seconds`, or a text prompt **Cost** Credits are only charged for the frames that actually rend
image_to_video_create_video
**What this API does** Create the same Image To Video you can make in the browser, but programmatically, so you can automate it, run it at scale, or connect it to your own app or workflow. **Good for** - Automation and batch processing - Adding image to video into apps, pipelines, or tools **How it works (3 steps)** 1) Upload your inputs (video, image, or audio) with [Generate Upload URLs](https://docs.magichour.ai/api-reference/files/generate-asset-upload-urls) and copy the `file_path`. 2) Send a request to create a image to video job with the basic fields. 3) Check the job status until it's `complete`, then download the result from `downloads`. **Key options** - Inputs: usually a file, sometimes a YouTube link, depending on project type - Resolution: free users are limited to 576px; higher plans unlock HD and larger sizes - Extra fields: e.g. `face_swap_mode`, `start_seconds`/`end_seconds`, or a text prompt **Cost** Credits are only charged for the frames tha
lip_sync_create_video
**What this API does** Create the same Lip Sync you can make in the browser, but programmatically, so you can automate it, run it at scale, or connect it to your own app or workflow. **Good for** - Automation and batch processing - Adding lip sync into apps, pipelines, or tools **How it works (3 steps)** 1) Upload your inputs (video, image, or audio) with [Generate Upload URLs](https://docs.magichour.ai/api-reference/files/generate-asset-upload-urls) and copy the `file_path`. 2) Send a request to create a lip sync job with the basic fields. 3) Check the job status until it's `complete`, then download the result from `downloads`. **Key options** - Inputs: usually a file, sometimes a YouTube link, depending on project type - Resolution: free users are limited to 576px; higher plans unlock HD and larger sizes - Extra fields: e.g. `face_swap_mode`, `start_seconds`/`end_seconds`, or a text prompt **Cost** Credits are only charged for the frames that actually render.
text_to_video_create_video
**What this API does** Create the same Text To Video you can make in the browser, but programmatically, so you can automate it, run it at scale, or connect it to your own app or workflow. **Good for** - Automation and batch processing - Adding text to video into apps, pipelines, or tools **How it works (3 steps)** 1) Upload your inputs (video, image, or audio) with [Generate Upload URLs](https://docs.magichour.ai/api-reference/files/generate-asset-upload-urls) and copy the `file_path`. 2) Send a request to create a text to video job with the basic fields. 3) Check the job status until it's `complete`, then download the result from `downloads`. **Key options** - Inputs: usually a file, sometimes a YouTube link, depending on project type - Resolution: free users are limited to 576px; higher plans unlock HD and larger sizes - Extra fields: e.g. `face_swap_mode`, `start_seconds`/`end_seconds`, or a text prompt **Cost** Credits are only charged for the frames that a
video_to_video_create_video
**What this API does** Create the same Video To Video you can make in the browser, but programmatically, so you can automate it, run it at scale, or connect it to your own app or workflow. **Good for** - Automation and batch processing - Adding video to video into apps, pipelines, or tools **How it works (3 steps)** 1) Upload your inputs (video, image, or audio) with [Generate Upload URLs](https://docs.magichour.ai/api-reference/files/generate-asset-upload-urls) and copy the `file_path`. 2) Send a request to create a video to video job with the basic fields. 3) Check the job status until it's `complete`, then download the result from `downloads`. **Key options** - Inputs: usually a file, sometimes a YouTube link, depending on project type - Resolution: free users are limited to 576px; higher plans unlock HD and larger sizes - Extra fields: e.g. `face_swap_mode`, `start_seconds`/`end_seconds`, or a text prompt **Cost** Credits are only charged for the frames tha
image_projects_retrieve_details
Check the progress of a image project. The `downloads` field is populated after a successful render. **Statuses** - `queued` — waiting to start - `rendering` — in progress - `complete` — ready; see `downloads` - `error` — a failure occurred (see `error`) - `canceled` — user canceled - `draft` — not used MCP guidance: - Use this after a create tool to poll job status. When status is `complete`, surface the `downloads` URLs to the user; if status is `error`, surface the error message. - Each `downloads[n].url` is already the full signed download URL. Use it exactly as returned. Do not shorten it, strip query parameters, or append `expires_at` onto the URL string.
image_projects_delete
Permanently delete the rendered image(s). This action is not reversible, please be sure before deleting.
ai_clothes_changer_create_image
Change outfits in photos in seconds with just a photo reference. Each photo costs 25 credits. MCP guidance: - This starts an async image generation job and returns `id` plus `credits_charged` immediately. If the user wants the finished result, call the `wait_for_image_project` helper with the returned id, or poll the matching `GET /v1/image-projects/{id}` endpoint until status is `complete`, `error`, or `canceled`. Completed projects include `downloads` with direct URLs. The custom wait helper also returns `exact_download_urls` separately from expiration metadata. - For `*_file_path` values, prefer an existing Magic Hour file path or a `file_path` returned by the upload-URL endpoint after the file bytes are uploaded. Direct public media URLs may work when they are stable, fetchable, and return raw file bytes, but hotlinked URLs can fail; when in doubt, use the presigned upload flow first and pass the returned `file_path`. Use only with the user's own likeness or content they are auth
ai_face_editor_edit_image
Edit facial features of an image using AI. Each edit costs 1 frame. The height/width of the output image depends on your subscription. Please refer to our [pricing](https://magichour.ai/pricing) page for more details MCP guidance: - This starts an async image generation job and returns `id` plus `credits_charged` immediately. If the user wants the finished result, call the `wait_for_image_project` helper with the returned id, or poll the matching `GET /v1/image-projects/{id}` endpoint until status is `complete`, `error`, or `canceled`. Completed projects include `downloads` with direct URLs. The custom wait helper also returns `exact_download_urls` separately from expiration metadata. - For `*_file_path` values, prefer an existing Magic Hour file path or a `file_path` returned by the upload-URL endpoint after the file bytes are uploaded. Direct public media URLs may work when they are stable, fetchable, and return raw file bytes, but hotlinked URLs can fail; when in doubt, use the pre
ai_gif_generator_create_image
Create an AI GIF. Each GIF costs 50 credits. MCP guidance: - This starts an async image generation job and returns `id` plus `credits_charged` immediately. If the user wants the finished result, call the `wait_for_image_project` helper with the returned id, or poll the matching `GET /v1/image-projects/{id}` endpoint until status is `complete`, `error`, or `canceled`. Completed projects include `downloads` with direct URLs. The custom wait helper also returns `exact_download_urls` separately from expiration metadata.
ai_image_editor_create_image
Edit images with AI. MCP guidance: - This starts an async image generation job and returns `id` plus `credits_charged` immediately. If the user wants the finished result, call the `wait_for_image_project` helper with the returned id, or poll the matching `GET /v1/image-projects/{id}` endpoint until status is `complete`, `error`, or `canceled`. Completed projects include `downloads` with direct URLs. The custom wait helper also returns `exact_download_urls` separately from expiration metadata. - For `*_file_path` values, prefer an existing Magic Hour file path or a `file_path` returned by the upload-URL endpoint after the file bytes are uploaded. Direct public media URLs may work when they are stable, fetchable, and return raw file bytes, but hotlinked URLs can fail; when in doubt, use the presigned upload flow first and pass the returned `file_path`.
ai_headshot_generator_create_image
Create an AI headshot. Each headshot costs 50 credits. MCP guidance: - This starts an async image generation job and returns `id` plus `credits_charged` immediately. If the user wants the finished result, call the `wait_for_image_project` helper with the returned id, or poll the matching `GET /v1/image-projects/{id}` endpoint until status is `complete`, `error`, or `canceled`. Completed projects include `downloads` with direct URLs. The custom wait helper also returns `exact_download_urls` separately from expiration metadata. - For `*_file_path` values, prefer an existing Magic Hour file path or a `file_path` returned by the upload-URL endpoint after the file bytes are uploaded. Direct public media URLs may work when they are stable, fetchable, and return raw file bytes, but hotlinked URLs can fail; when in doubt, use the presigned upload flow first and pass the returned `file_path`.
ai_image_generator_create_image
Create an AI image with advanced model selection and quality controls. MCP guidance: - This starts an async image generation job and returns `id` plus `credits_charged` immediately. If the user wants the finished result, call the `wait_for_image_project` helper with the returned id, or poll the matching `GET /v1/image-projects/{id}` endpoint until status is `complete`, `error`, or `canceled`. Completed projects include `downloads` with direct URLs. The custom wait helper also returns `exact_download_urls` separately from expiration metadata.
ai_image_upscaler_create_image
Upscale your image using AI. Each 2x upscale costs 50 credits for balanced/creative modes, and 25 credits for preserve. 4x upscale costs 200 and 100 credits respectively. MCP guidance: - This starts an async image generation job and returns `id` plus `credits_charged` immediately. If the user wants the finished result, call the `wait_for_image_project` helper with the returned id, or poll the matching `GET /v1/image-projects/{id}` endpoint until status is `complete`, `error`, or `canceled`. Completed projects include `downloads` with direct URLs. The custom wait helper also returns `exact_download_urls` separately from expiration metadata. - For `*_file_path` values, prefer an existing Magic Hour file path or a `file_path` returned by the upload-URL endpoint after the file bytes are uploaded. Direct public media URLs may work when they are stable, fetchable, and return raw file bytes, but hotlinked URLs can fail; when in doubt, use the presigned upload flow first and pass the returned
ai_meme_generator_create_image
Create an AI generated meme. Each meme costs 10 credits. MCP guidance: - This starts an async image generation job and returns `id` plus `credits_charged` immediately. If the user wants the finished result, call the `wait_for_image_project` helper with the returned id, or poll the matching `GET /v1/image-projects/{id}` endpoint until status is `complete`, `error`, or `canceled`. Completed projects include `downloads` with direct URLs. The custom wait helper also returns `exact_download_urls` separately from expiration metadata.
ai_qr_code_generator_create_image
Create an AI QR code. Each QR code costs 0 credits. MCP guidance: - This starts an async image generation job and returns `id` plus `credits_charged` immediately. If the user wants the finished result, call the `wait_for_image_project` helper with the returned id, or poll the matching `GET /v1/image-projects/{id}` endpoint until status is `complete`, `error`, or `canceled`. Completed projects include `downloads` with direct URLs. The custom wait helper also returns `exact_download_urls` separately from expiration metadata.
body_swap_create_image
Swap a person into a scene image using Nano Banana 2 Lite (640px/1k) or Nano Banana 2 (2k/4k). Credits depend on `resolution` (from 50 credits at 640px upward). MCP guidance: - This starts an async image generation job and returns `id` plus `credits_charged` immediately. If the user wants the finished result, call the `wait_for_image_project` helper with the returned id, or poll the matching `GET /v1/image-projects/{id}` endpoint until status is `complete`, `error`, or `canceled`. Completed projects include `downloads` with direct URLs. The custom wait helper also returns `exact_download_urls` separately from expiration metadata. - For `*_file_path` values, prefer an existing Magic Hour file path or a `file_path` returned by the upload-URL endpoint after the file bytes are uploaded. Direct public media URLs may work when they are stable, fetchable, and return raw file bytes, but hotlinked URLs can fail; when in doubt, use the presigned upload flow first and pass the returned `file_pat
face_swap_photo_create_image
Create a face swap photo. Each photo costs 10 credits. The height/width of the output image depends on your subscription. Please refer to our [pricing](https://magichour.ai/pricing) page for more details MCP guidance: - This starts an async image generation job and returns `id` plus `credits_charged` immediately. If the user wants the finished result, call the `wait_for_image_project` helper with the returned id, or poll the matching `GET /v1/image-projects/{id}` endpoint until status is `complete`, `error`, or `canceled`. Completed projects include `downloads` with direct URLs. The custom wait helper also returns `exact_download_urls` separately from expiration metadata. - For `*_file_path` values, prefer an existing Magic Hour file path or a `file_path` returned by the upload-URL endpoint after the file bytes are uploaded. Direct public media URLs may work when they are stable, fetchable, and return raw file bytes, but hotlinked URLs can fail; when in doubt, use the presigned upload
head_swap_create_image
Swap a head onto a body image. Each image costs 10 credits. Output resolution depends on your subscription; you may set `max_resolution` lower than your plan maximum if desired. MCP guidance: - This starts an async image generation job and returns `id` plus `credits_charged` immediately. If the user wants the finished result, call the `wait_for_image_project` helper with the returned id, or poll the matching `GET /v1/image-projects/{id}` endpoint until status is `complete`, `error`, or `canceled`. Completed projects include `downloads` with direct URLs. The custom wait helper also returns `exact_download_urls` separately from expiration metadata. - For `*_file_path` values, prefer an existing Magic Hour file path or a `file_path` returned by the upload-URL endpoint after the file bytes are uploaded. Direct public media URLs may work when they are stable, fetchable, and return raw file bytes, but hotlinked URLs can fail; when in doubt, use the presigned upload flow first and pass the r
image_background_remover_create_image
Remove background from image. Each image costs 5 credits. MCP guidance: - This starts an async image generation job and returns `id` plus `credits_charged` immediately. If the user wants the finished result, call the `wait_for_image_project` helper with the returned id, or poll the matching `GET /v1/image-projects/{id}` endpoint until status is `complete`, `error`, or `canceled`. Completed projects include `downloads` with direct URLs. The custom wait helper also returns `exact_download_urls` separately from expiration metadata. - For `*_file_path` values, prefer an existing Magic Hour file path or a `file_path` returned by the upload-URL endpoint after the file bytes are uploaded. Direct public media URLs may work when they are stable, fetchable, and return raw file bytes, but hotlinked URLs can fail; when in doubt, use the presigned upload flow first and pass the returned `file_path`.
photo_colorizer_create_image
Colorize image. Each image costs 10 credits. MCP guidance: - This starts an async image generation job and returns `id` plus `credits_charged` immediately. If the user wants the finished result, call the `wait_for_image_project` helper with the returned id, or poll the matching `GET /v1/image-projects/{id}` endpoint until status is `complete`, `error`, or `canceled`. Completed projects include `downloads` with direct URLs. The custom wait helper also returns `exact_download_urls` separately from expiration metadata. - For `*_file_path` values, prefer an existing Magic Hour file path or a `file_path` returned by the upload-URL endpoint after the file bytes are uploaded. Direct public media URLs may work when they are stable, fetchable, and return raw file bytes, but hotlinked URLs can fail; when in doubt, use the presigned upload flow first and pass the returned `file_path`.
audio_projects_retrieve_details
Check the progress of a audio project. The `downloads` field is populated after a successful render. **Statuses** - `queued` — waiting to start - `rendering` — in progress - `complete` — ready; see `downloads` - `error` — a failure occurred (see `error`) - `canceled` — user canceled - `draft` — not used MCP guidance: - Use this after a create tool to poll job status. When status is `complete`, surface the `downloads` URLs to the user; if status is `error`, surface the error message. - Each `downloads[n].url` is already the full signed download URL. Use it exactly as returned. Do not shorten it, strip query parameters, or append `expires_at` onto the URL string.
audio_projects_delete
Permanently delete the rendered audio file(s). This action is not reversible, please be sure before deleting.