servers / mcp-magichour-ai
MagicHour MCP server
officialstreamable_httpunknownhealthy
AI video, image, and audio — hosted remote MCP
Remote MCP for AI video, image, and audio: text-to-video, image-to-video, face swap, lip sync, talking photo, TTS/voice clone, upscale, background removal, and more — via streamable HTTP at mcp.magichour.ai.
00About
MagicHour exposes a hosted streamable-HTTP MCP at mcp.magichour.ai for creating and editing images, video, and audio. Creation tools are asynchronous: start a project, then use the matching wait_for_*_project tool for downloads. Auth is required (Bearer API key or OAuth). The catalog covers text-to-video, image-to-video, face swap, lip sync, talking photo, character replace, auto subtitles, image generation/editing, clothes changer, headshot/GIF/meme tools, upscale, background removal, photo colorizer, TTS, and voice clone — with models such as Sora 2, Veo 3.1, Kling, Seedance, LTX, Flux, and more depending on plan.
Full creative toolkit
40+ tools spanning video, image, and audio — not just a single generator endpoint.
Hosted remote MCP
Connect at https://mcp.magichour.ai/ over streamable HTTP; no local stdio install required for the primary path.
Async jobs with wait helpers
Start a project, then wait_for_video_project / wait_for_image_project / wait_for_audio_project for signed downloads.
Credits + free developer tier
API key from magichour.ai/developer; free tier includes starter credits (see current pricing).
Who it’s for. Creators, marketers, and agent builders who need production AI media tools inside the MCP loop — especially video and face/voice workflows.
Example prompts
Image then video
Use ai_image_editor_create_image to make a consistent product hero, wait for it, then image_to_video_create_video with ltx defaults and wait_for_video_project.
Talking photo
Create a talking photo from this headshot and a short script, then return the download URL when wait_for_video_project completes.
Account credits
Call account_retrieve and summarize my remaining credits and subscription tier.
auth: Bearer MAGIC_HOUR_API_KEY or OAuth (magic-hour-mcp) · pricing: Credit-based; free developer key at magichour.ai/developer — see magichour.ai/pricing · reviewed by MCPExplorer
01Tools · 45
How to read this: tool names here are observed from a live tools/list handshake. The Risk label is a heuristic inferred from the tool name (write/destructive verbs), not from executing the tool — a conservative guess, not a verified capability. We never escalate risk from a description. Found one that's wrong? Tell us — we fix on report.
| Tool | Risk | Side effects | Approval |
|---|---|---|---|
| account_retrieve Get the current credit balance and subscription details of the account that owns the API key. | read | false | unknown |
| 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 r | write | true | unknown |
| 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 uplo | write | true | unknown |
| 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. | write | true | unknown |
| 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 URL | write | true | unknown |
| 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 | write | true | unknown |
| 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. | write | true | unknown |
| 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 uploa | write | true | unknown |
| 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. | write | true | unknown |
| 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. | write | true | unknown |
| ai_talking_photo_create_talking_photo Create a talking photo from an image and audio or text 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 hotlin | write | true | unknown |
| 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 | write | true | unknown |
| ai_voice_cloner_create_audio Clone a voice from an audio sample and generate speech.
* Each character costs 0.1 credits.
* The cost is rounded up to the nearest whole number
MCP guidance:
- This starts an async audio generation job and returns `id` plus `credits_charged` immediately. If the user wants the finished result, call the `wait_for_audio_project` helper with the returned id, or poll the matching `GET /v1/audio-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 | write | true | unknown |
| ai_voice_generator_create_audio Generate speech from text. Each character costs 0.1 credits. The cost is rounded up to the nearest whole number.
MCP guidance:
- This starts an async audio generation job and returns `id` plus `credits_charged` immediately. If the user wants the finished result, call the `wait_for_audio_project` helper with the returned id, or poll the matching `GET /v1/audio-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. | write | true | unknown |
| 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, f | write | true | unknown |
| audio_projects_delete Permanently delete the rendered audio file(s). This action is not reversible, please be sure before deleting. | destructive | true | true |
| 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. | read | false | unknown |
| 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 limi | write | true | unknown |
| 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, b | write | true | unknown |
| 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. Direc | write | true | unknown |
| 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 | write | true | unknown |
| 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 me | write | true | unknown |
| 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. | read | false | unknown |
| 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; h | write | true | unknown |
| 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 endpoi | write | true | unknown |
| 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. | read | false | unknown |
| 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. | read | false | unknown |
| 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. | read | false | unknown |
| 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 ar | write | true | unknown |
| 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 | write | true | unknown |
| image_projects_delete Permanently delete the rendered image(s). This action is not reversible, please be sure before deleting. | destructive | true | true |
| 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. | read | false | unknown |
| 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 limi | write | true | unknown |
| 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; high | write | true | unknown |
| 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 | write | true | unknown |
| ping Check that the Magic Hour MCP server is reachable. | read | false | unknown |
| 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. | read | false | unknown |
| 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 | write | true | unknown |
| 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://vid | write | true | unknown |
| video_projects_delete Permanently delete the rendered video. This action is not reversible, please be sure before deleting. | destructive | true | true |
| 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. | read | false | unknown |
| 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 limi | write | true | unknown |
| 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. | read | false | unknown |
| 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. | read | false | unknown |
| 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. | read | false | unknown |
02Install & source
https://mcp.magichour.ai/
remote_url03Access granted
api_keyoauth
The access this server can exercise, inferred from its verified tools — not a declared OAuth scope.
05Provenance & freshness
sourcesUser submissions [p7]
last_checked2026-09-22 18:26Z
next_check2026-09-24 17:41Z
cadenceevery 48h
verifiedmetadata:passed handshake:passed tools_list:passed
index_statusindex — 5 unique facts >= 5
06Badge
Add the “as seen on MCPExplorer” badge to your README. 
[](https://mcpexplorer.com/servers/mcp-magichour-ai)
Next step
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