Shopping & Commerce

Magic Hour

Create and edit images, videos, and audio with AI-powered tools

Magic Hour connects to AI image, video, and audio generation and editing tools. Muse can create talking photos, generate videos from text or images, swap faces, add subtitles, edit images, upscale photos, and generate QR codes and memes.

Try asking Muse: "Create a talking video of me from a photo and a voice recording"

Working now?

Working

Worked last 7 days

100% of checks

How to get it

Extra setup

Account

No account needed

Price

Not stated

Source: Found in the official MCP Registry (io.github.magichourhq/magic-hour) · First listed September 25, 2026

Last 24 hours

Each bar is one check, every 15 minutes. Green means it answered. Last checked 37 min ago.

Is it safe to connect?

What Muse can see: It does not ask you to sign in, so it cannot see your accounts. It only sees what Muse sends it from your request.

Before it acts: Read what Muse plans to do before you approve it, and remove the app from Muse when you stop using it.

musedirectory.ai is not part of Meta. More about how Muse handles your information

How to add it to Muse

Not in Muse's Connectors list yet, but Muse can still use it. Copy the request below and paste it into Muse. Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

Paste this into Muse

Use Magic Hour to help me. It is a free service with an MCP server at https://mcp.magichour.ai/. It does not need an API key. Ask me before you share anything with it.

Open Muse

https://mcp.magichour.ai/

Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.

Technical details: safety screening, tools, response time and recent checks

Response time at the last check: 591ms. Worked in 100% of checks over 30 days.

Screening · September 25, 2026

Screened, no issues found

MCP handshake

Pass

Answered in 541ms

Domain against threat feeds (Cloudflare security DNS)

Pass

mcp.magichour.ai not flagged

Published packages against the OSV malicious-package database

n/a

No npm or PyPI package published

Hidden instructions or invisible characters in tool text

Pass

45 tools read, nothing found

Inputs asking for passwords, card numbers or seed phrases

Pass

None found

Domain and redirects

Pass

Domain registered 1342 days ago

AI review of purpose and tool behavior

Pass

No concerns

Screening looks for known threats and hidden instructions at the time of the check, and runs again weekly and whenever the tool list changes. It cannot see the server's code, so only connect what you need and review what Muse asks to do. How screening works.

Tools · 40

pingCheck that the Magic Hour MCP server is reachable.

wait_for_video_projectPoll 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_projectPoll 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]

wait_for_audio_projectPoll 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]

fetch_image_downloadFetch 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_downloadFetch 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_downloadFetch 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 UR

account_retrieveGet the current credit balance and subscription details of the account that owns the API key.

saved_items_listReturns 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, referenc

video_assets_generate_presigned_urlGenerates 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

face_detection_retrieve_detailsGet 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/vide

face_detection_detect_facesDetect 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-proje

video_projects_retrieve_detailsCheck 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 cance

video_projects_deletePermanently delete the rendered video. This action is not reversible, please be sure before deleting.

ai_talking_photo_create_talking_photoCreate 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 po

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

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, pipel

animation_create_videoCreate 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_vi

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

auto_subtitle_generator_create_videoAutomatically 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

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, pip

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

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

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 *

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,

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

image_projects_retrieve_detailsCheck 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 cance

image_projects_deletePermanently delete the rendered image(s). This action is not reversible, please be sure before deleting.

ai_clothes_changer_create_imageChange 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` he

ai_face_editor_edit_imageEdit 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 r

ai_gif_generator_create_imageCreate 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 `

ai_image_editor_create_imageEdit 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/{

ai_headshot_generator_create_imageCreate 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

ai_image_generator_create_imageCreate 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

ai_image_upscaler_create_imageUpscale 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

ai_meme_generator_create_imageCreate 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 th

ai_qr_code_generator_create_imageCreate 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 mat

body_swap_create_imageSwap 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 u

face_swap_photo_create_imageCreate 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` p

head_swap_create_imageSwap 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` imme

Recent checks

2026-09-28 08:30:58live · HTTP 200591ms

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Link

https://mcp.magichour.ai/

Questions about Magic Hour in Muse

How do I connect Magic Hour to Muse?

Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use Magic Hour to help me. It is a free service with an MCP server at https://mcp.magichour.ai/. It does not need an API key. Ask me before you share anything with it." Muse asks before it shares anything with the app's site. Meta does not review apps used this way, so only use ones you trust. We tested this in the Muse app on September 24, 2026: Muse used an app's link directly this way and returned a live answer.

Is Magic Hour working right now?

At the last check (September 28, 2026, 08:30 UTC) the endpoint was working, answering in 591ms. Over the last 7 days it answered 100% of health checks. It is checked every 15 minutes.

Is Magic Hour safe to connect to Muse?

It was screened on September 25, 2026 with the result "screened, no issues found". Screening checks the domain against threat feeds and reads the tools for hidden instructions and requests for passwords or card numbers. It cannot see the server's code, so grant only the access you need.

What can Magic Hour do in Muse?

It exposes 40 tools, including ping, wait_for_video_project, wait_for_image_project, wait_for_audio_project. For example, you could ask Muse: "Create a talking video of me from a photo and a voice recording"

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