# Magic Hour Muse connector

From musedirectory.ai, the independent directory of Meta Muse connectors. Not affiliated with Meta.

## Magic Hour

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

- Record: https://musedirectory.ai/connector/magic-hour
- Category: Shopping & Commerce
- Developer: Magic Hour
- Muse status: Extra setup. Not in Muse's Connectors list yet. Muse can still use it: its page gives you a request to paste into Muse.
- Health: Working, 591ms, checked 2026-09-28T08:30:57Z
- Endpoint: https://mcp.magichour.ai/
- Auth: No account needed; Pricing: unknown
- Screening: Screened, no issues found (2026-09-25T09:41:21Z)
- Source: Found in the official MCP Registry (io.github.magichourhq/magic-hour) https://registry.modelcontextprotocol.io/v0/servers?search=io.github.magichourhq%2Fmagic-hour

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.

Example request: "Create a talking video of me from a photo and a voice recording"

How to connect: 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.

Tools:
- ping: Check that the Magic Hour MCP server is reachable.
- 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]
- 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]
- 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 UR
- 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, referenc
- 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
- 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/vide
- 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-proje
- 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 cance
- 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 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_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_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_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 
- 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_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 cance
- 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` he
- 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 r
- 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 `
- 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/{
- 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 
- 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 
- 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
- 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 th
- 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 mat
- 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 u
- 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` p
- 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` imme

Screening checks:
- 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)