Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
제작자가 쓴 설명(영어 원문)
Create and edit images and video, generate music, and retrieve existing audio projects.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://mcp.magichour.ai/터미널에서 이 명령어를 실행하세요
claude mcp add --transport http magic-hour https://mcp.magichour.ai/프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"magic-hour": {
"url": "https://mcp.magichour.ai/"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"magic-hour": {
"type": "http",
"url": "https://mcp.magichour.ai/"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://mcp.magichour.ai/메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
도구 이름과 설명은 서버가 2026년 11월 6일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.
get_workflow_guideReturns required inputs, ordered steps, example requests and review criteria for eight supported Magic Hour workflows. Use when planning a generation, not to run one. Requires authentication but does not check account eligibility or spend credits.
upload_chatgpt_imageUploads a PNG, JPEG or WebP image attached in ChatGPT to the connected Magic Hour account. Use this for native ChatGPT photo attachments instead of asking the chat's file runtime to PUT bytes to get_upload_urls. Pass the returned file_path to the existing image or video generatio
upload_chatgpt_mediaUploads one native ChatGPT attachment to the connected Magic Hour account: PNG/JPEG/WebP images, MP4/MOV/WebM video, or MP3/WAV/M4A/FLAC/Ogg/WebM audio, up to 20 MiB. Set media_type to the attachment's actual kind, not the requested output: image, video or audio. For multiple ref
pingChecks that the Magic Hour server is reachable. Use for connectivity troubleshooting; it does not validate API credentials or account access. Makes no media or project changes.
wait_for_video_projectPolls a video project until it completes, errors, is canceled or times out. Use with the id returned by a video create tool. Read-only; returns download URLs when complete. After a timeout, resume with the same id rather than creating another generation. Use signed download URLs
wait_for_image_projectPolls an image project until it completes, errors, is canceled or times out. Use with the id returned by an image create tool. Read-only; returns the project and download URLs, with optional inline image previews sharing an 8 MiB total limit. After a timeout, resume with the same
wait_for_audio_projectPolls an audio project until it completes, errors, is canceled or times out. Use with the id returned by an audio create tool. Read-only; returns the project and download URLs, with optional inline audio previews sharing an 8 MiB total limit. After a timeout, resume with the same
fetch_image_downloadFetch a completed project's image as inline MCP image content for compatible clients. Use the exact signed download URL, including query parameters. Requires HTTPS at the configured Magic Hour media host. Read-only; limited to 8 MiB, or a smaller requested max_bytes. Use the sign
fetch_audio_downloadFetch a completed project's audio as inline MCP audio content for compatible clients. Use the exact signed download URL, including query parameters. Requires HTTPS at the configured Magic Hour media host. Read-only; limited to 8 MiB, or a smaller requested max_bytes. Use the sign
fetch_video_downloadFetch a completed project's video as an embedded MCP binary resource for compatible clients. Use the exact signed download URL, including query parameters. Requires HTTPS at the configured Magic Hour media host. Read-only; limited to 8 MiB, or a smaller requested max_bytes. Use t
get_account_infoReturns credit balance and subscription details for the connected account. Use to inspect account information before generation. Read-only; this is not a request-specific cost quote or model-eligibility check.
list_saved_itemsLists the account's active saved characters, references, voice recordings, moodboards and brand kits, newest first. Reusable paths are in each item's assets[].file_path; temporary signed URLs support preview/download. Read-only; pass next_cursor as cursor for the next page.
get_upload_urlsCreates presigned upload URL and file-path pairs for local media. Use when a generation needs a file the user has locally: upload raw bytes to the returned upload_url, then pass its file_path to the create tool. Does not upload file bytes or start a generation.
get_face_detection_resultsReturns a face-detection job's status and detected faces. Use with the id from detect_faces to inspect progress and choose face mappings before a selected-face swap. Read-only; faces may populate while processing.
detect_facesStarts an asynchronous face-detection task for a supplied image or video and returns its id and charge information. Use before a selected-face swap, then retrieve its status and detected faces with get_face_detection_results. Current API documentation describes detection as free;
get_video_projectReturns a video project's status and, once complete, its download URLs. Use to check progress with the id from a video create tool. Read-only.
delete_video_projectDeletes the video project and attempts to delete its completed output. Cannot be undone; confirm with the user first.
create_talking_photoUse only with the user's own likeness or content they are authorized to use. Do not use for impersonation, deception, sexual content, or content involving minors. Animates a still portrait so it speaks an existing audio recording. Use with a portrait photo and an audio file; text
create_spoken_ad_videoCreates a creator-style spoken ad video from a prepared image and a text script. Use when the image is ready and the dialogue should be generated from text. Starts a background job that costs credits; returns a project id for wait_for_video_project.
edit_videoEdits the appearance or content of a supplied video segment using a text prompt. Use with a source video, the requested changes and the clip end time. Starts a background job that costs credits; returns a project id for wait_for_video_project.
translate_videoTranslates speech in a supplied video segment into a supported target language. Starts a background job that costs credits; returns a project id for wait_for_video_project.
upscale_videoUpscales a supplied video segment to a selected output resolution while preserving its aspect ratio. Starts a background job that costs credits; returns a project id for wait_for_video_project.
create_animationCreates a stylized animated video with art and camera settings, using a custom prompt or an audio-derived prompt mode. Can use an initial image and audio. Credits depend on frame rate and duration; returns a project id for wait_for_video_project.
create_video_from_audioGenerates an audio-guided video from a supplied audio track, with an optional starting image and visual prompt. Starts a background job that costs credits; returns a project id for wait_for_video_project.
add_subtitles_to_videoAdds automatically generated subtitles to a supplied video segment using a subtitle preset or custom text styling. Starts a background job that costs credits; returns a project id for wait_for_video_project.
replace_character_in_videoUse only with the user's own likeness or content they are authorized to use. Do not use for impersonation, deception, sexual content, or content involving minors. Replaces a subject in a video with a character from a reference image, or transfers the video's motion onto that char
swap_face_in_videoUse only with the user's own likeness or content they are authorized to use. Do not use for impersonation, deception, sexual content, or content involving minors. Swaps faces in an existing video: all faces with a reference image, or selected faces using detect_faces results. Sta
create_video_from_imageAnimates a supplied image into a video using motion instructions and available model options. Starts a background job that costs credits; returns a project id for wait_for_video_project.
create_lip_sync_videoUse only with the user's own likeness or content they are authorized to use. Do not use for impersonation, deception, sexual content, or content involving minors. Adjusts an existing video's lip movements to match supplied replacement audio. For a still portrait plus audio, use c
create_video_from_textGenerates a video from a text prompt, with optional supported reference inputs and model settings. To animate an existing starting image, use create_video_from_image. Starts a background job that costs credits; returns a project id for wait_for_video_project.
restyle_videoRestyles an existing video clip with an art-style preset or a custom prompt. Supports v1/v2 presets, not v3. Starts a background job that costs credits; returns a project id for wait_for_video_project.
get_image_projectReturns an image project's status and, once complete, its download URLs. Use to check progress with the id from an image create tool. Read-only.
delete_image_projectDeletes the image project and attempts to delete its completed output. Cannot be undone; confirm with the user first.
change_clothes_in_photoUse only with the user's own likeness or content they are authorized to use. Do not use for impersonation, deception, sexual content, or content involving minors. Changes clothing in a person photo using a supplied garment reference image. Costs 25 credits. Starts a background jo
edit_face_in_photoAdjusts facial expression, pose and gaze in a supplied photo using numeric controls. Costs 1 credit per edit; output size depends on the subscription tier. Starts a background job; returns a project id for wait_for_image_project.
create_gif_or_short_videoGenerates a short animation from a text prompt, with GIF, MP4 or WebM output. Costs 50 credits. Starts a background job; returns a project id for wait_for_image_project.
edit_imageEdits one or more supplied images using a text prompt. For prompt-only creation use generate_image. Costs credits; returns a project id for wait_for_image_project. Model eligibility depends on the account plan; the default model is not available on every plan.
generate_headshotCreates a headshot from a supplied photo containing one detectable face, with optional appearance instructions. Costs 50 credits. Starts a background job; returns a project id for wait_for_image_project.
generate_imageGenerates one or more images from a text prompt, with model, output size and image count options. Costs credits; returns a project id for wait_for_image_project.
upscale_imageUpscales a supplied image 2x or 4x. Cost depends on scale and mode (25-200 credits); returns a project id for wait_for_image_project.
create_memeCreates a meme from a topic and template selection. Costs 10 credits. Starts a background job; returns a project id for wait_for_image_project.
create_qr_codeCreates a stylized QR code from supplied text or a URL and an art-style description. Currently costs 0 credits. Starts a background job; returns a project id for wait_for_image_project.
place_person_in_sceneUse only with the user's own likeness or content they are authorized to use. Do not use for impersonation, deception, sexual content, or content involving minors. Places a person from one supplied photo into a supplied scene image. Cost depends on resolution (from 50 credits at 6
swap_face_in_photoUse only with the user's own likeness or content they are authorized to use. Do not use for impersonation, deception, sexual content, or content involving minors. Swaps faces in a supplied photo using a source face image or selected face mappings. Costs 10 credits; output size de
swap_head_in_photoUse only with the user's own likeness or content they are authorized to use. Do not use for impersonation, deception, sexual content, or content involving minors. Swaps a head from a supplied image onto a supplied body image. Costs 10 credits; returns a project id for wait_for_im
remove_image_backgroundRemoves an image's background, optionally replacing it with another supplied image. Costs 5 credits. Starts a background job; returns a project id for wait_for_image_project.
colorize_photoColorizes a black-and-white or faded photo. Costs 10 credits; returns a project id for wait_for_image_project.
get_audio_projectReturns an audio project's status and, once complete, its download URLs. Use to check progress with the id from an audio create tool. Read-only.
delete_audio_projectDeletes the audio project and attempts to delete its completed output. Cannot be undone; confirm with the user first.
generate_musicGenerates music from a description, with optional custom lyrics or instrumental-only output. Costs 1 credit per requested second; returns a project id for wait_for_audio_project.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 magichourhq 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
409ms 만에 응답(HTTP 200)
로그인 필요 없음
도구 설명 50개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 3개 중 3개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.1.1)은 3일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Figma Context MCP, Claude Real Video, Figma MCP Server
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Let any LLM watch a video locally — and search everything it has ever watched.
The Figma MCP server brings Figma design context directly into your AI workflow.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
OpenAPI-backed MCP server for Magic Hour image and video generation and editing, music generation, uploads, completion waiting and retrieval of existing audio projects.
At startup, this server builds MCP tools from the canonical docs/openapi.json with FastMCP.from_openapi(). Installed distributions bundle that snapshot inside the Python package, so startup does not require a repository checkout. The spec supplies endpoint coverage, while Magic Hour MCP policies add agent-facing guidance for async polling, uploads, and project downloads.
Hosted creation endpoint: https://mcp.magichour.ai/
Follow the client setup guide for Claude, Claude Code, Codex CLI or ChatGPT. After connecting, call get_account_info to verify API access and inspect the account before generation; ping alone does not validate the API key.
Try: “Use my portrait to create a cinematic space-pilot still, then animate it with a slow camera push. Keep my face consistent, wait for the render and show the finished video. Check account eligibility and cost before spending credits.”
Use get_workflow_guide for the ordered tool steps and output review. After a tool-name update, refresh the client’s cached tool catalog or reconnect. Use the names returned by tools/list; dated example receipts keep their original IDs. For documentation search while coding, use the separate API Docs MCP.
Docs:
user.md - hosted endpoint user guideintegration-handoff.md - FastAPI mount checklistdocs/detailed-step-by-step-integration.md - full backend integration guidedocs/api-reference.md - generated API referenceUse the workload evaluation guide to compare a finished image or video job, including its inputs, model, settings, output and cost. Check the current model limits and billing options: the dollar cost of consumed credits and the cash needed to fund an account are different. For example, Creator annual costs $144 paid upfront for 144,000 credits, enough for 600 five-second Kling 3.0 videos at 720p with audio off ($0.24 each at full credit use, before tax). Audio, higher resolutions and video-reference inputs cost more credits.
The account read verifies API authorization and returns account information; it is not a request-specific price or eligibility quote. The current MCP tool contract has no such quote operation. A workflow guide does not validate the requested model, source media or plan access. Resolve unclear costs or access before creating a paid project.
For inspectable video examples, the published image-to-video benchmark provides source images, requests, all attempts and downloadable results. It compares models through Magic Hour and does not establish a provider-quality winner or human acceptance of the clips.
MCP generations use Magic Hour account credits. You can buy a one-time credit pack without a subscription; unused credits never expire. Packs include applicable watermark-free exports and commercial use, subject to the Terms and rights in your source content. They do not unlock subscription-only model or resolution access.
Technical failures generally return credits after processing; completed but unsatisfactory results do not automatically return credits. A wait timeout is not proof of project failure—resume with the existing project ID. Payment refunds follow the separate refund policy.
Trust & Data Use explains Magic Hour's no-training policy for customer prompts, uploads and outputs, and feature-dependent retention.
pip install -e .
python main.py
Local MCP endpoint:
http://127.0.0.1:8000/
This local dev server runs at /, not /mcp. The host app adds /mcp when it mounts the server.
By default, requests go to the production Magic Hour API:
https://api.magichour.ai
Tool discovery is public. Tool calls require authentication. Hosted Claude and ChatGPT OAuth connectors handle the token after you sign in and authorize access. For manual bearer clients, include your Magic Hour API key:
Authorization: Bearer <magic_hour_api_key>
Agents can discover the hosted server card at:
https://mcp.magichour.ai/.well-known/mcp/server-card.json
Environment variables:
MAGIC_HOUR_API_BASE_URL=https://api.magichour.ai
MAGIC_HOUR_OPENAPI_PATH=docs/openapi.json MCP_OAUTH_ISSUER_URL=https://mcp.magichour.ai MCP_OAUTH_RESOURCE_URL=https://mcp.magichour.ai
Override MAGIC_HOUR_API_BASE_URL to use a mock or another API base:
MAGIC_HOUR_API_BASE_URL=https://api.sideko.dev/v1/mock/magichour/magic-hour/latest python main.py
get_workflow_guide accepts video-face-swap, image-editor, image-to-video, video-generator, lip-sync, ugc-ads, talking-photo or media-apis. It returns inputs, product and API documentation URLs, exact creation-tool names, ordered steps, example requests, follow-up edits and review criteria. It makes no API request, spends no credits and does not verify account access. Like other tools, it requires the existing authentication flow.
Clients can also discover the public magic-hour://workflows/index resource and read magic-hour://workflows/{workflow}. UGC uses create_spoken_ad_video with a prepared image, script and supported duration; image composition is a separate Image Editor call. Keep the returned project ID and use wait_for_video_project to retrieve the finished file.
For example, ask for image-to-video to animate an approved product photo directly, review the finished clip and reuse it for a later edit. Edit the still only when the requested appearance must change or a source problem prevents the shot. The talking-photo guide requires a portrait and an existing audio file; text alone cannot start that tool. Guides describe workflows, not prevalidated generated outputs or account eligibility.
This helps assistants that connect to this server select workflows; it does not establish a recommendation or ranking benefit in unconnected consumer assistants.
This server is an OAuth protected resource only. The authorization server is the Magic Hour web app (https://magichour.ai): users sign in and consent there, and it returns a Magic Hour API key as the access token, which this server passes through to the API. Production requires MCP_OAUTH_ISSUER_URL and MCP_OAUTH_RESOURCE_URL. See docs/future-oauth-support.md.
npx @modelcontextprotocol/inspector
Streamable HTTPhttp://127.0.0.1:8000/Authorization: Bearer ping.get_upload_urls or another generated tool.Notes:
id and credits_charged immediately.operationId values are normalized to descriptive snake_case tool names./v1/files/upload-urls endpoint is named get_upload_urls. It accepts video, audio, and image items.wait_for_*_project to poll jobs. Use exact_download_urls exactly as returned; never append expiration metadata.Rebuild and type-check the MCP App UI with cd web && npm ci && npm run build.
media_project_resolved includes project_id, project_type, status and download_count. Count distinct projects with status complete and at least one download to measure completed-project retrievals. Repeated reads remain raw events; older events without a project ID cannot be deduplicated or backfilled.
The result card reports mcp_app_result events: preview_loaded when the main media loads, playback_started when playback actually starts, and download_requested when Download is clicked. Properties contain only the project ID, media type and SHA-256 output-path hash. No prompts, filenames, raw paths, signed URLs or credentials are sent. The widget suppresses repeat events within its lifetime; reports must also deduplicate by (event, project_id, project_type, output_id) across reloads and cards.
UI reports are anonymous and can be spoofed. Reconcile project IDs against authenticated completion events and report unmatched coverage separately. Loading does not prove visibility or quality; a download request does not prove host acceptance or a completed download. These events do not establish unique customers, public-plugin installs or paid activation.
Magic Hour does not accept raw file bytes inside tool arguments. The flow is:
get_upload_urlsupload_urlfile_path into the generated creation toolDirect public media URLs may work, but uploaded file_path values are more reliable. Upload bytes from the caller or a dedicated upload bridge; the hosted MCP server never reads caller-supplied local filesystem paths. Browser chat needs a separate upload UI or bridge; see docs/future-chat-ui-handoff.md.
AI Voice Generator exposes and accepts only exact API voice_name strings in APPROVED_VOICE_NAMES in mcp_magichour/openapi_policies.py. Populate that tuple with verified approved generic/non-celebrity presets to enable the tool on the next deployment. No existing upstream voice is assumed safe. An empty allowlist omits Voice Generator from tool discovery and calls. Voice Cloner is always excluded from MCP.
The MCP policy removes upstream voice descriptions, defaults, examples and SDK snippets at startup and when regenerating docs/api-reference.md. Daily OpenAPI syncs cannot expand the allowlist. Do not edit docs/openapi.json to set MCP voices: it remains the unmodified upstream API snapshot. The main Magic Hour product and the public API are unchanged.
MCP Meme Generator exposes only the generic Random template option, keeping public-figure template names out of its schema.