SuperShopping
Search, compare and buy new and used products with natural language queries and outfit recommendations.
AI shopping assistant that searches new and used products across multiple marketplaces, compares specs and prices, recommends items by budget and intent, and suggests coordinated outfits. Connects to Korean shopping platforms and provides price analysis by category.
Try asking Muse: "Find a men's winter coat under 200,000 won and show me outfits to wear with it."
Source: Found in the official MCP Registry (ai.atdev/supershopping) · First listed September 23, 2026
Last 24 hours
Each bar is one check, every 15 minutes. Green means it answered. Last checked 1 h 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.
https://supershopping-mcp.atdev.ai/mcpNot 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: 900ms. Worked in 100% of checks over 30 days.
Screening · September 23, 2026
Screened, no issues found
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 · 8
search_products자연어로 신품·중고 통합 상품 검색 (슈퍼쇼핑의 기본 진입점). 언제: 사용자가 특정 상품을 찾을 때. 예) "남성 패딩 20만원 이하", "중고 RTX 4070", "27인치 게이밍 모니터". 자동 처리: 도메인(패션/전자)·성별·가격대·속성을 질의에서 추출해 필터링. 반환: {items: [{title, min_price, key_specs, thumbnail, buy_url, source, condition, ...}], total}. → 결과 제시 시 각 buy_url을 링크로 함께 보여줘get_product_detail슈퍼쇼핑 상품의 전체 상세 — 스펙·쇼핑몰별 가격(offers)·신품/중고 교차비교. 언제: 사용자가 한 상품을 깊이 보거나 구매 직전일 때. (product_id는 search/recommend 결과에서 얻는다) 반환: 전체 속성 + offers(쇼핑몰별 buy_url) + comparison_url + other_sources(같은 모델의 다른 소스 신품↔중고 가격 스프레드) + affiliate_disclosure(있으면 고지). → other_sources로 "같은 모델 중고는 얼마" 같은get_product_image슈퍼쇼핑 상품의 대표 이미지를 실제 이미지(렌더 가능)로 반환. 언제: 사용자가 상품 사진을 보고 싶어할 때("이 코트 보여줘"). 검색/추천 결과의 thumbnail은 URL(텍스트)이라 화면에 안 뜨므로, 시각 확인이 필요하면 이 툴로 이미지 자체를 가져온다. 반환: 이미지 콘텐츠(여러 개를 한 번에 보여주지 말고 관심 상품 위주로 호출).compare_products슈퍼쇼핑 상품 여러 개(2~5개)의 스펙·가격 비교 매트릭스 + 한 줄 결론. 언제: 사용자가 후보 여러 개를 견주려 할 때("이 중에 뭐가 나아?"). product_ids는 search 결과에서. 반환: {attributes: 공통 키, matrix: 상품별 값/가격, verdict: 한국어 결론}.recommend_products슈퍼쇼핑에서 의도·예산 기반 상품 추천 + 추천 근거. 언제: 사용자가 구체적 검색어 없이 용도/취향/예산만 말할 때("겨울 데이트룩 추천", "50만원대 가성비 노트북"). 인자: intent(용도/취향), budget(예산 상한), must_have(필수 조건). 반환: {recommendations: [{title, min_price, reason, buy_url, thumbnail, source}], affiliate_disclosure?}. → 각 추천을 buy_url 링크와 함께 제시하recommend_outfit슈퍼쇼핑에서 어울리는 코디를 추천 (씨앗 상품 또는 의도 기반). 언제: "이 코트에 어울리는 코디", "가을 데이트룩 코디" 처럼 한 벌 구성을 원할 때. 인자: product_id(씨앗 아이템, 선택), intent(의도/무드, 선택), budget(전체 예산 상한, 선택). 둘 중 하나는 필요. 반환: {seed, items:[{slot, title, min_price, reason, buy_url, thumbnail, source}], styling_reason, affiliate_discanalyze_market슈퍼쇼핑 카테고리 시세 분석 — 가격 분포·최저가몰·대안. 언제: 사용자가 시세/적정가를 물을 때("그래픽카드 요즘 얼마", "노트북 가격대"). category는 이름(예: '노트북') 또는 ID. 반환: 가격 통계(최저/중앙/최고·분포)·최저가 쇼핑몰·대안 상품.initiate_checkout슈퍼쇼핑에서 선택한 상품의 구매로 연결 — 최저가 쇼핑몰의 구매 링크와 가격·고지를 반환. 언제: 사용자가 구매 의사를 보일 때("이거 살래", "구매하기"). 실제 결제는 판매처 페이지에서 일어난다. 반환: {payload: {merchant, buy_url(제휴 변환됨), price, ...}, affiliate_disclosure?, next_actions}. → buy_url을 명확한 구매 링크로 제시하고, affiliate_disclosure가 있으면 반드시 고지하라. 중고(used)는 Recent checks
Link
https://supershopping-mcp.atdev.ai/mcpQuestions about SuperShopping in Muse
How do I connect SuperShopping to Muse?
Not in Muse's Connectors list yet, but Muse can still use it. Paste this into Muse: "Use SuperShopping to help me. It is a free service with an MCP server at https://supershopping-mcp.atdev.ai/mcp. 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 SuperShopping working right now?
At the last check (September 28, 2026, 08:01 UTC) the endpoint was working, answering in 900ms. Over the last 7 days it answered 100% of health checks. It is checked every 15 minutes.
Is SuperShopping safe to connect to Muse?
It was screened on September 23, 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 SuperShopping do in Muse?
It exposes 8 tools, including search_products, get_product_detail, get_product_image, compare_products. For example, you could ask Muse: "Find a men's winter coat under 200,000 won and show me outfits to wear with it."
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