Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Amazon (11 marketplaces) and Walmart US product data: search, prices, stock, history, sellers.
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://api.logimu.com/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http shopping https://api.logimu.com/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"shopping": {
"url": "https://api.logimu.com/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"shopping": {
"type": "http",
"url": "https://api.logimu.com/mcp"
}
}
}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://api.logimu.com/mcp메뉴 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.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 도메인 logimu.com 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 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(1.8.0)은 20일 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: Context7, Codebase Memory, Exa
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Give Claude, ChatGPT, and any MCP client real shopping data.
AI assistants are great at comparing products — and terrible at knowing today's price, what's actually in stock, and which "bestseller" is a relabeled generic. This MCP connector fixes that: your assistant gets observed Amazon (US, UK, DE, CA, AU, FR, IT, ES, JP, MX, BR) and Walmart US data — current prices, live stock, real ratings, price/BSR history, and ranked product shortlists — from a continuously refreshed warehouse of 17M+ tracked products.
Free, no signup: 5 shopping searches per day. Every other tool needs a Logimu plan (from $19/month).
https://api.logimu.com/mcp
| Client | How |
|---|---|
| Claude (claude.ai / desktop / mobile) | Settings → Connectors → Add custom connector → paste the URL above. Authentication: *Sign in now* if you have a Logimu plan (every tool, metered on your plan; OAuth, the connector never sees your key), or keep the pre-selected *No sign-in* for the free shopping tool only. OAuth client: keep *Use Claude's published identity*. Claude can't change this choice later: remove the connector and add it again. |
| Claude Code | claude mcp add --transport http logimu https://api.logimu.com/mcp, then /mcp to sign in when a paid tool asks, or --header "Authorization: Bearer sk_live_…" to pass the key directly |
| ChatGPT (developer mode), Cursor, VS Code, anything MCP | Add the same URL as a remote (Streamable HTTP) server. |
Then ask things like:
| Tool | Use when | Returns | Lane |
|---|---|---|---|
shopping | "best X", "find me Y under $Z" — you want a shortlist | Ranked, grouped products (category or Budget/Mid/Premium tiers) with real ratings, prices, stock, observed_at stamps + brand facets, in ~100ms | Free: 1 of 5 daily, without detail; plan: 2 credits, 5 with detail |
product | You have a specific ASIN/item — "good buy?", "price history?", "who sells this?" | Current snapshot + intelligence blocks: 30-day price/stock change events, all-seller offer table, brand stats, rating history and the rating breakdown by star with its per-day history from 2026-11-05 (percentages as Amazon prints them, counts approximate); full price, rank and buy-box histories with a key (included in the record), or history_only for the series alone (0.05 credit) | Paid plan: 0.5 credit from cache, 1 live |
search | Filtered structured lists — price/rating/review/BSR/FBA filters, sorting | Up to 100 rows, across all 11 Amazon marketplaces plus Walmart US | Paid plan: 1 credit per 25 rows |
serp | The live Amazon search-results page for a query, right now | Organic grid, sponsored and video blocks, refinements, pagination — a real fetch, seconds | API key: 1 credit per page fetched |
bestsellers | What sells best in a category right now; Amazon's best-seller category tree | Up to 100 products in Amazon's rank order, the category's breadcrumb name and its subcategories; a root URL or a country alone returns the top-level categories. A real fetch (seconds), cached up to 30 min | API key: 1 credit per page of 50 (top 100 = 2), root list free |
offers | Who sells a product right now, at what price; the cheapest new or used offer; the buy-box winner this minute | Every offer on Amazon's offers page (every page): seller and seller id, price, shipping, condition, buy box, FBA / FBM / Amazon, Prime, delivery promise and the seller's feedback, by ASIN or barcode. A real fetch (seconds); a no-offers answer is confirmed by a second, independent fetch | API key: 0.5 credit when an offer is listed; no offers, a miss or a failed fetch free |
deals | What is on sale on Amazon right now: today's deals or lightning deals in a department, deals above a discount or under a price, coupon deals, deals ending today | Amazon's Today's Deals page, filtered as Amazon filters it (department, deal collection, % off, price, Prime Exclusive, rating, brand): deal and list price, % off, deal type and state, % claimed, the countdown end, coupon; plus the departments, collections and facets to filter by next and filter_check (did Amazon apply each filter). A real fetch (seconds a page), cached up to 15 min | API key: 1 credit per page fetched (up to 120 deals a page); an empty page or a failed fetch free |
seller | A seller id — rating and feedback history, the storefront, the brands it was observed winning the buy box on, connected sellers | Stored profile (0.5) or live (1), +0.5 history; storefront pages 1 each; brands / network blocks +1 | Paid plan |
brand | Who sells a brand, how contested / Amazon-dominated / FBA-heavy it is, its seller map | Brand dossier from observed buy-box data (1), +0.5 history, +1 per sellers page, +1 for the network of brands sharing sellers | Paid plan |
category | How big / competitive / Amazon-dominated a category is, which brands lead it | Category landscape by id (1, +0.5 history); the name lookup is free | Paid plan |
market_lists | Discover rather than look up — brands gaining or losing sellers, the biggest operators, categories ranked | 25 rows per page, 1 credit per page | Paid plan |
keywords | Amazon's own autocomplete suggestion lists for a seed (positions within each list, first/last observed, marketplaces observed in, related vocabulary), history = each list's observation record, compare = the seed across marketplaces | 1 credit per lookup or compare, +0.5 with history | Paid plan |
keyword_rankings | Page 1 of Amazon US search as last observed (about weekly) for head search terms: the organic order with product facts and each product's latest buy box, the sponsored units in the page HTML, the Overall Pick holder, who holds the page by brand and seller, and what changed since the previous observation; history = the weekly observations. Dated observations, never volume figures | 1 credit a keyword, +0.5 with history | Paid plan |
product_keywords | Reverse ASIN on Amazon US: every observed keyword a product shows up for on page 1, with its rank; asins (up to 10) compares it with competitors and gaps keeps the keywords where they appear and it does not; history = its rank over time. Head search terms and page 1 only | 1 credit per 25 keywords per ASIN, +0.5 with history | Paid plan |
The paid-plan tools (product, search, seller, brand, category, market_lists, keywords, keyword_rankings, product_keywords, track_product, list_tracked) appear in tools/list only for keys on a paid plan; the stub lists the whole catalog so directories can see it. Every derived figure is an observed count or share from Logimu's own data — never an estimate — and "observed since" is the data horizon, not a founding date. Keyword answers are Amazon's own suggestion ranking as observed — positions within one list, never volume figures; the observed page-1 positions of products are keyword_rankings and product_keywords.
Full REST API reference (same engine, same data): api.logimu.com/docs
| Free (no signup) | Paid plan (API key) | |
|---|---|---|
| Queries | 5 shopping searches / day | Credit-metered — subscriptions from $19/month, one-time credit packs, unconditional 14-day money-back |
| Data | shopping: ranked shortlists from the warehouse (fresh, timestamped), without detail | + product records with history, search, shopping detail, mode=live on-demand fetches, serp, bestsellers, offers, deals, seller profiles, brand / category intelligence and market lists, batch jobs on the REST API |
| Signup | None | api.logimu.com |
observed_at timestamp — data is observed from our warehouse, not a live retailer feed.The live server is hosted — this repo carries the tool catalog, an introspection-only stdio stub (logimu-mcp-stub) so directory build harnesses can enumerate the tools without credentials, and the listing metadata. tools/call on the stub returns a pointer to the hosted endpoint.
pip install .
logimu-mcp-stub # stdio MCP: initialize / tools/list work; tools/call points to the hosted server
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