Logimu Shopping MCP
VerifiedFeaturedRemoteAbout Logimu Shopping MCP
Logimu Shopping MCP gives MCP clients observed product and seller data from Amazon marketplaces and Walmart US. Its tools cover product discovery, prices, availability, offers and historical trends, with free warehouse queries and additional key-based tools.
Key features
- 01Ranked product shortlists and filters
- 02Prices, stock, ratings and sellers
- 03Price, rank and Buy Box history
- 04Live search, deals and offers
- 05Seller, brand and category insights
- 06Free warehouse queries without signup
Use cases
- 01Compare products by price and rating
- 02Check an item’s price and stock history
- 03Find current offers and Buy Box sellers
- 04Explore category and seller competition
MCP support
The hosted remote MCP server is available at `https://api.logimu.com/mcp` over Streamable HTTP. It exposes shopping and product data tools, with additional tools available to paid-plan keys; a separate stdio stub supports tool listing and points calls to the hosted server.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://api.logimu.com/mcpclaude mcp add --transport http logimu-shopping https://api.logimu.com/mcp{"mcpServers":{"logimu-shopping":{"type":"http","url":"https://api.logimu.com/mcp"}}}Open in Cursor{"servers":{"logimu-shopping":{"type":"http","url":"https://api.logimu.com/mcp"}}}Open in VS Code{"mcpServers":{"logimu-shopping":{"type":"http","url":"https://api.logimu.com/mcp"}}}{"mcpServers":{"logimu-shopping":{"serverUrl":"https://api.logimu.com/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
15| Parameter | Type | Required | Description |
|---|---|---|---|
| asin | string | Yes | 10-character Amazon ASIN, or a numeric Walmart item ID when country=walmart. Provide either asin or gtin. |
| gtin | string | No | GTIN / UPC / EAN barcode (12, 13 or 14 digits; punctuation and leading zeros are tolerated), resolved to an ASIN in the requested marketplace. USE WHEN the user gives a barcode instead of an ASIN — scanned off a package, from a supplier sheet, or copied from a listing. A barcode can legitimately map to several ASINs; the best match is returned and the rest are listed in gtin_matches. Never billed when the barcode is unknown to us. |
| mode | enum | No | cache = stored observation only; live = force an on-demand scrape (Amazon only, takes a few seconds); auto = serve cache when fresher than max_age_days, otherwise scrape. The no-signup free lane is cache-only: mode=live returns an error asking for an API key (from $19/mo) (do not offer a live scrape to a keyless caller); with a key, live/auto scrape normally.cache | live | auto |
| track | boolean | No | Answer AND track (paid plans): after this answer the ASIN is pinned into our hot lane, which re-reads its all-offers page every `interval` for 30 days and adds every read to buybox_price_points_hot - the same as the track_product tool. No extra credits (the plan's daily tracked-snapshot allowance is drawn); the answer is served even when the tracking is refused and its `track` block says why. Amazon only. |
| country | enum | No | Marketplace to look the product up in. Amazon: us, uk, de, ca, au, fr, it, es, jp, mx, br. walmart = Walmart US (United States only). Pick the marketplace matching the user's country or locale when known (a German user -> de, a Canadian user -> ca); default us.us | uk | de | ca | au | fr | it | es | jp | mx | br | walmart |
| interval | enum | No | With track=true: how often the lane re-reads the all-offers page (1h = 24 snapshots a day).1h | 2h | 4h | 12h | 24h |
| bsr_history | boolean | No | Attach the full per-category BSR rank history (era-tagged daily points back to Oct 2023 for US; legacy top-100 segments are flagged censored). Amazon marketplaces only; needs a paid-plan API key (from $19/mo). Included in the record, no extra credits. |
| history_only | boolean | No | Return ONLY the stored history series - bsr_history, offer_history and buybox_price_history - with no snapshot, content or seller table, for 0.05 credit. USE WHEN the user tracks price or rank over time for many products and does not need the current listing. Amazon marketplaces only, served from stored observations (mode=live is refused); needs a paid-plan API key (from $19/mo). |
| include_used | boolean | No | Include used, refurbished, open-box and collectible offers in current_sellers (default false keeps the new-condition list). Every seller row always carries condition (the marketplace's own label) and condition_class (new, used_like_new, used_very_good, used_good, used_acceptable, used, refurbished, open_box, collectible, unknown); current_sellers always carries used_offer_count, lowest_new (the cheapest new offer - the list is buy-box first, not price-sorted) and lowest_used (the cheapest second-hand offer) even without opting in. With offer_history it returns one series per seller+condition_class. Cached, live and historical data alike; not billed extra. |
| max_age_days | integer | No | How old a cached observation may be before mode=auto triggers a live scrape. |
| offer_history | boolean | No | Attach the buy-box owner timeline and per-seller daily price series (US buy-box depth back to Dec 2024) plus buybox_price_history, the lowest buy-box price of every observed day (Amazon US back to Nov 2023). Amazon marketplaces only; needs a paid-plan API key (from $19/mo). Included in the record, no extra credits. |
| history_points | integer | No | With offer_history: points per series, the most recent N observed days (default 500, max 20,000). Wider series are included too, no extra credits (offer_history.points_extra still reports the points beyond the default 10 x 500). |
| history_sellers | integer | No | With offer_history: how many of the most-observed sellers carry a point series (default 10, max 50). Every observed seller is always listed as a summary row with points_total. |
Details
From the project READMELogimu Shopping MCP
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: 30 queries per day.
https://api.logimu.com/mcp
Quick start
| 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 tools. 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:
- "Find me the best coffee maker under $80" → ranked shortlists grouped by category or price tier
- "Is ASIN B0BDHQSZCV a good buy right now?" → price, stock, buy-box seller, 30-day price/stock changes, brand stats
- "Well-rated dehumidifiers under $150 with 1,000+ reviews" → structured warehouse filtering
Tools
| 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 30 daily |
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; full price, rank and buy-box histories with a key (included in the record), or history_only for the series alone (0.05 credit) | Free: 1 of 30 daily |
search | Filtered structured lists — price/rating/review/BSR/FBA filters, sorting | Up to 25 rows on the free lane, across all 11 Amazon marketplaces plus Walmart US | Free: 1 of 30 daily |
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 (seller, brand, category, market_lists, keywords, keyword_rankings, product_keywords) 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 lane and paid plans, honestly stated
| Free (no signup) | Paid plan (API key) | |
|---|---|---|
| Queries | 30 / day | Credit-metered — subscriptions from $19/month, one-time credit packs, unconditional 14-day money-back |
| Data | Warehouse shopping / product / search, cached (fresh, timestamped) | + 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 |
- Every record carries an
observed_attimestamp — data is observed from our warehouse, not a live retailer feed. - We have no affiliate or seller relationship with anything the tools return. Nothing is ranked because someone paid for it.
- Failed or empty requests are never billed, on any tier.
What's in this repo
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
Links
- Product page: logimu.com/shopping-mcp
- API console & plans: api.logimu.com
- Docs: api.logimu.com/docs
- Privacy: logimu.com/privacy-policy · Terms: logimu.com/terms · Refunds: logimu.com/refund-policy
- Support: [email protected]
© 2026 Logimu · A service of CP Development doo · Not affiliated with Amazon or Walmart.
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