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Logimu Shopping MCP

Logimu Shopping MCP

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logimu.comFinance1Updated 3d ago

About 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

  1. 01Ranked product shortlists and filters
  2. 02Prices, stock, ratings and sellers
  3. 03Price, rank and Buy Box history
  4. 04Live search, deals and offers
  5. 05Seller, brand and category insights
  6. 06Free warehouse queries without signup

Use cases

  1. 01Compare products by price and rating
  2. 02Check an item’s price and stock history
  3. 03Find current offers and Buy Box sellers
  4. 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.

Endpointhttps://api.logimu.com/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

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
ParameterTypeRequiredDescription
asinstringYes10-character Amazon ASIN, or a numeric Walmart item ID when country=walmart. Provide either asin or gtin.
gtinstringNoGTIN / 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.
modeenumNocache = 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
trackbooleanNoAnswer 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.
countryenumNoMarketplace 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
intervalenumNoWith track=true: how often the lane re-reads the all-offers page (1h = 24 snapshots a day).1h | 2h | 4h | 12h | 24h
bsr_historybooleanNoAttach 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_onlybooleanNoReturn 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_usedbooleanNoInclude 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_daysintegerNoHow old a cached observation may be before mode=auto triggers a live scrape.
offer_historybooleanNoAttach 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_pointsintegerNoWith 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_sellersintegerNoWith 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 README

Logimu 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

ClientHow
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 Codeclaude 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 MCPAdd 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

ToolUse whenReturnsLane
shopping"best X", "find me Y under $Z" — you want a shortlistRanked, grouped products (category or Budget/Mid/Premium tiers) with real ratings, prices, stock, observed_at stamps + brand facets, in ~100msFree: 1 of 30 daily
productYou 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
searchFiltered structured lists — price/rating/review/BSR/FBA filters, sortingUp to 25 rows on the free lane, across all 11 Amazon marketplaces plus Walmart USFree: 1 of 30 daily
serpThe live Amazon search-results page for a query, right nowOrganic grid, sponsored and video blocks, refinements, pagination — a real fetch, secondsAPI key: 1 credit per page fetched
bestsellersWhat sells best in a category right now; Amazon's best-seller category treeUp 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 minAPI key: 1 credit per page of 50 (top 100 = 2), root list free
offersWho sells a product right now, at what price; the cheapest new or used offer; the buy-box winner this minuteEvery 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 fetchAPI key: 0.5 credit when an offer is listed; no offers, a miss or a failed fetch free
dealsWhat 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 todayAmazon'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 minAPI key: 1 credit per page fetched (up to 120 deals a page); an empty page or a failed fetch free
sellerA seller id — rating and feedback history, the storefront, the brands it was observed winning the buy box on, connected sellersStored profile (0.5) or live (1), +0.5 history; storefront pages 1 each; brands / network blocks +1Paid plan
brandWho sells a brand, how contested / Amazon-dominated / FBA-heavy it is, its seller mapBrand dossier from observed buy-box data (1), +0.5 history, +1 per sellers page, +1 for the network of brands sharing sellersPaid plan
categoryHow big / competitive / Amazon-dominated a category is, which brands lead itCategory landscape by id (1, +0.5 history); the name lookup is freePaid plan
market_listsDiscover rather than look up — brands gaining or losing sellers, the biggest operators, categories ranked25 rows per page, 1 credit per pagePaid plan
keywordsAmazon'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 marketplaces1 credit per lookup or compare, +0.5 with historyPaid plan
keyword_rankingsPage 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 figures1 credit a keyword, +0.5 with historyPaid plan
product_keywordsReverse 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 only1 credit per 25 keywords per ASIN, +0.5 with historyPaid 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)
Queries30 / dayCredit-metered — subscriptions from $19/month, one-time credit packs, unconditional 14-day money-back
DataWarehouse 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
SignupNoneapi.logimu.com
  • Every record carries an observed_at timestamp — 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


© 2026 Logimu · A service of CP Development doo · Not affiliated with Amazon or Walmart.

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