Context7
Up-to-date docs for AI agents
Beschreibung vom Entwickler (englisches Original)
Amazon (11 marketplaces) and Walmart US product data: search, prices, stock, history, sellers.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Funktioniert in Claude im Web, auf dem Desktop und auf dem Handy:
https://api.logimu.com/mcpFühre das in deinem Terminal aus
claude mcp add --transport http shopping https://api.logimu.com/mcpIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"shopping": {
"url": "https://api.logimu.com/mcp"
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"shopping": {
"type": "http",
"url": "https://api.logimu.com/mcp"
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
ChatGPT verbindet sich nur mit Servern im Internet:
https://api.logimu.com/mcpMenünamen können sich je nach Tarif und mit der Zeit leicht unterscheiden.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Die Tool-Liste dieses Servers haben wir noch nicht gelesen; wir prüfen die Endpunkte reihum.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 7. Nov. 2026
Der Registry-Name wurde über die Domain logimu.com bestätigt (die Registry prüft, wem die Domain gehört)
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Noch nicht geprüft; wir prüfen die Endpunkte reihum
Noch nicht geprüft; wir prüfen die Endpunkte reihum
Noch nicht geprüft; wir lesen die Tool-Liste, wenn wir den Endpunkt prüfen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 1 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft in der Cloud des Entwicklers. Du verbindest dich übers Internet, ohne etwas zu installieren, aber was du sendest, läuft über die Server des Entwicklers.
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (1.8.0) kam vor 20 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Er verbindet sich per URL, also funktionieren auch Apps, die Remote-MCP-Server akzeptieren, zum Beispiel ChatGPT im Entwicklermodus.
In derselben Kategorie: Context7, Codebase Memory, Exa
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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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