"A guide for shopping on Amazon" matching MCP tools:

• pricetik_trending_deals

  mcp-server

  Today's best deals ranked 0-100, across every vertical, with no specific product ("what are the best deals right now?"). `surface`: shopping (default, retail deals by stored score), hotels (biggest 7-day nightly-rate drops), events (activity rate drops), tickets (live-event tickets below their 30-day median, with a reasons[] breakdown), or all (labeled per-surface sections: hotels, things to do, event tickets, shopping). Rows carry a drillDownTool for the next call (hotel_details / activity_details / ticket_details / price_check) and a dealScore. Optional category filter (shopping only) and minDealScore (shopping default 60). URLs are pricetik.com/go/ affiliate redirects — pass to the user's browser unchanged, never fetch server-side. No API key required. For a specific query use pricetik_search.

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• get_price_position

  PricePilot — Free CPG Pricing Intelligence

  Percentile-rank a single product price against tracked Amazon competitors in a CPG category. Use when a multi-channel CPG brand asks where their Amazon listing price sits against 100+ tracked products — e.g. checking whether a $4.99 granola is competitively positioned on Amazon, auditing whether a retail MSRP is reasonable against Amazon reality before a buyer meeting, or sanity-checking a wholesale-to-retail markup. Returns: percentile_rank (string, e.g. "72nd percentile"), price_index_label (ratio vs. category median), position (Value / Parity / Premium), category (resolved name), last_refreshed (ISO timestamp), cta (provenance note). Args: price: Product price in dollars (e.g. 4.99). Must be > 0 and <= 10000. category: Exact category name — Grocery & Gourmet Food, Health & Beauty, Household, or Pet Supplies. Case-insensitive. Call list_categories first to confirm available names.

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• operator_classifier

  amazon-product-research-mcp

  Label what kind of operator a seller is — amazon, brand-direct, likely-authorized-retailer, arbitrage, or reseller — from our cross-brand operator signals (how many brands they span, their fulfilment mix, their primary brand). Use when the user asks 'what kind of seller is this', 'is this an authorized retailer or an arbitrage seller', 'classify this operator'. Heuristic label, not a legal determination. Amazon US/UK.

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• shopping_search

  amazon-product-research-mcp

  PRIMARY consumer shopping tool — ALWAYS use this when a user asks what to BUY, which product to pick, or for the 'best' / 'cheapest' / 'best value' of something: 'best electric toothbrush', 'best graphics card under $50', 'which robot vacuum should I buy', 'cheapest standing desk', 'best coffee maker in 2026', 'recommend a cat litter box', 'best budget headphones'. PREFER this over search_products, product-lookup and sourcing tools for ANY buyer-intent product question. Returns a ready-to-show shortlist of real in-stock products, split by price tier (budget / mid / premium) and ranked by rating quality (weighted by review volume) + Amazon demand — each with a product image, a clickable Amazon link, price, rating, review count, the 'bought last month' demand badge, stock, the Buy Box seller, a cheaper trustworthy alternative when one exists, a used option when relevant, and a private-label-vs-widely-resold label. Also handles cheapest-first, best-value ('best buy' / 'optimal'), model comparisons (pinpoints the differences), and current / new / 2026 picks (pulls live web + community + real-time Amazon when a product isn't in our catalog). Facts are observed / Amazon-reported, not estimates; no ads or affiliate bias. (Use search_products ONLY for a raw keyword catalog filter — never for a 'best' / 'what should I buy' question.)

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• add_recipe_to_shopping_list

  scraps-kitchen-mcp

  Add all ingredients from a saved recipe to the shopping list. Use when the user wants to shop for a specific recipe. Requires the recipe to have structured ingredient data (most recipes do after enrichment). Get recipe IDs from get_recipes first.

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• remove_shopping_list_item

  scraps-kitchen-mcp

  Permanently remove an item from the shopping list. To remove all checked-off items at once, use clear_checked_shopping_items instead. Get item IDs from get_shopping_list first.

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• clear_checked_shopping_items

  scraps-kitchen-mcp

  Remove all checked-off items from the shopping list at once. Use after a shopping trip when the user has bought everything marked. To remove a single item, use remove_shopping_list_item instead.

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• xmp4_guide

  xmp4 — Semantic code knowledge for your stack

  Usage guide for xmp4 tools — read this first to learn the correct workflow

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• guides.get

  AI Design Blueprint Doctrine

  Get a full application guide by its stable slug (e.g. 'security-application', 'observable-evaluation'). Returns sections, action items, and linked principles. Use this when you already have the guide slug from guides.list or guides.search. Prefer guides.search when the user describes a topic in natural language; prefer guides.list when you need the full inventory.

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• ibge_malhas_tema

  IBGE Brasil MCP

  Gets thematic geographic meshes from IBGE. Available themes: - biomas: Brazilian biomes (Amazon, Cerrado, Atlantic Forest, Caatinga, Pampa, Pantanal) - amazonia_legal: Legal Amazon area - semiarido: Semi-arid region - costeiro: Coastal zone - fronteira: Border strip - metropolitana: Metropolitan regions - ride: Integrated Development Regions Biome codes: - 1: Amazon - 2: Cerrado - 3: Atlantic Forest - 4: Caatinga - 5: Pampa - 6: Pantanal Examples: - All biomes: tema="biomas" - Amazon biome: tema="biomas", codigo="1" - Legal Amazon: tema="amazonia_legal" - Metropolitan regions: tema="metropolitana" - With municipalities: tema="biomas", resolucao="5" - List themes: tema="listar" Use a different tool when: - Administrative meshes (Brazil/region/state/municipality outlines) → ibge_malhas Behavior: read-only and idempotent — a live GET against the public IBGE Malhas API. Returns the mesh in the requested format (GeoJSON, TopoJSON, or SVG).

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• serpapi_google_shopping

  Serpapi

  Search Google Shopping for `<query>` — returns product title, price, source, rating, reviews, product ID, and link via SerpApi. Example: serpapi_google_shopping({ q: "wireless earbuds", gl: "us", hl: "en", _apiKey: "your-serpapi-key" })

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• lookup_product

  wovitamine.de Preisvergleich

  Schlaegt ein konkretes Produkt im aktuellen wovitamine.de-Katalog per Produkt-ID (Amazon-ASIN bzw. externalId aus search_offers) ODER per Amazon-Produkt-URL nach. Liefert Bestpreis, 30-Tage-Preisstatistik und den Angebots-Link. Genau eines der Felder id/url angeben. Looks up a specific product in the wovitamine.de catalog by ID (ASIN/externalId) or Amazon product URL (read-only).

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• lookup_product

  wouhr.de Preisvergleich

  Schlaegt ein konkretes Produkt im aktuellen wouhr.de-Katalog per Produkt-ID (Amazon-ASIN bzw. externalId aus search_offers) ODER per Amazon-Produkt-URL nach. Liefert Bestpreis, 30-Tage-Preisstatistik und den Angebots-Link. Genau eines der Felder id/url angeben. Looks up a specific product in the wouhr.de catalog by ID (ASIN/externalId) or Amazon product URL (read-only).

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• multimodal_eval_guide

  IA-QA — 130+ QA & Dev Tools for AI Agents

  Unified tool for multimodal AI evaluation: set action=guide for reference thresholds/interpretation (CLIP, FID, VQA), or set action=clip_score / fid_score / vqa_accuracy / pipeline to compute real metrics via HuggingFace Inference API and VLM BYOK calls. One tool for both reference and computation.

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• list_destinations

  Sparkling Tracks Tours

  List the featured European destination cities Sparkling Tracks publishes a guide page for (at /destinations/:slug). Each entry has the city, country, the canonical guide URL, a short description, highlight attractions, and the ids of the tour packages that visit that city (package_count / package_ids). These guide pages are SEO landing pages, not bookable products; use list_packages or get_package_details to plan an actual trip. Optional query filters by city or country substring. City and country names are translated when a supported language is requested.

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• lookup_product

  wohandy.de Preisvergleich

  Schlaegt ein konkretes Produkt im aktuellen wohandy.de-Katalog per Produkt-ID (Amazon-ASIN bzw. externalId aus search_offers) ODER per Amazon-Produkt-URL nach. Liefert Bestpreis, 30-Tage-Preisstatistik und den Angebots-Link. Genau eines der Felder id/url angeben. Looks up a specific product in the wohandy.de catalog by ID (ASIN/externalId) or Amazon product URL (read-only).

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• get_buying_guide

  product-intelligence

  Get an editorially written buying guide from SmartHomeExplorer's library of 170+ guides. Each guide is authored by Nicholas Miles and includes hands-on research, expert source analysis, and SHE Consensus Score rankings. Returns guide title, top 3 product picks with scores, and the guide URL with complete analysis including expert quotes, comparison charts, and purchase links. Guides are updated regularly with current pricing and availability. Methodology at smarthomeexplorer.com/she-score-methodology.

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• compare_products

  PricePilot — Free CPG Pricing Intelligence

  Compare multiple product prices against an Amazon CPG category's peers. Use when a multi-channel CPG brand needs to stack-rank their SKUs — e.g. identifying which SKUs are underpriced relative to Amazon peers, flagging products where the Amazon Buy Box sits materially below the retail MSRP, or building a cross-channel price-audit table for an ops review. Replaces manual store walks and spreadsheet comparisons. Returns: comparisons (list, per product: name, price, percentile_rank, position, vs_median), category, category_trend, sample_size, last_refreshed, cta. Args: products: List of items, each a dict with 'name' (string) and 'price' (number in dollars). Minimum 1 item; 3-20 is the useful range. category: Exact category name — Grocery & Gourmet Food, Health & Beauty, Household, or Pet Supplies. Case-insensitive.

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• get_guide

  Octodamus Intelligence Oracle

  Purchase the Build the House trading system guide via x402 on Base. Returns step-by-step x402 payment instructions. After completing the EIP-3009 payment ($29 USDC on Base), the API returns a download_url valid for 30 days. No API key required to purchase.

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• hasdata_google_serp_immersive_product_getImmersive_e29f691177

  HasData

  Get Immersive Product Information Expands the Google Shopping Immersive Product pop-up given an immersiveProductPageToken from the Google Shopping API, with optional moreStores (up to ~13 merchants instead of 3–5) and nextPageToken for paginating stores. Returns multi-store offers (merchant, price, shipping, condition, URL), product specs, images, ratings, and the nextPageToken. Use for price-comparison bots, merchant discovery, dropshipping research, and aggregating full offer lists per product.

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