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675,071 tools. Updated 2026-10-19 02:55

"Amazon Pay" matching MCP tools:

  • Check which of the 11 Amazon marketplaces a keyword was observed in Amazon's own autocomplete suggestions, with first/last observed dates and an example current suggestion-list position per marketplace. Use when a seller asks 'does anyone type X on Amazon Germany/Japan/…', compares keyword presence across countries, or plans a marketplace expansion (pair with brand_xmarket / operator_xmarket_presence). Exact-keyword match — not volumes, not rankings. Amazon marketplaces only.
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  • Fetch a LIVE Amazon search-results page (SERP) right now — the ranked organic + sponsored listings a shopper would see this minute for a query, with position, ASIN, title, price, rating and badges. Use when the user wants CURRENT ranking/visibility: 'who ranks for "dog bed" on Amazon right now', 'is my ASIN on page 1 for this keyword', 'what's sponsored vs organic for this search'. This is a real-time fetch (takes ~10-40 seconds) — for warehouse keyword search use search_products; for buying advice use shopping_search. Amazon marketplaces only; up to 3 pages per call.
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  • Aggiorna una o PIÙ campagne Sponsored Brands (SB) ESISTENTI: budget giornaliero, stato (ENABLED|PAUSED) e OTTIMIZZAZIONE DELL'OFFERTA. Per ottimizzare senza tagliare volume NON strozzare il budget: usa i moltiplicatori per posizionamento con patches.bid_adjustments_by_placement=[{placement, percentage}] — placement (enum verificato): TOP_OF_SEARCH | DETAIL_PAGE | HOME | OTHER (alias comodi: top, detail_page, home, other); percentage = aumento % dell'offerta su quella posizione, SOLO valori positivi (0 o più): dal 15/6/2026 Amazon NON accetta più moltiplicatori SB negativi e il tool li rifiuta prima di chiamare Amazon. Per spendere meno su una posizione abbassa i bid di keyword/target (ads_update_sb_keyword_bid/ads_update_sb_target_bid) e alza le altre posizioni. Passare i moltiplicatori implica bid_optimization=false (ottimizzazione Amazon spenta — richiesto da Amazon); con bid_optimization=true/AUTO ottimizza Amazon e i moltiplicatori non servono. SINGOLA: campaign_id + patches. BATCH: items=[{campaign_id, daily_budget?, state?, bid_adjustments_by_placement?}], MAX 25. Esito verificato per-id e PER-PLACEMENT (read-after-write). NON crea campagne nuove.
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  • Amazon's results page for a search: organic and sponsored products in order, with price, rating, reviews, bought-past-month and badges. Use when: "who ranks on Amazon for standing desk", "which brands buy Amazon ads for this search", "what do top products in this category cost". Not for: one product's full listing, use amazon_get_product. Google Shopping, use shopping_search_products. Amazon search volume, use amazon_get_keyword_metrics. Returns: Record. keyword, results_count, rows[]: rank, type (organic | sponsored), asin, title, url, image_url, price, price_to, currency, rating, ratings_count, bought_past_month, is_amazon_choice, is_best_seller, offers[] (badges). related_searches[] (can be empty). Cost: 2 credits per 100 results. Default 100 = 2 credits. Cached 1 day. Example: {"keyword": "standing desk", "depth": 100}
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  • Amazon searches one product ranks for, with monthly Amazon search volume and its position, organic or sponsored. Use when: "what does this ASIN rank for on Amazon", "which searches bring competitor's product its sales", choosing keywords for a listing title. Not for: Google rankings, use seo_get_ranked_keywords. New keyword ideas, use amazon_search_keywords. Returns: List. rows[]: keyword, volume (monthly Amazon searches), rank (position on the results page, counting organic and sponsored rows), type (organic | sponsored), results_count. Sorted by volume, biggest first. Cost: 5 + 5 per 100 rows. Default 100 rows = 10 credits. Cached 7 days. Example: {"asin": "B0B41YH9B6", "limit": 50}
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  • Monthly Amazon search volume for up to 1,000 keywords you already have, in the order given. Use when: "how many people search Amazon for X", comparing Amazon demand with Google demand, sizing a product idea on Amazon. Not for: Google volume, use seo_get_keyword_metrics. Finding keywords, use amazon_search_keywords. Returns: List. rows[]: keyword, volume (monthly Amazon searches; null = no data). Cost: 5 + 5 per 100 keywords. 10 keywords = 6 credits. Cached 7 days. Example: {"keywords": ["standing desk", "desk converter"]}
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Matching MCP Servers

Matching MCP Connectors

  • Amazon keyword search, product details, seller profiles and seller catalogues, as structured JSON.

  • Let agents verify the seller and pay Billify invoices with x402 (USDC on Base).

  • 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).
    ConnectorNo auth
  • List upcoming seller-facing deadlines on Amazon, Shopify and/or TikTok Shop, soonest first. Use for "any Amazon deadlines coming up", "what do TikTok Shop sellers need to do before month end". Deadlines come from curated official announcements (API sunsets, policy compliance dates, fee effective dates); past deadlines are excluded server-side. Free-form deadlines ("rolling") sort after dated ones. Args: platform: Optional platform slug — amazon, shopify or tiktok-shop. Empty = all platforms. Returns {generated_at, as_of, platforms, total, deadlines:[{id, platform, deadline, title, summary, effectiveAt, originalUrl, ...}]}. `as_of` is the server-side cutoff date used. Cite each record's originalUrl.
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  • Audit compliance/GPSR del catalogo (EU/IT). Per ogni SKU verifica gli attributi compliance REALI del suo product type (schema-aware): manufacturer, rtip_manufacturer_contact_information (contatto fabbricante), country_of_origin, safety_warning, safety_data_sheet_url e — dove il product type li prevede — i GPSR: gpsr_safety_attestation, gpsr_manufacturer_reference, dsa_responsible_party_address (responsabile EU). Incrocia gli ISSUE Amazon a tema compliance (Amazon dice cosa manca/è rifiutato). Ritorna gli SKU con gap, priorità (alta = issue ERROR Amazon o GPSR mancante), conteggi per attributo e i gap più frequenti. Flagga "mancante" SOLO se il product type prevede davvero l'attributo. NB: i numeri EPR (Francia / LUCID DE / RAEE-batterie) sono a livello ACCOUNT in Seller Central → Conformità, NON attributi listing: SP-API ne legge l'alert ma non li imposta. Per correggere usa update_listing. READ-ONLY. mode="full" = verifica TUTTI I REQUISITI del product type: ogni attributo `required` dello schema Amazon della categoria (inclusi i requisiti di categoria, es. pharma/parafarmacia) + TUTTE le issue Amazon di qualsiasi categoria. Usa mode="full" quando l'utente chiede di verificare "tutti i requisiti di conformità" dei prodotti; il default (standard) resta il check rapido compliance/GPSR.
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  • Create an idempotent, auditable write intent to change the state of one or more EXISTING product ads: enable, pause, or archive (archiving is dispatched as an Amazon delete, not a state PUT). ad_id must be the Amazon product ad's own id (not its ASIN or its ad group id); a request for a state the ad is already in is rejected at prepare time. Nothing changes on Amazon or in Sellantica until the returned request is confirmed via approve_write_v1 and then execute_write_v1. The preview states `will_dispatch`: true means execute_write_v1 sends it to Amazon, false (execution_mode PREVIEW_ONLY) means it is recorded and never sent. To create a brand-new product ad instead of changing an existing one's state, use prepare_product_ad_create_v1.
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  • Create an idempotent, auditable write intent to permanently remove one or more EXISTING negative keywords or negative product (ASIN) targets. negative_id is the Amazon target id of the negative itself (not the positive target, campaign, or ad group id it lives under). Nothing changes on Amazon or in Sellantica until the returned request is confirmed via approve_write_v1 and then execute_write_v1. The preview states `will_dispatch`: true means execute_write_v1 sends it to Amazon, false (execution_mode PREVIEW_ONLY) means it is recorded and never sent. To add a new negative instead of removing one, use prepare_negative_create_v1; to change a POSITIVE target's bid or state, use prepare_target_bid_v1 instead.
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  • Amazon search ideas around a seed, from Amazon's related searches, with monthly Amazon search volume. Use when: "what else do people search on Amazon around X", building an Amazon keyword list for a listing or ads. Not for: Google keyword ideas, use seo_search_keywords. Volume for keywords you already have, use amazon_get_keyword_metrics. Returns: List. rows[]: keyword, volume. Cost: 5 + 5 per 100 rows. Default 100 rows = 10 credits. Cached 7 days. Example: {"seed": "standing desk", "limit": 50}
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  • Amazon Best Sellers list for one category, as Amazon shows it now: up to 100 products in rank order (rank, ASIN, title, price, rating, ratings count), the category's full breadcrumb path, and its subcategories with their URLs. With only marketplace_id (no url) it returns the marketplace's top-level best-seller categories, so you can walk the tree: root -> category -> subcategory, always with a URL from a previous answer. Use when the user asks what sells best in a category right now or wants a top-100 list. For keyword searches use amazon_search_results or search_products. Fresh lists take 15-35 seconds; Amazon refreshes them hourly, so recent lists return instantly. Amazon marketplaces only.
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  • Schlaegt ein konkretes Produkt im aktuellen wokonsole.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 wokonsole.de catalog by ID (ASIN/externalId) or Amazon product URL (read-only).
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  • Returns the department and subcategory values amazon-charts accepts for a given chart. Omit department to list a chart's top-level departments; pass a department (and optionally a node) to get that category's own name plus its immediate child categories. Use amazon_charts to retrieve amazon product charts.
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  • Returns the department and subcategory values amazon-charts accepts for a given chart. Omit department to list a chart's top-level departments; pass a department (and optionally a node) to get that category's own name plus its immediate child categories. Use amazon_charts to retrieve amazon product charts.
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  • Allow / hold / forbid for one intended Amazon Ads MCP tool call, before it runs. Needs your MolTrust API key as the X-API-Key header of the MCP connection (free key: POST https://api.moltrust.ch/auth/signup). Counts against your plan like any check. Never send Amazon credentials: they are refused. Args: profile: the `profile` object from ads_mandate_template tool: the Amazon Ads MCP tool name, e.g. campaign_management-update_campaign_budget arguments: the tool arguments exactly as your agent would send them context: your view of the account — campaigns {id: {brand, daily_budget(cents)}}, targets {id: {brand, bid(cents)}}, ad_groups, account_daily_total(cents). Values the check cannot derive count as unknown and end in forbid.
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  • Every seller offering one Amazon product, with price, condition, where it ships from and delivery: who holds the Buy Box and who undercuts it. Use when: "who sells this ASIN", "are resellers undercutting our price", "is Amazon itself selling this". Not for: the listing, use amazon_get_product. Prices across other stores, use shopping_get_sellers. Returns: Record. asin, title, has_featured_offer (false when no seller holds the Buy Box; rows then start at rank 2), rows[]: rank (1 holds the Buy Box), seller, seller_url (null for Amazon itself), ships_from, price, regular_price, currency, discount_percent, condition, delivery. Cost: 2 credits. Cached 6 hours. Example: {"asin": "B0B41YH9B6"}
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  • Fetch full AWS doc pages as markdown. `search_documentation` already returns verbatim page chunks, so don't re-read a URL whose chunk you already have to "confirm" or "round out" an answer -- the chunk is the real page text; treat it as authoritative. Reading the full page is justified ONLY when the chunks genuinely lack the content: - an enumeration or aggregation ("list all X", "how many X") needs the complete set and the chunks show only part of it; - no search result is on-topic after refining the query, and a known doc URL would have the answer. Otherwise, answer from the chunks. Use exact URLs from `search_documentation`; don't guess slugs. Input: `requests: [{url, max_length?, start_index?}]`. Batch 2-5. - `max_length` default 10000. - `start_index` default 0; use prior `end_index` to continue, TOC offset to jump. Allow-listed prefixes: docs.aws.amazon.com; aws.amazon.com (not /marketplace); repost.aws/knowledge-center; docs.amplify.aws; ui.docs.amplify.aws; github.com/{aws-cloudformation/aws-cloudformation-templates, aws-samples/{aws-cdk-examples, generative-ai-cdk-constructs-samples, serverless-patterns}, awsdocs/aws-cdk-guide, awslabs/aws-solutions-constructs, cdklabs/cdk-nag} (README on `main`); constructs.dev/packages/{@aws-cdk-containers, @aws-cdk, @cdk-cloudformation, aws-analytics-reference-architecture, aws-cdk-lib, cdk-amazon-chime-resources, cdk-aws-lambda-powertools-layer, cdk-ecr-deployment, cdk-lambda-powertools-python-layer, cdk-serverless-clamscan, cdk8s, cdk8s-plus-33}; strandsagents.com/latest/documentation/docs/; karpenter.sh/docs/; Amazon Braket: {amazon-braket-sdk-python, amazon-braket-schemas-python, amazon-braket-default-simulator-python, amazon-braket-pennylane-plugin-python, amazon-braket-algorithm-library, qiskit-braket-provider, autoqasm, qirtoqasm}.readthedocs.io and github.com/amazon-braket/* (blob/tree/raw). Output: SUCCESS -- markdown + `total_length, start_index, end_index, truncated, redirected_url?` (truncated includes TOC with char ranges). ERROR -- `error_code` in {not_found, invalid_url, throttled, downstream_error, validation_error}.
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  • Use to vet sellers: name, rating and feedback counts as Amazon displays them. Returns the storefront profile for each seller id: business name, rating, feedback counts, address and marketplace presence. Price: $0.0036 per item (max 10). Seller ID validation is all-or-nothing: one malformed id rejects the entire request with 400. Every row in results is an object with `status`: `ok` (the profile), `not_found` (Amazon has no page for that id on this marketplace; billed, like a 404) or `unavailable` (could not be retrieved right now; NOT billed on the keyed path, `retryable: true`). A row is never null. billable_requests_count counts ok + not_found rows; on the pay-per-call rail the per-item quote is settled up front, so retry `unavailable` ids in a separate call rather than expecting a partial refund. On agent.apiguru.app the answer also carries `success` and `_links.self`; `billable_requests_count` is there on your own key only.
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  • Update LIVE Amazon listing content: title, item_highlights (the 125-char searchable companion field - over-cap is refused at staging; Amazon rejects it with issue 90225), bullet_points (full replacement list), description, search_terms (backend keywords, ~249 bytes), and/or price. Single SKU (sku + updates) or items=[{sku, marketplace_id, updates}, ...] (max 25) as ONE staged change. The diff shows current warehouse values before anything is sent; on confirm Amazon PATCHes asynchronously and returns per-SKU status + verbatim issues. Images (W13 P2): main_image + other_images (1-8 gallery slots, in order) — each a public http(s) URL or {staged_file_id: N} from the ppc_asset_upload_link staging flow (Amazon fetches the bytes from AMZ Vault). A+ content comes later. Stages a proposal — NOTHING changes until confirm_staged_changes.
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