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373,678 tools. Last updated 2026-08-02 15:45

"Amazon Alexa" matching MCP tools:

  • Get detailed KDP niche intelligence for a specific keyword. Returns demand score, competition score, Amazon BSR range, estimated monthly revenue, review threshold, average book pricing, and data freshness for the given Kindle publishing niche. Pricing tiers (x402 USDC on Base network): - $0.03 per query for cached/pre-seeded keywords - $0.10 per query for live on-demand research (new keywords) Use the free `list_niches` tool first to see available keywords. Payment options: 1. Set the KDP_X_PAYMENT environment variable on the server for auto-pay. 2. Pass a valid x402 payment header via the x_payment argument. 3. If neither is set, the tool returns structured 402 payment instructions that an x402-capable agent can use to construct and retry payment. Args: keyword: The KDP niche keyword to research (e.g. "romance novels", "keto cookbook") x_payment: Optional base64-encoded x402 payment header. Takes precedence over the KDP_X_PAYMENT environment variable.
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  • Pass exactly ONE of {query} or {category_slug}. Searches Amazon (com|co.uk|de|fr|es|it) and returns ranked hits with buybox price (gross + VAT-excluded net), ratings, review counts, and ASINs. Drill down with glim_amazon_get(ref). Set sort_by='most_reviewed' (with min_reviews to filter junk) for a trust-weighted re-rank within the current page. Compact text by default; pass format='json' for full structured data.
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  • Search affiliate shopping products and get ranked recommendations. Only `query` is required — a natural-language description of what the shopper wants (e.g. "a warm waterproof jacket for winter hiking"). Add fields to narrow results: - keywords: exact product terms. Use a SPECIFIC product type ("women running shoes", "stainless steel knife set"), not a bare generic noun ("shoes", "knife") — a generic keyword can surface the wrong audience. Audience/occasion go in `query`. - commerce_l2s: category ids to restrict to (read the `commerce://categories` resource for valid values — that taxonomy is for shopping only). - max_price / min_price: price band (USD). platforms: ["amazon"|"walmart"] (empty=all). - intent: ranking preset — "cheapest" | "best_discount" | "top_rated" | "best_value". - require_commission: only return products that pay a commission (default: server setting, normally on). Pass false to include zero/unknown-commission products. - limit: max results (default 10). `agent_id` is REQUIRED: your registered, active agent id. It is the attribution key and the access key — a missing/blank or unregistered agent_id is rejected (no anonymous use). Returns {count, products:[{offer_id,title,brand,price,rating,...,buy_url,product_url}]}. Each product's `buy_url` is ALREADY the trackable affiliate buy link — hand it to the shopper directly. (`product_url` is the plain product page.) There is no separate resolve/click step.
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  • Filtered query over the tracked-product warehouse (17M+ Amazon and Walmart products). USE WHEN the user wants a structured list matching explicit criteria: 'well-rated dehumidifiers under $150 with 1000+ reviews', 'everything by brand X sorted by BSR', 'FBA products in this category'. DON'T USE for 'best X' buying advice (use shopping, which ranks and groups), or for a single known product (use product). RETURNS a flat list of matching products with product_id (the ASIN on Amazon, the numeric item ID on Walmart), product_url, title, brand, price, rating, review count, BSR, seller count and marketplace, ordered by the sort field. Requires an anchor: pass q or brand. Cite product_id when the user may want to act on a specific row, and pass it to the product tool for that item's full history. Every response row is observed marketplace data (the marketplace field names it). COVERAGE the continuously tracked BSR product universe, not the entire Amazon catalog. COST free lane 1 of 30 daily queries, capped at 25 rows. Keyed: 1 credit per 25 rows returned. Empty result sets are never billed.
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  • Report the 30-day Amazon price-trend direction for a CPG category. Use when a pricing ops lead asks whether category pricing is rising, stable, or falling — e.g. setting retail promo calendar against an Amazon backdrop, deciding whether to raise wholesale prices during inflationary windows, or catching a price war before it spills into their channel. Returns: trend_direction (Rising / Stable / Falling / Insufficient Data), trend_window ("30 days"), confidence (note with product count), category (resolved name), last_refreshed, cta. Args: category: Exact category name — Grocery & Gourmet Food, Health & Beauty, Household, or Pet Supplies. Case-insensitive.
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  • 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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  • Validate Amazonbot and Amzn-SearchBot IP addresses. Remote MCP validate_ip tool.

  • Amazon product search demand over time, with growth for any keyword. Free key at trendsmcp.ai

  • Comprehensive email domain health check: MX routing, SPF authentication, DKIM signing, DMARC policy enforcement, DNSBL blacklist status (Spamhaus/SpamCop/Barracuda), TLS certificate validity, and WHOIS registration age. Aggregates a reputation score 0-100 and generates P0/P1/P2 deliverability signals. Accepts a domain (stripe.com) or email address (info@stripe.com). Detects role-based addresses (info@, support@, admin@, noreply@) that have higher bounce rates. Detects email provider (Google Workspace, Microsoft 365, Amazon SES, etc.). P0 signals: blacklisted / no MX / TLS expired / no SPF + DMARC none. P1 signals: SPF soft-fail / no DKIM selector / DMARC no reporting. P2 signals: role-based address / TLS expires <30d / domain age <90 days. All checks are keyless (no API keys required). Cache TTL 1h. SLA <=10s p95.
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  • Comprehensive email domain health check: MX routing, SPF authentication, DKIM signing, DMARC policy enforcement, DNSBL blacklist status (Spamhaus/SpamCop/Barracuda), TLS certificate validity, and WHOIS registration age. Aggregates a reputation score 0-100 and generates P0/P1/P2 deliverability signals. Accepts a domain (stripe.com) or email address (info@stripe.com). Detects role-based addresses (info@, support@, admin@, noreply@) that have higher bounce rates. Detects email provider (Google Workspace, Microsoft 365, Amazon SES, etc.). P0 signals: blacklisted / no MX / TLS expired / no SPF + DMARC none. P1 signals: SPF soft-fail / no DKIM selector / DMARC no reporting. P2 signals: role-based address / TLS expires <30d / domain age <90 days. All checks are keyless (no API keys required). Cache TTL 1h. SLA <=10s p95.
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  • Return the full metric set for ONE category at any depth — a root OR a sub-category niche like 'Terrariums'. Covers demand (30-day revenue, units, velocity tier), competition (heat, diversity, brand/ASIN/seller counts), Amazon presence (retail dominance, private-label share, FBA penetration, 90-day brand expansion), price, ship-by days, and close-outs. Use for 'show me the metrics/stats for category X', 'how big is the X category', or to pull the numbers behind a niche question.
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  • One Box: resolve ANY physical-media identifier in one call — auto-detects the type (Library of Congress LCCN, ISBN-10/13, CD DIDX hub code, label catalog number, UPC/EAN barcode, vinyl matrix/runout etching) and returns ranked typed candidates across NMLP's 48M-record indexes (20.9M LCCN + 8.7M CD + 19M vinyl). ISBN input returns the exact Amazon listing link (ASIN=ISBN-10), never a title search. Misses return Attested Absence: exactly which indexes were checked at what dataset version, so 'not found' is usable evidence. Use this when you don't know what kind of number you have; use the specialized lookups when you do. Identification only — does NOT appraise or value items; NMLP never buys books. Human tool: https://newmexicoliteracyproject.org/lookup
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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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  • Fetch structured Amazon product data by ASIN via the Oxylabs Web Scraper API — Amazon structured scraping: title, price, currency, rating, reviews count, stock/availability. Calls are synchronous proxying and can take 10-30 seconds. BYOK: _apiKey is "username:password" from the Oxylabs dashboard. Example: oxylabs_amazon_product({ asin: "B08N5WRWNW", domain: "com", _apiKey: "myuser:mypass" })
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  • A deterministic assembler that turns your return window, shipping-payer choice, restocking fee, refund methods, conditions, and non-returnable items into ready-to-review policy copy for Amazon US, Walmart US, Shopify, or eBay US. PAID SKILL: $0.25 USD per call; this server never runs paid work for free, and calling this tool returns payment instructions only. Pay per call with x402 (POST https://friday-seller-tools-production.up.railway.app/v1/policies/return-policy and settle the 402 challenge in USDC) or buy with a card at https://friday-seller-tools-production.up.railway.app/buy?service=return_policy_generator. Free sample output: https://friday-seller-tools-production.up.railway.app/v1/examples/return_policy_generator.
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  • Return pricing-tier breakdown and category stats for an Amazon CPG category. Use when a brand is sizing up a shelf — e.g. evaluating whether a new SKU should enter at budget / midmarket / premium tier, benchmarking their retail pricing against Amazon tier structure, or preparing for a retail buyer meeting that will ask "what's the typical shelf price here?". Returns: category (resolved name), product_count (bucketed, e.g. "100+ products"), price_tiers (dict with budget / midmarket / premium dollar bands, rounded to nearest $0.50 for abstraction), median_price, trend_direction, last_refreshed, cta. Args: category: Exact category name — Grocery & Gourmet Food, Health & Beauty, Household, or Pet Supplies. Case-insensitive.
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  • 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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  • BULK report of key Amazon stats for the user's WHOLE watchlist in ONE call — every tracked ASIN in the workspace's sourcing watchlist for a marketplace, in a single pass. Use this report instead of looping a per-ASIN tool over the whole watchlist. Each tracked ASIN returns its composite sourcing score, distinct seller count, buy-box leader share, fulfillment (FBA/FBM/AMZ with amz/fba pct), product brand/title and price (or price range). Also returns a top-level summary across the whole watchlist (tracked total, scored count, average score, score buckets, Amazon-dominant / FBA-dominant counts, single-seller vs high-competition counts). Use when the user asks 'show stats for my whole watchlist', 'summarize my watchlist', 'which of my tracked ASINs are single-seller / Amazon-dominant / high-competition', 'score distribution of my watchlist', or any bulk watchlist overview. One call covers the entire watchlist — do NOT call a per-ASIN tool in a loop.
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  • List the Amazon storefronts (competitor sellers) the user is monitoring. Call before adding one, or when the user asks which storefronts they track.
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  • Findet E-Roller zum guenstigsten aktuellen Preis in Deutschland (EUR) ueber Amazon, eBay und AliExpress — Preisvergleich woroller.de. Nutze dieses Tool, wenn ein Nutzer nach Preis, Angebot, "guenstig", "wo kaufen" oder einem konkreten E-Roller fragt. Durchsucht ~150 Produkte, filterbar per Suchbegriff, Marke und Preisspanne. Liefert je Produkt: Titel, Bestpreis, Marke, Bild, 30-Tage-Preistrend (priceStats.isLowest30d = aktuell guenstigster Stand), domain-spezifische Attribute (attributes, z.B. Leistung/Speicher/Farbe), einen direkten Kauf-Link (url) und eine zitierfaehige Produktseite (detailUrl). Die Antwort enthaelt zusaetzlich facets (verfuegbare Filterwerte) zum Verfeinern. Read-only, Kauf beim verlinkten Haendler (Affiliate, Preis unveraendert). Finds the cheapest current price in Germany for E-Roller across Amazon, eBay and AliExpress; returns best price, price trend, filter attributes and a direct link.
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  • Normalizes a batch of catalog products (attribute canonicalization/extraction + category-path mapping into the requested target taxonomies: google, shopify, amazon). Returns one result per input product, same order: a NormalizedProduct on success, or { error, source_title } if that specific product's classification failed — one product's failure never voids the rest of the batch. attributes is keyed by a controlled vocabulary (size, color, material, gender, sleeve_length — unrecognized keys are dropped, not passed through under a model-chosen name) and each value carries provenance: "canonicalized" means it came from your own raw_attributes input for that product (deterministic cleanup only, no recall); "extracted" means the model inferred it from the title/description and it wasn't in your input — treat extracted values as a suggestion, not a confirmed fact about the product, the same way you'd treat a low-confidence category_paths entry. category_paths for google and shopify is retrieval-grounded against the real, current taxonomy files (not recalled from memory) — measured at 22/24 (91.7%) exact path+leaf_id matches on a 12-product evaluation set; amazon has no comparable public reference file, so it stays best-effort. Each entry's confidence (0-1) and leaf_id (null when not confident it matches a real node) are the honest signal regardless of taxonomy — treat a low-confidence or null-leaf_id result as a suggestion worth a quick human check, not a confirmed classification.
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  • Check the health and destination of a URL (link checker / redirect resolver). Follows the redirect chain, returns the final resolved URL, HTTP status codes, page title, and — for Amazon and AliExpress product pages — whether the product is still available (in stock / not deleted). Use this tool when the user needs to: - Verify an affiliate or product link still works (not broken / 404 / dead) - Resolve where a short or redirecting link actually lands - Check whether an Amazon/AliExpress product is still available - Inspect the redirect chain of a URL Returns: finalUrl (str): The final URL after following all redirects title (str): The destination page's title (or empty string) redirectChain (list[str]): URLs visited, in order responseCode (str): Final HTTP status code (e.g. "200", "404") lastRedirectResponseCode (str): Status of the last redirect hop, if any available (bool | null): True/False for Amazon/AliExpress product pages, null when availability is not applicable Powered by Affilio.link — smart affiliate link management.
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