# Amazon MCP Server (`seemuapps/amazon-mcp`) Actor MCP server exposing Amazon tools. Product, search, reviews, seller, global product. For any AI agent or LLM client. - **URL**: https://apify.com/seemuapps/amazon-mcp.md - **Developed by:** [Andrew](https://apify.com/seemuapps) (community) - **Categories:** E-commerce, MCP servers, Agents - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.00005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Amazon MCP Server The all-in-one MCP server for Amazon. Plug any AI agent — Claude, Cursor, ChatGPT, VS Code, or your own — into a single endpoint and pull live data from Amazon: full product detail, search results, reviews, seller storefronts, and listings from any regional Amazon domain. ### What you get - **Full product detail** — title, ASIN, price, currency, rating, review count, seller, brand, availability, main image, description, and category for any amazon.com listing - **Search results** — keyword search across any Amazon domain with configurable pages-per-keyword - **Reviews** — flat per-review records with star rating, headline, body text, author, date, and verified-purchase flag, plus the parent product's totals - **Seller storefronts** — seller name, ID, rating, review count, business name, and registered business address - **Global product detail** — same fields as get-product plus `country_domain`, for any regional Amazon (de, co.uk, co.jp, fr, es, it, ca, com.au, in, com.mx, com.br, etc.) - **Image hosting** — the main image of every product is saved to the run's Apify Key-Value Store and returned as `imageStorageUrl`, so you can embed it in your reply without fighting Amazon's CDN headers - **One endpoint, five tools** — no glue code, no per-tool integrations, no scraping infrastructure to maintain ### Use cases - E-commerce research — pull full catalogs of competitor listings into a sheet for analysis - Price monitoring — track price, availability, and stock signals across products and regions - Review analysis — extract review text in bulk for sentiment, theme, and complaint mining - Competitive intelligence — compare brand/seller positioning, ratings, and assortment - Supplier vetting — verify a third-party seller's storefront, business name, and address before placing orders - AI shopping agents — give an LLM live grounding for product comparison, gift-finding, and buying advice - Cross-region arbitrage — compare the same ASIN across amazon.de, amazon.co.uk, amazon.co.jp, etc. ### Tools exposed | Tool | Returns | |----------------------|-------------------------------------------------------------------------------| | `get-product` | Full product detail for one or more amazon.com URLs | | `search-products` | Ranked search results for one or more keywords on any Amazon domain | | `get-reviews` | Flat list of reviews for one or more product URLs | | `get-seller` | Storefront metadata for one or more third-party seller pages | | `get-global-product` | Full product detail from any regional Amazon domain (de, co.uk, co.jp, etc.) | ### How to use Use Apify's hosted MCP gateway — it generates ready-to-paste config snippets for Claude Desktop, Cursor, VS Code, ChatGPT, and any other MCP-compatible client: **[mcp.apify.com/?tools=seemuapps/amazon-mcp](https://mcp.apify.com/?tools=seemuapps/amazon-mcp)** Open the link, sign in, and copy the snippet for your client. #### Where to get your Apify API token Go to **[console.apify.com/settings/integrations](https://console.apify.com/settings/integrations)** and copy your **Personal API token**. (Sign in or create a free account if you haven't already.) The token authorizes calls to the MCP server and is what Apify uses to bill you for tool calls. ### Pricing (pay-per-event) | Tool | Event | Charged | |----------------------|-------------------------|--------------------------------------------------------| | `get-product` | `product-record` | Once per product successfully returned | | `search-products` | `search-result-record` | Once per search-result item successfully returned | | `get-reviews` | `review-record` | Once per review successfully returned | | `get-seller` | `seller-record` | Once per seller record successfully returned | | `get-global-product` | `product-record` | Once per product successfully returned | Failed batches are not charged. Partial failures (e.g. one bad URL in a batch) are reported in the response without aborting the whole call. ### Notes - Calls to the upstream data provider are **async snapshot-based** — for larger inputs each tool can take **30 seconds to ~2 minutes** to return. Configure your MCP client's timeout accordingly. - All five tools accept a `maxItems` cap (1–1000, default 1000) so you can keep individual calls bounded. - `get-product` and `get-global-product` save each product's main image to the run's Apify Key-Value Store and return a permanent signed `imageStorageUrl` — use that link to embed the image in your reply rather than the raw Amazon CDN URL. - `search-products` defaults to `https://www.amazon.com` but accepts any Amazon domain URL; pair with `pagesToSearch` to pull more than the first results page per keyword. - `get-seller` URLs follow the format `https://www.amazon.com/sp?seller=SELLER_ID`. # Actor input Schema ## `tool` (type: `string`): Pick a tool to run and save results to the dataset, or leave empty to start the actor as an MCP Standby server. ## `urls` (type: `array`): Amazon URLs — required by get-product (product pages), get-reviews (product pages), get-seller (seller pages), and get-global-product (regional product pages). ## `keywords` (type: `array`): Search keywords — required by search-products. ## `domain` (type: `string`): Amazon domain URL for search-products. Defaults to https://www.amazon.com. ## `pagesToSearch` (type: `integer`): Search-results pages per keyword for search-products. ## `zipcode` (type: `string`): US zip code for localized pricing on get-product (optional). ## `language` (type: `string`): Language code (e.g. en_US) for get-product (optional). ## `boughtPastMonth` (type: `integer`): Filter products by minimum units purchased in the past month for get-global-product (optional). ## `maxItems` (type: `integer`): Maximum records to return when running a tool directly (1–1000). ## Actor input object example ```json { "tool": "", "urls": [ "https://www.amazon.com/dp/B0CRMZHDG8" ], "keywords": [ "wireless headphones" ], "domain": "https://www.amazon.com", "pagesToSearch": 1, "maxItems": 50 } ```` # Actor output Schema ## `results` (type: `string`): Records produced by the selected tool: products (get-product, get-global-product), search results (search-products), reviews (get-reviews), or sellers (get-seller). One record per row. ## `keyValueStore` (type: `string`): Primary product images saved by get-product and get-global-product (returned as imageStorageUrl in each record). # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "urls": [ "https://www.amazon.com/dp/B0CRMZHDG8" ], "keywords": [ "wireless headphones" ] }; // Run the Actor and wait for it to finish const run = await client.actor("seemuapps/amazon-mcp").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "urls": ["https://www.amazon.com/dp/B0CRMZHDG8"], "keywords": ["wireless headphones"], } # Run the Actor and wait for it to finish run = client.actor("seemuapps/amazon-mcp").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "urls": [ "https://www.amazon.com/dp/B0CRMZHDG8" ], "keywords": [ "wireless headphones" ] }' | apify call seemuapps/amazon-mcp --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seemuapps/amazon-mcp", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Amazon MCP Server", "description": "MCP server exposing Amazon tools. Product, search, reviews, seller, global product. For any AI agent or LLM client.", "version": "1.0", "x-build-id": "G2Xte3coFqDjOdS7X" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seemuapps~amazon-mcp/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seemuapps-amazon-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seemuapps~amazon-mcp/runs": { "post": { "operationId": "runs-sync-seemuapps-amazon-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seemuapps~amazon-mcp/run-sync": { "post": { "operationId": "run-sync-seemuapps-amazon-mcp", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "tool": { "title": "Tool", "enum": [ "", "get-product", "search-products", "get-reviews", "get-seller", "get-global-product" ], "type": "string", "description": "Pick a tool to run and save results to the dataset, or leave empty to start the actor as an MCP Standby server.", "default": "" }, "urls": { "title": "URLs", "type": "array", "description": "Amazon URLs — required by get-product (product pages), get-reviews (product pages), get-seller (seller pages), and get-global-product (regional product pages).", "items": { "type": "string" } }, "keywords": { "title": "Keywords", "type": "array", "description": "Search keywords — required by search-products.", "items": { "type": "string" } }, "domain": { "title": "Amazon Domain", "type": "string", "description": "Amazon domain URL for search-products. Defaults to https://www.amazon.com.", "default": "https://www.amazon.com" }, "pagesToSearch": { "title": "Pages to Search", "minimum": 1, "type": "integer", "description": "Search-results pages per keyword for search-products.", "default": 1 }, "zipcode": { "title": "Zip Code", "type": "string", "description": "US zip code for localized pricing on get-product (optional)." }, "language": { "title": "Language", "type": "string", "description": "Language code (e.g. en_US) for get-product (optional)." }, "boughtPastMonth": { "title": "Bought Past Month", "minimum": 0, "type": "integer", "description": "Filter products by minimum units purchased in the past month for get-global-product (optional)." }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum records to return when running a tool directly (1–1000).", "default": 50 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```