Amazon Reviews Scraper & AI Review Analysis

com.ranovamPublished by ranovam.comv0.1.1Updated Oct 25, 2026

Paste an Amazon product URL: reviews are collected for you and turned into a seller-ready action…

The publisher's own server: Review Expert

VerifiedStreamable HTTPWeb executableWeb Search & ScrapingBusiness & Commerce

Overview

AI-generated overview

A remote Apify-hosted MCP server that takes an Amazon product URL, collects its reviews and turns them into seller-ready analysis.

What you can do
Collect Amazon product reviews from a pasted product URL, handled by the hosted service rather than the assistant's machine. Turn the collected reviews into a seller-ready action summary. No individual tools are listed in the manifest, so the exact operations are not documented here.
When to use it
Useful when you want an assistant to gather Amazon reviews for a product and get a condensed, seller-oriented read on them without building your own scraping pipeline.
Requirements
A remote streamable HTTP endpoint at mcp.apify.com. Authentication is required: an Apify API token sent as a Bearer token in the Authorization header, or OAuth if your MCP client supports it. Network access to the endpoint is needed.
Before you install
You must supply an Apify API token, which is a credential; keep it private and scope it appropriately. The service scrapes Amazon on your behalf and sends the product URL and collected review data to a third party, Apify. Review the provider's terms and any usage costs on your Apify account before relying on it.

Installation

In SourceWeft

  1. Open Amazon Reviews Scraper & AI Review Analysis in the dashboard and add it to a workspace.
  2. Connect the required credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/com.ranovam%2Famazon-review-intelligence/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.

{
  "mcpServers": {
    "amazon-reviews-scraper-ai-review-analysi": {
      "type": "http",
      "url": "https://mcp.apify.com/?tools=enezli/amazon-review-intelligence"
    }
  }
}

Tools

0
This server asks you to sign in, so SourceWeft could not read its tools without an account and has not indexed them. What a connected account sees can depend on that account and its permissions.

Version history

2
  1. v0.1.1LatestSep 28, 2026
  2. v0.1Sep 16, 2026

Score

67% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts

    Declare a GitHub repository with a README, or serve resource_documentation in the OAuth protected-resource metadata.

  • LicenseNot applicable

    A hosted service is used under its provider's terms, so no license is expected here. This check is left out of the percentage.

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