AMZScout Skill + MCP

io.github.amzscout-corpPublished by GitHub account amzscout-corpv1.0.0Updated Oct 25, 2026

Amazon research from AMZScout data: analyze products & niches, keywords/PPC, and brand catalogs.

VerifiedStreamable HTTPWeb executableData & AnalyticsBusiness & Commerce

Overview

AI-generated overview

A hosted MCP server that gives an AI assistant AMZScout's Amazon marketplace research data and analysis for products, niches, keywords and PPC.

What you can do
Analyze, compare and search Amazon products by ASIN, keyword or brand, including bulk sets and cross-marketplace ASIN lookup with local prices and sales estimates, plus buy box and offer data for resellers. Evaluate niches and compare several niches on demand, competition, pricing and market health. Discover SEO and PPC keywords with marketplace metrics. Search the AMZScout knowledge base, get a recommendation of which AMZScout tool fits a use case, and check remaining token balance and usage.
When to use it
Useful for Amazon sellers, resellers and researchers who want an assistant to validate product ideas, size up competitors, plan keywords and PPC, or compare prices across marketplaces using real marketplace data rather than assumptions.
Requirements
A remote Streamable HTTP endpoint; nothing to install. Requires an AMZScout API key sent as an Authorization Bearer header (or a key URL parameter), obtained by purchasing a token plan. Network access to the hosted endpoint.
Before you install
Access is paid: token plans are sold in tiers and usage consumes a token balance, which the usage tool reports. The API key is a credential and should be kept out of shared configurations. Outputs are informational only and the provider says users must verify data before business decisions; it is not affiliated with Amazon.

Installation

In SourceWeft

  1. Open AMZScout Skill + MCP 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/io.github.amzscout-corp%2Famzscout-skill-mcp/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": {
    "amzscout-skill": {
      "type": "http",
      "url": "https://chatbot.amzscout.net/mcp"
    }
  }
}

README

Official AMZScout Skill + MCP for AI

[AMZScout Skill + MCP]

[License] [MCP Compatible] [Hosted Service] [AI Ready] [Amazon Research]

Connect your AI to real Amazon marketplace data with the official AMZScout Skill + MCP.

Get your API key here: https://learn.amzscout.net/amazon-product-api-for-ai-agents

Connection

This is a remote (hosted) MCP server — Streamable HTTP transport. Point your MCP client at the endpoint below; there is nothing to install.

  • MCP endpoint (Streamable HTTP): https://chatbot.amzscout.net/mcp
  • Transport: streamable-http (a legacy SSE endpoint is also available at https://chatbot.amzscout.net/mcp/sse)
  • Authentication: send your AMZScout API key as the Authorization: Bearer <API_KEY> header (or ?key=<API_KEY> in the URL). Get a key at https://learn.amzscout.net/amazon-product-api-for-ai-agents
json
{  "mcpServers": {    "amzscout": {      "type": "streamable-http",      "url": "https://chatbot.amzscout.net/mcp",      "headers": { "Authorization": "Bearer YOUR_AMZSCOUT_API_KEY" }    }  }}

Unlike a traditional MCP server that simply exposes APIs, AMZScout combines live marketplace data with proprietary analytical algorithms developed specifically for Amazon research. Instead of returning raw marketplace data, it delivers structured marketplace intelligence that AI assistants can immediately use to answer Amazon-related questions more accurately.

Whether you're validating product ideas, researching competitors, discovering keywords, optimizing listings, or building PPC campaigns, AMZScout helps your AI make data-driven decisions based on real Amazon marketplace data - not assumptions.

[!IMPORTANT] AMZScout provides AI-powered marketplace analysis based on Amazon marketplace data. AI-generated responses are intended for informational purposes only. Please review the Disclaimer section below for important legal information.


Table of Contents


Features

  • 📊 Real Amazon marketplace data
  • 🔍 Product opportunity discovery
  • 📈 Niche validation
  • 🏆 Competitor analysis
  • 🔑 Keyword research
  • ✍️ Listing optimization
  • 🎯 PPC strategy generation
  • 💰 Sales estimates
  • 📉 Historical marketplace trends
  • 💵 Pricing analysis
  • 🌍 Cross-marketplace ASIN lookup
  • 🔁 Reseller & buy box insights
  • 🤖 AI-ready structured responses
  • 🧠 Marketplace intelligence powered by AMZScout
  • ⚡ Fast responses optimized for AI workflows

Supported AI Clients

Officially supported AI clients:

  • Claude
  • ChatGPT (Plus and higher)
  • Cursor
  • CrewAI
  • OpenClaw

Other MCP-compatible AI clients are also supported.


Supported Amazon Marketplaces

AMZScout provides marketplace data across all major Amazon marketplaces:

  • 🇺🇸 United States
  • 🇨🇦 Canada
  • 🇲🇽 Mexico
  • 🇧🇷 Brazil
  • 🇬🇧 United Kingdom
  • 🇩🇪 Germany
  • 🇫🇷 France
  • 🇮🇹 Italy
  • 🇪🇸 Spain
  • 🇦🇺 Australia
  • 🇯🇵 Japan
  • 🇮🇳 India
  • 🇦🇪 United Arab Emirates
  • 🇸🇦 Saudi Arabia

Supported Capabilities

CapabilitySupported
Product Research✅
Product Discovery✅
Niche Validation✅
Competitor Analysis✅
Keyword Research✅
Listing Optimization✅
PPC Strategy✅
Sales Estimates✅
Pricing Analysis✅
Historical Marketplace Trends✅
Arbitrage & Resale✅
AI-ready Structured Responses✅

Available Tools

Full documentation for every tool is available in /tools.

Product Research

ToolDescription
amzscout_analyze_productRetrieve complete marketplace data and insights for a single ASIN.
amzscout_compare_productsCompare 2–5 Amazon products side by side.
amzscout_analyze_product_setAnalyze and aggregate metrics across 2–100 ASINs.
amzscout_search_productsSearch Amazon products by keyword using marketplace data.
amzscout_find_by_brandRetrieve products published under a specific Amazon brand.
amzscout_locate_asinFind which Amazon marketplaces list an ASIN, with local prices and sales estimates.
amzscout_reseller_amazonGet buy box, offer, and sales-rank data for one ASIN — useful for online arbitrage.

Market & Niche Research

ToolDescription
amzscout_analyze_nicheAnalyze demand, competition, pricing, and market health for a niche.
amzscout_compare_nichesCompare multiple Amazon niches side by side.

Keywords & SEO

ToolDescription
amzscout_get_keywordsDiscover SEO and PPC keywords with marketplace metrics.

Knowledge & Utilities

ToolDescription
amzscout_search_knowledgeSearch the AMZScout knowledge base.
amzscout_recommend_toolRecommend the most appropriate AMZScout tool for a specific use case.
amzscout_usageView your remaining token balance and usage statistics.

Use Cases

AMZScout Skill + MCP helps AI agents perform real Amazon marketplace research across every stage of the selling journey.

Use CaseDescription
🔍 Product DiscoveryFind promising product opportunities using real marketplace data.
📊 Niche ValidationEvaluate demand, competition, pricing, and seasonality before launching.
🏆 Competitor ResearchAnalyze competing products, identify strengths and weaknesses, and benchmark performance.
🔑 Keyword ResearchDiscover high-value keywords, search intent, and long-tail opportunities.
✍️ Listing OptimizationImprove titles, bullet points, descriptions, and keyword coverage.
📈 PPC PlanningBuild launch and optimization strategies using keyword and competitor data.
💰 Pricing AnalysisCompare prices, estimate sales potential, and identify pricing opportunities.
🌍 Cross-Marketplace PricingFind where an ASIN is sold across Amazon marketplaces and compare local prices.
🔁 Arbitrage & ResaleAnalyze buy box ownership, offer counts, and seller competition for resale strategy.
📉 Market IntelligenceAnalyze historical trends, emerging niches, and marketplace dynamics.

How It Works

Most MCP servers simply expose APIs and return raw marketplace data.

AMZScout adds an intelligence layer between Amazon marketplace data and your AI assistant.

AMZScout MCP data includes comprehensive Amazon product metrics, including estimated sales, revenue, pricing, profitability, listing quality, and competition-related data such as the number of sellers, seller types (FBA/FBM/Amazon), seller countries, and review counts.

It also includes up to two years of historical price, sales, and revenue data, along with keyword metrics such as monthly search volume, cpc, and organic keyword rankings.

Traditional MCP

text
AI Agent      │      ▼ MCP Server      │      ▼ Amazon Marketplace Data

The AI receives raw marketplace data and must interpret everything independently.

AMZScout Skill + MCP

text
AI Agent      │      ▼ AMZScout Skill      │      ▼ AMZScout MCP      │      ▼ Amazon Marketplace Data

Before marketplace data reaches the AI, the built-in AMZScout Skill evaluates marketplace signals using proprietary analytical algorithms.

Instead of raw data, your AI receives structured marketplace intelligence, including:

  • Product insights
  • Market validation
  • Competitor analysis
  • Keyword opportunities
  • Pricing insights
  • PPC insights
  • Reseller & buy box insights
  • Cross-marketplace availability
  • Actionable business guidance

Prompt Library

These prompts work in ChatGPT, Claude, Cursor, CrewAI, OpenClaw, and other MCP-compatible AI clients.

Product Research

  • Find profitable Amazon product opportunities with low competition.
  • Suggest products under $40 that are lightweight and easy to source.
  • Compare these product ideas and recommend the best one to launch.
  • Find products with increasing demand and low competition.

Niche Validation

  • Validate this Amazon niche.
  • Is this niche saturated?
  • Analyze historical demand and seasonality.
  • Estimate the difficulty of entering this market.

Competitor Analysis

  • Analyze ASIN B0XXXXXXXX.
  • Compare this product against its top competitors.
  • Identify competitor strengths and weaknesses.
  • Find similar products with higher estimated sales.

Keyword Research

  • Find the best keywords for this product.
  • Group keywords by search intent.
  • Suggest long-tail keyword opportunities.
  • Build a keyword strategy for a new listing.

Listing Optimization

  • Review my Amazon listing.
  • Improve my product title.
  • Rewrite my bullet points.
  • Suggest missing keywords.
  • Optimize this listing for search visibility.

PPC Strategy

  • Build a launch PPC strategy.
  • Recommend campaign structure.
  • Suggest keyword bidding priorities.
  • Find ASINs for product targeting campaigns.

Pricing & Profitability

  • Estimate monthly sales.
  • Analyze pricing trends over the past two years.
  • Compare pricing with competitors.
  • Estimate revenue potential.

Arbitrage & Reselling

  • On which Amazon marketplaces is ASIN B0XXXXXXXX sold, and what does it cost in each?
  • Who holds the buy box for this ASIN, and at what price?
  • How many FBA and FBM sellers compete on this listing?
  • Does Amazon sell this product itself?
  • Compare prices for this ASIN across all marketplaces where it's listed.

Market Intelligence

  • Show historical sales trends.
  • Compare the US and UK marketplaces.
  • Find fast-growing Amazon niches.
  • Identify emerging product opportunities.

Quick Start

Getting an API Key

Visit:

https://learn.amzscout.net/amazon-product-api-for-ai-agents

Choose the token plan that best fits your needs:

PlanPriceIn-depth Research SessionsUsage PeriodRecommended for
1M Tokens$39100+30 daysGetting started and light usage
5M Tokens$195 $99500+30 daysRegular AI workflows
20M Tokens$780 $1992,000+30 daysHigh-volume usage and AI agents

After completing your purchase, you'll receive an email containing:

  • Your personal API Key
  • Installation instructions for all supported AI clients

Use your API Key to connect AMZScout Skill + MCP to your preferred AI client and start researching Amazon with real Amazon marketplace data.


Installation Guides


MCP Server

Server URL

text
https://chatbot.amzscout.net/mcp

Authentication

text
API Key

Support

If you have questions about installation, configuration, or using AMZScout Skill + MCP, we're happy to help.

📧 [email protected]


Documentation

Complete documentation, installation guides, tutorials, and additional resources are available at:


Disclaimer

Data available through this service and AI-generated outputs are provided for informational purposes only and do not constitute professional or business advice.

Your use of the AI agent is governed by your agreement with its provider. AMZScout is not affiliated with, endorsed by, or sponsored by Amazon or the AI agent provider.

While AMZScout strives to provide accurate and up-to-date marketplace data, users are responsible for independently verifying information before making business decisions.

Your use of this service is at your own risk.


License

This repository is licensed under the MIT License.

[!NOTE] This repository contains documentation and integration examples only. The AMZScout Skill + MCP service is proprietary software provided as a hosted service by AMZScout.

Source: README.md at commit 6abe386

Tools

0
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Version history

1
  1. v1.0.0LatestSep 16, 2026

Score

85% of the applicable checks met

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  • 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
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