Amazon research from AMZScout data: analyze products & niches, keywords/PPC, and brand catalogs.
Quick Install
Automated & IDE SetupCopy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.
Manual Client & Custom JSON ConfigExpand JSON ▾
Client Config & Setup
Remote HTTPChoose your client or environment
Target File:
💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Capabilities & Tool Schemas (11)
Inspect callable tools, capabilities, and parameters exposed to AI agents by AMZScout Skill + MCP.
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_analyze_nicheAnalyze demand, competition, pricing, and market health for a niche.
Documentation Overview
Official AMZScout Skill + MCP for AI
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 athttps://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
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
- Supported AI Clients
- Supported Amazon Marketplaces
- Supported Capabilities
- Available Tools
- Use Cases
- How It Works
- Prompt Library
- Quick Start
- Installation Guides
- MCP Server
- Support
- Documentation
- Disclaimer
- License
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
| Capability | Supported |
|---|---|
| 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
| Tool | Description |
|---|---|
amzscout_analyze_product | Retrieve complete marketplace data and insights for a single ASIN. |
amzscout_compare_products | Compare 2–5 Amazon products side by side. |
amzscout_analyze_product_set | Analyze and aggregate metrics across 2–100 ASINs. |
amzscout_search_products | Search Amazon products by keyword using marketplace data. |
amzscout_find_by_brand | Retrieve products published under a specific Amazon brand. |
amzscout_locate_asin | Find which Amazon marketplaces list an ASIN, with local prices and sales estimates. |
amzscout_reseller_amazon | Get buy box, offer, and sales-rank data for one ASIN — useful for online arbitrage. |
Market & Niche Research
| Tool | Description |
|---|---|
amzscout_analyze_niche | Analyze demand, competition, pricing, and market health for a niche. |
amzscout_compare_niches | Compare multiple Amazon niches side by side. |
Keywords & SEO
| Tool | Description |
|---|---|
amzscout_get_keywords | Discover SEO and PPC keywords with marketplace metrics. |
Knowledge & Utilities
| Tool | Description |
|---|---|
amzscout_search_knowledge | Search the AMZScout knowledge base. |
amzscout_recommend_tool | Recommend the most appropriate AMZScout tool for a specific use case. |
amzscout_usage | View 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 Case | Description |
|---|---|
| 🔍 Product Discovery | Find promising product opportunities using real marketplace data. |
| 📊 Niche Validation | Evaluate demand, competition, pricing, and seasonality before launching. |
| 🏆 Competitor Research | Analyze competing products, identify strengths and weaknesses, and benchmark performance. |
| 🔑 Keyword Research | Discover high-value keywords, search intent, and long-tail opportunities. |
| ✍️ Listing Optimization | Improve titles, bullet points, descriptions, and keyword coverage. |
| 📈 PPC Planning | Build launch and optimization strategies using keyword and competitor data. |
| 💰 Pricing Analysis | Compare prices, estimate sales potential, and identify pricing opportunities. |
| 🌍 Cross-Marketplace Pricing | Find where an ASIN is sold across Amazon marketplaces and compare local prices. |
| 🔁 Arbitrage & Resale | Analyze buy box ownership, offer counts, and seller competition for resale strategy. |
| 📉 Market Intelligence | Analyze 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
The AI receives raw marketplace data and must interpret everything independently.
AMZScout Skill + MCP
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
Related MCP Servers
Adoption & maintenance
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GitHub stars
1
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Last commit
8d ago
Most recent push to the default branch.
Tools exposed
11
Callable tools this server registers over MCP.
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