mcp server
AMZScout Skill + MCP
Amazon research from AMZScout data: analyze products & niches, keywords/PPC, and brand catalogs.
Description as published by the maintainer. Source
- version 1.0.0
- active
- retrieval
active — Most recent push to the repository was 2026-08-06. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 0 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-08-06 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 1.0.0 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-08-04 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-08-04 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub |
Where to get it
Related, by what their authors tagged them
-
Amazon Trends API
— last commit 2026-08-03, shares amazon, amazon-seller, ecommerce
Amazon product search volume and best-seller trends. Free key at trendsapi.ai
-
com.webotee/amazon-product-research-mcp
— last commit 2026-08-05, shares amazon, amazon-seller, chatgpt
Amazon brand, seller, niche & buy-box intelligence inside your own Claude or ChatGPT.
-
Google Trends API
— last commit 2026-08-03, shares keyword-research, market-research
Google Trends search interest over time with growth metrics. Free key at trendsapi.ai
-
DataDoe MCP
— last commit 2026-07-24, shares amazon-seller
Hosted Amazon Seller and Vendor MCP server for Claude, ChatGPT, Cursor, Codex, Gemini, Copilot.
-
Synap Memory
— last commit 2026-08-06, shares crewai
Persistent memory for AI agents — log and recall conversation context over MCP.
-
openaso
— last commit 2026-07-28, shares keyword-research
App Store Optimization for AI agents: keyword ranks, suggestions, popularity, competitors, reviews
-
app.trysonar/sonar
— last commit 2026-07-18, shares keyword-research
ASO tools for AI agents: keyword research, rank tracking, competitor analysis (iOS & Android).
-
GrantAi Memory
— last commit 2026-03-16, shares crewai
Persistent memory for AI agents. Infinite context with sub-millisecond recall.
-
Cathedral — Persistent Memory for AI Agents
— last commit 2026-06-13, shares crewai
Persistent memory and drift detection for AI agents across session restarts.
-
Yandex Wordstat MCP
— last commit 2026-08-05, shares keyword-research
MCP server for Yandex Wordstat API: top & related queries, demand dynamics and regions.
These share tags the maintainers applied themselves, such as amazon, amazon-seller, ecommerce, market-research. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: ai-agent, amazon, amazon-fba, amazon-ppc, amazon-product-research, amazon-research, amazon-seller, chatgpt, claude, competitive-analysis, crewai, cursor, ecommerce, keyword-research, market-research, mcp, mcp-server, model-context-protocol, openclaw, product-research.
Bring your own setup
We take apart real AI setups every week and show what broke, what cost too much, and what the trace actually said. If you run agents on real work, that is where the useful conversation is.
Join ZBS AI Practice Lab