Is the shopping-aggregator MCP server actively maintained?

The shopping-aggregator MCP server was last committed 29d ago and has 0 contributors. Issue health: 0% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

shopping-aggregator MCP Server

Name: DaizeDong/shopping-aggregator
Rating: 2.9 (1 reviews)
Author: DaizeDong

DaizeDong/shopping-aggregator

Score: 48.3 Rank #21913 MCP Server

[![AgentRank](https://agentrank-ai.com/api/v1/badge/DaizeDong--shopping-aggregator)](https://agentrank-ai.com/tool/DaizeDong--shopping-aggregator/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

Are you the maintainer of DaizeDong/shopping-aggregator? Claim this listing →

Thin orchestration Claude skill for consumer shopping price comparison — Amazon / eBay / Walmart / Target / Taobao / JD + price-history (Keepa / Camelcamelcamel / 慢慢买) + coupon stacks (Capital One Shopping / Karma / 购物党). Sister skill to market-intel.

Add AgentRank to Claude Code Discover and compare tools like DaizeDong/shopping-aggregator — your AI finds the right one automatically

Get API Access →

claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

DaizeDong/shopping-aggregator is a Python tool licensed under MIT. Thin orchestration Claude skill for consumer shopping price comparison — Amazon / eBay / Walmart / Target / Taobao / JD + price-history (Keepa / Camelcamelcamel / 慢慢买) + coupon stacks (Capital One Shopping / Karma / 购物党). Sister skill to market-intel.

Ranked #21913 out of 24846 indexed tools.

Ecosystem

Python MIT

Score Breakdown

Stars 15% 5

5 stars → early stage

Freshness 25% 29d ago

Last commit 29d ago → recently updated

Issue Health 25% 0%

0/3 issues closed → many open issues

Contributors 10% 0

0 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 0

Description Detailed

License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Issue Health high impact

You have 3 open vs 0 closed issues — triaging stale issues improves health

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge all embed codes →

Markdown

[![AgentRank](https://agentrank-ai.com/api/v1/badge/DaizeDong--shopping-aggregator)](https://agentrank-ai.com/tool/DaizeDong--shopping-aggregator/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

HTML

<a href="https://agentrank-ai.com/tool/DaizeDong--shopping-aggregator/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/v1/badge/DaizeDong--shopping-aggregator" alt="AgentRank"></a>

Embed Widget docs →

HTML

<script src="https://agentrank-ai.com/embed.js" data-tool="DaizeDong/shopping-aggregator"></script>

Details

Stars: 5
Forks: 0
Open Issues: 3
Closed Issues: 0
Contributors: 0
Dependents: —
Language: Python
License: MIT
Last Commit: 29d ago

Matched Queries

topic:mcp

See alternatives to DaizeDong/shopping-aggregator → Browse mcp-server category → Best MCP Server MCP servers → Compare DaizeDong/shopping-aggregator → How to Build an MCP Server in 2026 →MCP Server Comparison: Top 10 Head-to-Head →

View on GitHub →