Canlah Skills Radar
← Argus · 市场情报官

Jungle Scout

purahmanian/junglescout-mcp
✓ I/O · 5认领这个员工

Jungle Scout MCP connects AI assistants to Jungle Scout's Amazon product research platform. Retrieve keyword search volume and rankings, estimate product sales data, analyze competitor listings, and surface market opportunity data for Amazon sellers. Requires a Jungle Scout API key.

真实 I/O · 已连通 ✓

启动 server · tools/list · 5 个工具 · junglescout-mcp

下面每个工具的字段、类型、必填项，都是我们真的把 server 启动、tools/list 拉回来的原始 JSON Schema —— 真实的工具契约。注意：下方「示例调用」是按 schema 自动生成的演示，不是真实调用的返回。

keyword_search_volume

Look up exact-match and broad-match search volume for one or more Amazon keywords. Returns 30-day volume, year-over-year trend, quarterly trend, PPC bid estimates, and ease-of-ranking score. Uses the Jungle Scout keywords_by_keyword_query endpoint.

Input（真实 schema）
keywordsarrayrequired
Keywords to look up exact and broad monthly search volume for. Each keyword is queried individually (up to 10 per call are processed). Example: ["yoga mat", "resistance bands"]
marketplacestring
Amazon marketplace code. Defaults to 'us'.
示例调用
{
  "tool": "keyword_search_volume",
  "arguments": {
    "keywords": []
  }
}
keywords_by_asin

Discover which keywords drive traffic to a specific Amazon listing (by ASIN). Returns keyword name, search volume, organic rank, sponsored rank, and relevancy score. Useful for competitor keyword gap analysis.

Input（真实 schema）
asinstringrequired
Amazon ASIN. Example: B07XJ8C8F5
marketplacestring
Amazon marketplace code. Defaults to 'us'.
page_sizeinteger
Number of keywords to return (1-100). Defaults to 25.
示例调用
{
  "tool": "keywords_by_asin",
  "arguments": {
    "asin": "…"
  }
}
product_database_query

Search the Jungle Scout product database for Amazon product opportunities. Filter by category, price range, minimum monthly revenue, and maximum review count. Returns estimated revenue, units sold, BSR, and listing quality score per product.

Input（真实 schema）
marketplacestring
Amazon marketplace code. Defaults to 'us'.
categorystring
Amazon category name to filter by. Example: 'Sports & Outdoors'
include_keywordsarray
Only include products whose title matches these keywords (or ASINs). Example: ['tonneau cover']
min_pricenumber
Minimum price in USD. Example: 15
max_pricenumber
Maximum price in USD. Example: 50
min_monthly_revenuenumber
Minimum estimated monthly revenue in USD. Example: 5000
max_reviewsinteger
Maximum number of reviews (to find low-competition products). Example: 200
page_sizeinteger
Number of results to return (1-100). Defaults to 25.
示例调用
{
  "tool": "product_database_query",
  "arguments": {
    "marketplace": "us",
    "category": "…",
    "include_keywords": []
  }
}
sales_estimates

Get Jungle Scout estimated monthly sales units and revenue for a specific Amazon ASIN. Also returns current BSR, price, reviews, and rating to provide context for the estimate.

Input（真实 schema）
asinstringrequired
Amazon ASIN. Example: B07XJ8C8F5
marketplacestring
Amazon marketplace code. Defaults to 'us'.
start_datestring
Start date YYYY-MM-DD. Defaults to 30 days ago.
end_datestring
End date YYYY-MM-DD (must be before today). Defaults to yesterday.
示例调用
{
  "tool": "sales_estimates",
  "arguments": {
    "asin": "…"
  }
}
share_of_voice

Analyze brand share of voice for a given Amazon search keyword. Shows which brands dominate organic and sponsored results, their combined/organic/sponsored SOV percentages, product counts, average price, and average rating. Useful for competitive landscape analysis.

Input（真实 schema）
keywordstringrequired
Search keyword to analyze brand share for. Example: 'protein powder'
marketplacestring
Amazon marketplace code. Defaults to 'us'.
示例调用
{
  "tool": "share_of_voice",
  "arguments": {
    "keyword": "…"
  }
}

综合分

Canlah Score23
归属岗位Argus · 市场情报官
岗位分值×1.25
★ Stars0
↓ 下载量204
工具数（实测）5
npm 包junglescout-mcp
✓ 已连通：字段来自真实的 tools/list（工具清单）。工具本身尚未真实调用。

效果测评卡

进行中 · 待运行
任务成功率
输出质量 (LLM 评审)
延迟
成本 / token
稳定性

真实 I/O 已解决「输入输出是什么」；下一步接 agent 真跑，量化「效果好不好」。

取用 / 安装

npx -y junglescout-mcp
源码仓库 ↗主页 ↗
同岗位其他 skill
ilo415 Research
ilo415/research-mcp
✓ I/O · 6

ilo415 Research provides AI-powered research tools for agents, covering company intelligence, competitor analysis, web scraping, and deep topic investigations. Payments are handled via micropayment protocol (MPP), enabling pay-per-query research at scale.

Argus↓ 569
27
SEO AI (Google Ads Keyword Planner)
ccnn2509/app-seo-ai

App SEO AI provides a bridge to Google Ads Keyword Planner API, enabling AI assistants to perform SEO research and optimization tasks. The implementation offers tools for keyword research, SERP analysis, and competitor analysis through a Node.js Express server that can be deployed via Docker or Smithery. It handles Google OAuth2 authentication for API access and formats API responses into structured data, making it valuable for content creators, marketers, and SEO professionals who need to research keywords, analyze search results, or evaluate competitor strategies without leaving their AI assistant workflow.

Argus★ 48
24
Citedy SEO Agent
citedy/citedy-seo-agent

Citedy SEO Agent connects to the Citedy platform to automate end-to-end content marketing. It handles trend scouting on X and Reddit, competitor domain analysis, SEO-optimized article generation in 55 languages, and automatic publishing to X, LinkedIn, Shopify, and Facebook. The platform supports AI-generated illustrations and voice-over narration, along with cron-based scheduling for recurring content sessions.

Argus★ 13
17