Junglescout Mcp

io.github.purahmanian由 GitHub 账号 purahmanian 发布v0.1.1更新于 Oct 24, 2026

Jungle Scout MCP server: keyword volumes, product database, sales estimates, share of voice

已验证STDIO仅桌面数据与分析商业与电商

概览

AI 生成的概览

本地 MCP 服务器,让助手通过 Jungle Scout API 查询亚马逊关键词搜索量、Listing 关键词、商品筛选、销量估算和品牌声量份额。

可以做什么
查询亚马逊关键词搜索量、趋势和 PPC 出价估算,单次最多 100 个关键词,支持精确匹配与广泛匹配及 30 天和季度趋势。查找为某个 ASIN 带来流量的关键词,包括自然位和广告位。按类目、标题关键词、价格、最低收入和最高评论数筛选商品库,发现选品机会。估算某个 ASIN 的月销量和收入。衡量某关键词下各品牌在自然和广告结果中的份额。
适用场景
适合已有 Jungle Scout API 权限的亚马逊卖家、选品研究人员和电商分析师,用于以对话方式做关键词研究、竞品关键词差距分析和选品机会挖掘。
运行要求
通过 npx(Node.js)在本地运行。需要包含 Developer/Cobalt API 权限的有效 Jungle Scout 订阅,并设置两个环境变量:JUNGLESCOUT_API_KEY 和 JUNGLESCOUT_KEY_NAME。需要访问 Jungle Scout API 的网络连接。未配置凭据时服务器仍可启动,但工具只返回配置说明。
安装前请注意
需要你的 Jungle Scout API 密钥和密钥名称;它们只发送给 Jungle Scout API,不会写入磁盘。该服务器为非官方项目,与 Jungle Scout 无隶属或背书关系。查询会把所问的关键词和 ASIN 发送给 Jungle Scout。API 访问依赖付费的 Jungle Scout 套餐。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Junglescout Mcp,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

junglescout-mcp

MCP server for the Jungle Scout Cobalt/Developer API: keyword search volume, ASIN keyword analysis, product database queries, sales estimates, and share of voice.

[CI] [npm]


Unofficial: This project is not affiliated with, endorsed by, or sponsored by Jungle Scout. "Jungle Scout" is a trademark of Jungle Scout Group LLC. All rights belong to their respective owners.


What it does

ToolDescriptionExample prompt
keyword_search_volumeExact-match and broad-match volume for up to 100 keywords, plus 30-day trend, quarterly trend, and PPC bid estimates"What is the search volume for 'yoga mat' and 'foam roller' on Amazon?"
keywords_by_asinWhich keywords drive traffic to a specific Amazon listing"What keywords is ASIN B07XJ8C8F5 ranking for?"
product_database_queryFind product opportunities filtered by category, title keywords, price, minimum revenue, and max reviews"Find Sports and Outdoors products under $40 with at least $5k monthly revenue and fewer than 300 reviews"
sales_estimatesEstimated monthly units sold and revenue for an ASIN"How many units per month does B07XJ8C8F5 sell?"
share_of_voiceBrand share of organic and sponsored results for a keyword"Which brands dominate the 'protein powder' keyword on Amazon?"

Quick start

Claude Desktop

Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):

json
{  "mcpServers": {    "junglescout": {      "command": "npx",      "args": ["-y", "junglescout-mcp"],      "env": {        "JUNGLESCOUT_API_KEY": "your-api-key-here",        "JUNGLESCOUT_KEY_NAME": "your-key-name-here"      }    }  }}

Restart Claude Desktop after saving.

Claude Code

bash
claude mcp add junglescout \  -e JUNGLESCOUT_API_KEY=your-api-key-here \  -e JUNGLESCOUT_KEY_NAME=your-key-name-here \  -- npx -y junglescout-mcp

OpenAI Codex CLI

Add to ~/.codex/config.toml:

toml
[mcp_servers.junglescout]command = "npx"args = ["-y", "junglescout-mcp"]
[mcp_servers.junglescout.env]JUNGLESCOUT_API_KEY = "your-api-key-here"JUNGLESCOUT_KEY_NAME = "your-key-name-here"

Getting an API key

The Jungle Scout Developer API requires an active Jungle Scout subscription that includes API access.

Sign up or upgrade your Jungle Scout plan: https://www.junglescout.com/pricing/

Once you have a plan with API access:

  1. Log in to Jungle Scout and navigate to Settings > Manage API Keys.
  2. Create a new API key. You will receive both a Key Name and an API Key.
  3. Set the environment variables:
bash
export JUNGLESCOUT_API_KEY="your-api-key-here"export JUNGLESCOUT_KEY_NAME="your-key-name-here"

The server will start without credentials and tools will return setup instructions until both variables are configured.


Example conversations

Keyword research for a new product:

"Give me the Amazon US search volume and PPC bid estimates for 'bamboo cutting board', 'wooden cutting board', and 'plastic cutting board'. Which has the best volume-to-competition ratio?"

The model calls keyword_search_volume with all three terms, compares volumes and ease-of-ranking scores, and summarizes which keyword is the best entry point.

Competitor keyword gap analysis:

"I am competing with ASIN B07XJ8C8F5. What are the top 20 keywords driving traffic to that listing?"

The model calls keywords_by_asin and returns the ranking keywords sorted by relevancy, including organic and sponsored positions.

Product opportunity discovery:

"Find me product opportunities in the Kitchen category priced between $20 and $60 with at least $8,000 monthly revenue and fewer than 150 reviews."

The model calls product_database_query with the filters and returns a ranked list of products with revenue, BSR, and listing quality scores.


Development

bash
# Install dependenciesnpm install
# Run tests (no live API calls)npm test
# Buildnpm run build
# Run locally (credentials required for live data)JUNGLESCOUT_API_KEY=xxx JUNGLESCOUT_KEY_NAME=yyy node dist/index.js

Authentication

The Jungle Scout API uses a custom authorization format:

Authorization: <KEY_NAME>:<API_KEY>X-API-Type: junglescoutContent-Type: application/vnd.api+jsonAccept: application/vnd.junglescout.v1+json

The Accept header selects the API version and must be the application/vnd.junglescout.v1+json media type. Sending a different Accept value causes the API to return HTTP 404.

All marketplace parameters default to us. Other supported values include ca, uk, de, fr, it, es, jp, au, in, and more.


Built by

Built by Puya Ventures LLC. I build custom MCP servers and AI integrations for product, e-commerce, and data teams. Get in touch: [email protected] | Portfolio: puyarahmanian.com

Part of the Product-Research MCP Suite: keepa-mcp · google-trends-mcp · junglescout-mcp


Privacy

This server runs entirely on your machine. It collects no telemetry and stores no data. The only network calls it makes are to the Jungle Scout API (developer.junglescout.com), sending your API credentials and the keywords or ASINs you ask about. Credentials are read from the JUNGLESCOUT_API_KEY and JUNGLESCOUT_KEY_NAME environment variables and never written to disk or sent anywhere except Jungle Scout. See Jungle Scout's privacy policy: https://www.junglescout.com/privacy/

License

MIT. See LICENSE.

来源:README.md,提交 0341f4a

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

1
  1. v0.1.1最新Sep 16, 2026

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