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.

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

Quick start

Claude Desktop

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

{
  "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

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:

[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:

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 mo

... View full README on GitHub