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DataDive

Amazon research through DataDive, including niche analysis, keyword rankings, seller data, PPC metrics, and listing drafts.

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Install DataDive

Pick your client, then add it in one click or paste the config.

STDIONode.js
~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "datadive": {
      "command": "npx",
      "args": [
        "-y",
        "@datadive-tools/mcp"
      ],
      "env": {
        "DATADIVE_API_KEY": "YOUR_VALUE_HERE"
      }
    }
  }
}

Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.

Values are written into the snippet above so you can paste it as is. They never leave your browser.

Automated check passed— started and listed 43 tools correctly (Today).

Overview

DataDive MCP server connects MCP-compatible clients to DataDive account data for Amazon niche, keyword, competitor, Rank Radar, and seller research. It runs locally over stdio and sends the API key only as an authentication header to the DataDive API. Use it to inspect research data, track keyword performance, review seller operations, or start asynchronous dives and listing-copy drafts. Confirmations are required for token-consuming and destructive actions.

Use cases

  • Analyze Amazon niches and competitor ASINs
  • Track keyword rankings and Search Query Performance
  • Review seller listing changes and inventory
  • Find indexing issues and inefficient ad spend
  • Draft listing copy from niche keyword research

Key features

  • Niche keyword, root, and competitor research
  • Rank Radar history, SQP, and PPC metrics
  • Amazon seller catalog and listing monitoring
  • Inventory, indexing, and blind-spend alerts
  • Asynchronous niche dives and listing-copy drafts
  • Rank Radar keyword and lifecycle management

Tools43

What DataDive lets your agent do. Expand a tool for its parameters.

Verified live~17.1k tokens of context

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked 1d ago

Recent health check succeeded.

7/7 checks healthy over the last 44d

What it can do

From the 43 tools this server returned when we ran it; 43 declare their own safety hints.

Can delete or modify data · 21Handles credentials · 11Makes network requests · 3Read-only tools · 22
Network at startup3 connections
Files written at startupNone
Install scriptsprepare
npm provenanceSigned build
Package age168 days
Maintainers1

Observed 2026-10-22 in an isolated sandbox. A description of reach, not a security audit.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 6d ago via OSV.dev · @datadive-tools/mcp (npm)

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars1Stargazers on the source repository.
npm downloads2.3kPackage downloads in the last 30 days.
Last commit6d agoMost recent push to the default branch.
Availability100%Our rolling endpoint + install checks that succeeded.
Install checkPassedOur sandbox started it and listed its tools.
Tools exposed43Callable tools this server registers over MCP.
Directory activity1 viewsConfig copies, upvotes, and views on AllMCPs.

How DataDive works

What the DataDive MCP server does

The DataDive MCP server gives an MCP client access to Amazon research and seller-account data held in DataDive. It can enumerate niches, then retrieve their master keywords, lexical roots, competitor ASINs, sales and revenue statistics, ratings, opportunity scores, and ranking-juice comparisons. These niche tools are useful when evaluating search demand, competitors, or listing optimization opportunities.

Rank Radar tools cover both current tracking configuration and historical performance. You can list radars, retrieve keyword ranking history for up to 90 days, and inspect Amazon Search Query Performance metrics such as impressions, clicks, cart adds, and purchases. Sponsored Products data includes sponsored rank, spend, sales, ACOS, CPC, match types, and optional campaign details.

Seller-scoped tools expose connected seller profiles, catalogs, listing changes, PPC campaigns, fulfillment-center inventory, indexing alerts, and blind-spend alerts. Seller tools require the appropriate seller identifier discovered from the connected profiles.

How it works

The DataDive MCP server runs locally as a stdio process. An MCP client launches the package with npx, and the process makes authenticated requests to api.datadive.tools. The API key remains on the local machine apart from its use as the x-api-key request header. Data is scoped to the organization associated with that key.

Several workflows are asynchronous. Niche dives return a dive identifier that you check with get_dive_status; listing-copy generation returns a generation identifier that you check with get_listing_copy_generation_status. Rank Radar and seller queries support pagination, and historical Rank Radar endpoints accept date ranges of no more than 90 days.

Setup and configuration

Create a DataDive API key from the DataDive account settings. Set the key in the client environment as DATADIVE_API_KEY.

Claude Desktop, Claude Code, and Cursor are documented setup targets. For Claude Desktop and Cursor, configure an MCP entry that runs npx -y @datadive-tools/mcp; Claude Code can add the same command with claude mcp add. Restart or reload the client after configuration, then ask it to list the DataDive niches to verify the connection.

Tools and capabilities

Read-oriented tools can inspect niche research, ranking history, Search Query Performance, PPC metrics, seller catalogs, listing changes, inventory, and alerts. Management tools can add, pause, resume, or delete Rank Radar keywords and radars. A paused radar keeps its history, while deleting one permanently removes its ranking history.

Research workflows can start from a seed ASIN, from a supplied list of 2–200 competitor ASINs, or from an existing niche refresh. Listing-copy generation drafts a title, bullets, and description from niche keyword research; it does not publish anything to Amazon.

Token-consuming actions include niche dives, Rank Radar creation, and listing-copy generation. These require confirm: true. Permanent niche or Rank Radar deletion also requires confirmation. Deleting a niche removes its keywords, competitors, and dive history, and is blocked while a Rank Radar uses that niche.

Limitations and notes

The server requires an existing DataDive account and API key. Its data is limited to the organization connected to that key. Tracking changes consume quota or tracking slots where stated by the tool descriptions, and resuming paused tracking depends on available capacity. Pause operations preserve relevant history, while delete operations do not.

Rank Radar date queries are limited to 90 days and may need paging for larger keyword sets. Seller inventory lookup requires a seller ID. The DataDive MCP server provides drafts and data access; generated listing copy is not published to Amazon automatically.

Read the full README View source on GitHub

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Frequently Asked Questions about DataDive

DataDive is an MCP server that connects Claude or another MCP-compatible client to DataDive’s Amazon research account data through the DataDive API. Its main tools query niches, keywords, competitors, Rank Radar rankings, seller catalogs, listing changes, PPC campaigns, inventory, and alerts, while selected tools start or manage research workflows.

Install it by configuring your MCP client to run `npx -y @datadive-tools/mcp` and setting `DATADIVE_API_KEY`.

Get the key from DataDive account Settings under API Key.

Yes, DataDive works with Cursor through its MCP settings. Add a server entry that runs `npx -y @datadive-tools/mcp` and supplies `DATADIVE_API_KEY` in the environment, then reload Cursor and test by listing your DataDive niches.

No, DataDive does not publish generated copy to Amazon. The listing-copy tool creates an asynchronous draft containing an optimized title, bullets, and description from niche keyword research; retrieve the result by polling its generation status.

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