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DataDive MCP Server for Cursor 10 tools — connect in under 2 minutes

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Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.

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Classic Setup·json
{
  "mcpServers": {
    "datadive": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
DataDive
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High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About DataDive MCP Server

Integrate DataDive, the advanced toolset for Amazon sellers, directly into your AI workflow. Monitor product niches, track keyword rankings with Rank Radar, and analyze your sales profits and inventory levels using natural language.

Cursor's Agent mode turns DataDive into an in-editor superpower. Ask Cursor to generate code using live data from DataDive and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.

What you can do

  • Niche Analysis — List and retrieve detailed metrics for product niches you are tracking.
  • Keyword Tracking — Monitor organic and PPC rankings for any ASIN using Rank Radar data.
  • Profit Oversight — Retrieve a high-level summary of your Amazon sales and financial performance.
  • Inventory Management — Check current stock levels and get restock recommendations via chat.

The DataDive MCP Server exposes 10 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect DataDive to Cursor via MCP

Follow these steps to integrate the DataDive MCP Server with Cursor.

01

Open MCP Settings

Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"

02

Add the server config

Paste the JSON configuration above into the mcp.json file that opens

03

Save the file

Cursor will automatically detect the new MCP server

04

Start using DataDive

Open Agent mode in chat and ask: "Using DataDive, help me...". 10 tools available

Why Use Cursor with the DataDive MCP Server

Cursor AI Code Editor provides unique advantages when paired with DataDive through the Model Context Protocol.

01

Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context

02

Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards

03

MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment

04

VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools

DataDive + Cursor Use Cases

Practical scenarios where Cursor combined with the DataDive MCP Server delivers measurable value.

01

Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP

02

Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically

03

Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates

04

Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data

DataDive MCP Tools for Cursor (10)

These 10 tools become available when you connect DataDive to Cursor via MCP:

01

get_account_details

Returns metadata such as account tier, connected marketplace integrations, and subscription status. Retrieve metadata for your DataDive account

02

get_high_volume_keywords

Returns keywords with significant search volume and favorable competition metrics for ranking priority. List top performing keywords based on search volume and competition

03

get_inventory_status

Returns units in stock, inbound shipments, and daily sell-through rates to provide restock lead-time alerts. Check current inventory levels and restock recommendations

04

get_niche_details

Resolves high-level metrics such as average price, total niche volume, and competition score based on aggregated Amazon data. Get detailed analytics and metrics for a specific niche

05

get_profits_summary

Aggregates sales data, fees, and advertising spend to return net profit margins and ROI for the connected seller account. Retrieve a high-level financial summary of your Amazon sales

06

get_rank_radar

Returns real-time organic and sponsored positions across tracked keywords, enabling competitive visibility analysis. Get keyword ranking data (organic and PPC) for a specific ASIN

07

list_competitor_asins

Includes product titles, brand names, and baseline performance data. List all ASINs (competitors) tracked within a niche

08

list_niche_keywords

Returns search volume, relevancy scores, and priority indicators for product ranking and SEO optimization. List all keywords and search volumes for a specific niche

09

list_product_niches

Returns a collection of niche objects including name, marketplace (e.g., Amazon US), and tracking status. List all product niches tracked in your DataDive account

10

search_all_keywords

Matches against the global keyword repository in the user's account to find occurrences and metrics across multiple categories. Search for keywords across all your tracked niches

Example Prompts for DataDive in Cursor

Ready-to-use prompts you can give your Cursor agent to start working with DataDive immediately.

01

"Show me the ranking data for ASIN 'B08S9DF7' using Rank Radar."

02

"List all product niches I'm currently tracking in DataDive."

03

"What is my profit summary for the last 30 days?"

Troubleshooting DataDive MCP Server with Cursor

Common issues when connecting DataDive to Cursor through the Vinkius, and how to resolve them.

01

Tools not appearing in Cursor

Ensure you are in Agent mode (not Ask mode). MCP tools only work in Agent mode.
02

Server shows as disconnected

Check Settings → Features → MCP and verify the server status. Try clicking the refresh button.

DataDive + Cursor FAQ

Common questions about integrating DataDive MCP Server with Cursor.

01

What is Agent mode and why does it matter for MCP?

Agent mode is Cursor's autonomous execution mode where the AI can perform multi-step tasks: reading files, editing code, running terminal commands, and calling MCP tools. Without Agent mode, Cursor operates in a simpler ask-and-answer mode that doesn't support tool calling. Always ensure you're in Agent mode when working with MCP servers.
02

Where does Cursor store MCP configuration?

Cursor looks for MCP server configurations in a mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.
03

Can Cursor use MCP tools in inline edits?

No. MCP tools are only available in Agent mode through the chat panel. Inline completions and Tab suggestions do not trigger MCP tool calls. This is by design. tool calls require user visibility and approval.
04

How do I verify MCP tools are loaded?

Open Settings → Features → MCP and look for your server name. A green indicator means the server is connected. You can also check Agent mode's available tools by clicking the tools dropdown in the chat panel.

Connect DataDive to Cursor

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.