DataDive MCP Server for Cursor 10 tools — connect in under 2 minutes
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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{
"mcpServers": {
"datadive": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
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.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
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.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
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:
get_account_details
Returns metadata such as account tier, connected marketplace integrations, and subscription status. Retrieve metadata for your DataDive account
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
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
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
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
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
list_competitor_asins
Includes product titles, brand names, and baseline performance data. List all ASINs (competitors) tracked within a niche
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
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
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.
"Show me the ranking data for ASIN 'B08S9DF7' using Rank Radar."
"List all product niches I'm currently tracking in DataDive."
"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.
Tools not appearing in Cursor
Server shows as disconnected
DataDive + Cursor FAQ
Common questions about integrating DataDive MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
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.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
Connect DataDive with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect DataDive to Cursor
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
