DataDive MCP Server for VS Code Copilot 10 tools — connect in under 2 minutes
GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.
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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.
GitHub Copilot Agent mode brings DataDive data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 10 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.
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 VS Code Copilot 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 VS Code Copilot via MCP
Follow these steps to integrate the DataDive MCP Server with VS Code Copilot.
Create MCP config
Create a .vscode/mcp.json file in your project root
Add the server config
Paste the JSON configuration above
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
Start using DataDive
Ask Copilot: "Using DataDive, help me...". 10 tools available
Why Use VS Code Copilot with the DataDive MCP Server
GitHub Copilot for Visual Studio Code provides unique advantages when paired with DataDive through the Model Context Protocol.
VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor
Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access
Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop
GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services
DataDive + VS Code Copilot Use Cases
Practical scenarios where VS Code Copilot combined with the DataDive MCP Server delivers measurable value.
Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step
DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review
Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses
Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples
DataDive MCP Tools for VS Code Copilot (10)
These 10 tools become available when you connect DataDive to VS Code Copilot 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 VS Code Copilot
Ready-to-use prompts you can give your VS Code Copilot 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 VS Code Copilot
Common issues when connecting DataDive to VS Code Copilot through the Vinkius, and how to resolve them.
MCP tools not available
DataDive + VS Code Copilot FAQ
Common questions about integrating DataDive MCP Server with VS Code Copilot.
Which VS Code version supports MCP?
How do I switch to Agent mode?
Can I restrict which MCP tools Copilot can access?
Does MCP work in VS Code Remote or Codespaces?
.vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.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 VS Code Copilot
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.