DataDive MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect DataDive through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using DataDive, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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.
The Vercel AI SDK gives every DataDive tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the DataDive MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from DataDive and passes them to the LLM
Why Use Vercel AI SDK with the DataDive MCP Server
Vercel AI SDK provides unique advantages when paired with DataDive through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same DataDive integration everywhere
Built-in streaming UI primitives let you display DataDive tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
DataDive + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the DataDive MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query DataDive in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate DataDive tools and return structured JSON responses to any frontend
Chatbots with tool use: embed DataDive capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with DataDive through natural language queries
DataDive MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect DataDive to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting DataDive to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpDataDive + Vercel AI SDK FAQ
Common questions about integrating DataDive MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.