How to Use the DataDive MCP in OpenAI Agents SDK

Q: How do I connect DataDive to the OpenAI Agents SDK?

Install the SDK using pip, then initialize the server with MCPServerStreamableHttp pointing to your Vinkius endpoint. Pass this server instance in the mcpservers list when creating your Agent.

Q: Does the DataDive MCP Server support tracing when using the OpenAI Agents SDK?

It does. Every call to tools like getrankradar or gethighvolumekeywords is fully logged and visible in your OpenAI dashboard, so you can inspect the exact payloads and responses.

Q: How does the agent handle high-volume keyword searches?

The agent invokes searchallkeywords to query your entire tracked repository. It parses the returned list of volumes and competition scores to prioritize target phrases.

Give your OpenAI Agents SDK production bots direct access to live Amazon seller metrics, keyword rankings, and niche data.

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Connect DataDive MCP to OpenAI Agents SDK

Create your Vinkius account to connect DataDive to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup DataDive with OpenAI Agents SDK

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Automated Amazon Niche Audits

Deploy specialized OpenAI agents that can pull raw marketplace performance metrics directly through the DataDive MCP Server. By exposing `get_niche_details` and `list_competitor_asins`, your agent system can evaluate average prices and track rival brands without manual exports. The OpenAI Agents SDK manages these calls with built-in guardrails, meaning your agent won't execute unauthorized API calls if it drifts. You get clean, structured JSON back, allowing your system to hand off the raw niche data to a reporting agent automatically.

Track Sales Margins via OpenAI Agents SDK

Keep your production systems updated on actual Amazon margins and stock levels. Your agent uses `get_profits_summary` and `get_inventory_status` to pull real-time ROI, advertising spend, and inbound shipments directly from the seller account. Because the SDK traces every single tool execution on your OpenAI dashboard, you can audit exactly when and why your agent checked inventory levels. This makes it safe to deploy autonomous restock alerts in your production systems.

Optimize Keyword Rank with the DataDive MCP Server

Let your agents track organic and sponsored search positions for any ASIN. By calling `get_rank_radar` and `get_high_volume_keywords`, your agent identifies where your listings are dropping and which search terms are driving high-volume traffic. Setting `cacheToolsList=True` in your Python code ensures the agent discovers these keyword tools instantly without making repetitive network trips. It keeps your latency low while your agent actively adjusts its SEO strategy.

Setup guide

Set up DataDive MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all DataDive tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives DataDive tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate DataDive tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="DataDive Agent",
            instructions="You have access to DataDive tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about DataDive MCP in OpenAI Agents SDK

Install the SDK using pip, then initialize the server with `MCPServerStreamableHttp` pointing to your Vinkius endpoint. Pass this server instance in the `mcp_servers` list when creating your Agent.

Yes, you can restrict access by only registering specific tools like `get_inventory_status` or `get_profits_summary` in your agent definition. This prevents the model from looking at broader niche data if it only needs to check stock.

It does. Every call to tools like `get_rank_radar` or `get_high_volume_keywords` is fully logged and visible in your OpenAI dashboard, so you can inspect the exact payloads and responses.

The agent invokes `search_all_keywords` to query your entire tracked repository. It parses the returned list of volumes and competition scores to prioritize target phrases.

Your Amazon seller profits, advertising spend, and account credentials run in a zero-trust V8 Isolate sandbox. Vinkius handles the underlying authentication tokens, keeping your raw financial API keys hidden from the LLM.

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