How to Use the DataDive MCP in Google ADK

Q: How do I set up the DataDive MCP Server with Google ADK?

Install the ADK via pip and define your toolset using McpToolset with your Vinkius HTTP URL. Pass this toolset directly into your LlmAgent tools array to let Gemini discover the endpoints.

Q: Can I restrict which tools are exposed to my Gemini agent?

Yes, you can pass a list of allowed tool names to the McpToolset constructor. This limits the agent to only running specific actions like checking ranks or pulling niche data.

Connect Gemini's massive context window to your Amazon store data using Google ADK and DataDive.

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Connect DataDive MCP to Google ADK

Create your Vinkius account to connect DataDive to Google ADK 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 Google ADK

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Enterprise Niche Scouting via Google ADK

Feed massive market reports into Gemini's long context window alongside live Amazon data. Your Gemini agent uses `list_product_niches` and `get_niche_details` to pull average prices, total niche volume, and competitor performance directly into its active memory. By combining this live data with your existing enterprise tables in BigQuery, your Google ADK agent can run complex pricing models on the fly. It gives your team immediate, data-backed recommendations for product launches.

Global Keyword Audits with the DataDive MCP Server

Run broad keyword sweeps across all your tracked Amazon niches. The agent calls `list_niche_keywords` and `get_high_volume_keywords` to pull back thousands of search terms, volumes, and priority scores. Because Gemini handles massive inputs, you don't have to worry about choking the model with huge list outputs. The Google ADK toolset handles the transport, feeding raw keyword data straight into your Vertex AI pipeline.

Track Amazon Profitability via Google ADK

Automate your daily brand health checks using this hosted MCP Server. Your agent calls `get_profits_summary` and `get_inventory_status` to pull net profit margins, advertising spend, and inbound shipments directly from your seller account. You can restrict the toolset to only expose these financial endpoints using the `tool_names` filter. This ensures your supply chain agent can check stock levels without getting distracted by unrelated SEO tools.

Setup guide

Set up DataDive MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with DataDive tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="DataDive_agent",
    model="gemini-2.0-flash",
    instruction="You have access to DataDive tools via MCP.",
    tools=mcp_tools,
)

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Common questions about DataDive MCP in Google ADK

Install the ADK via pip and define your toolset using `McpToolset` with your Vinkius HTTP URL. Pass this toolset directly into your `LlmAgent` tools array to let Gemini discover the endpoints.

Yes, the ADK supports both Stdio and HTTP transports. You can connect to your hosted Vinkius endpoint using Streamable HTTP parameters to run your agent in Google Cloud.

Gemini's long-context window easily ingests massive payloads from `search_all_keywords`. The agent can analyze thousands of search volumes and competition scores in a single turn without losing track of details.

Yes, you can pass a list of allowed tool names to the `McpToolset` constructor. This limits the agent to only running specific actions like checking ranks or pulling niche data.

Your Amazon stock levels and sales numbers are protected by Vinkius's ephemeral execution environment. All API requests to the seller account are routed through a secure, isolated sandbox that never stores your credentials.

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