How to Use the Datanyze MCP in Google ADK

Q: How do I connect the Datanyze MCP Server to Google ADK?

Install the framework via pip install google-adk. Initialize McpToolset with your Vinkius URL and pass it to your LlmAgent tools array.

Q: Can Google ADK restrict which Datanyze tools the agent sees?

You apply the optional toolnames filter during initialization. This hides unneeded tools and saves tokens in Gemini's context window.

Q: How do I find specific software identifiers?

Call listtrackedtechnologies. This returns the technical identifiers and category classifications for all software solutions tracked by the platform.

Equip your Google ADK agents to pull Datanyze technographics and build target account lists directly inside your Gemini workflows.

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Connect Datanyze MCP to Google ADK

Create your Vinkius account to connect Datanyze 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 Datanyze with Google ADK

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Feed Gemini with Datanyze MCP Server technographics

Your Google ADK agent uses the Datanyze MCP Server to uncover exactly what software a target company runs. Executing `get_domain_intelligence` returns active software stacks and website metadata. Gemini drops this raw intelligence directly into your long-context window for deeper reasoning. Finding targets based on their current tech stack changes how you build lists. You trigger `list_technology_customers` to pull companies using a specific platform. The agent correlates this fresh data with existing account records in BigQuery.

Extract B2B contacts and organizational structures

Extracting Datanyze contact profiles ensures you reach the right buyer. Calling `get_domain_contacts` resolves individual profiles, departments, and social links for key decision-makers. Your enterprise agent formats this data before pushing it to Vertex AI for scoring. Industry mapping provides the necessary context for outreach. Running `list_industry_sectors` grabs available categories for filtering. You then pass those categories into `search_b2b_companies` to find matching organizational entities across specific verticals.

Map competitors and analyze web traffic

Surfacing alternative accounts via Datanyze keeps your pipeline full. Your system executes `list_competitor_domains` to find websites sharing similar technographic profiles. Gemini analyzes these lists to spot patterns in how competitors build their stacks. Traffic metrics help prioritize which accounts to attack first. The agent calls `get_domain_traffic_rank` to pull global visibility numbers. Checking `get_api_credit_balance` ensures you never hit rate limits during large batch operations.

Setup guide

Set up Datanyze 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 Datanyze 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="Datanyze_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Datanyze tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Datanyze MCP in Google ADK

Install the framework via `pip install google-adk`. Initialize `McpToolset` with your Vinkius URL and pass it to your `LlmAgent` tools array.

You apply the optional `tool_names` filter during initialization. This hides unneeded tools and saves tokens in Gemini's context window.

It fits right in. Your agent pulls competitor lists from Datanyze and writes the results straight to your BigQuery tables.

Call `list_tracked_technologies`. This returns the technical identifiers and category classifications for all software solutions tracked by the platform.

Every request touching website metadata, job titles, and active software stacks runs through a zero-trust architecture. The Vinkius endpoint requires a single auth token and destroys the execution context the millisecond the request finishes.

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