How to Use the WhoisXML MCP in Google ADK

Q: How does WhoisXML work with the Google ADK?

Your agent framework integrates directly via McpToolset into the Gemini ecosystem. It treats the WhoisXML MCP Server as a callable tool, allowing your agent to act on domain data while maintaining context in BigQuery.

Q: What kind of records can I get using WhoisXML and Google ADK?

You'll get parsed and raw WHOIS data via getwhoisrecord. The agent handles this complexity, making it available for long-context reasoning within the Gemini models.

Q: Is WhoisXML good for domain research with Google ADK?

It's solid. By using checkdomainavailability and getwhoisrecord, your agent can build full research reports on domain ownership and availability, all within the secure boundaries of Vertex AI.

Q: Can Google ADK handle WhoisXML for email validation?

Yes. The verifyemail tool lets your agent check email validity directly from its prompt chain. This is critical when processing large lists of contacts that are already in BigQuery.

Access domain intelligence using Google ADK for enterprise agents on BigQuery.

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Connect WhoisXML MCP to Google ADK

Create your Vinkius account to connect WhoisXML 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 WhoisXML with Google ADK

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Get location data from an IP

The `get_ip_geolocation` tool takes an IP address and returns precise geographical coordinates. This is useful when you're tracking network sources or segmenting user bases within BigQuery. Your agent uses this to enrich existing datasets, adding contextual location data that helps with targeted analysis.

Check domain registration status

Run `check_domain_availability` when you need to know if a TLD is open for sale. This tool provides an immediate boolean result your agent can use in complex decision-making processes. It keeps the workflow tight, letting you validate names before attempting any record creation or analysis.

Validate an email address's existence

Don't send bad data into your pipelines. The `verify_email` tool checks if an email is valid and active. This prevents costly errors when feeding user data into BigQuery or other Google Cloud services. It ensures the quality of your input streams, making downstream analysis reliable.

Setup guide

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

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Common questions about WhoisXML MCP in Google ADK

Your agent framework integrates directly via `McpToolset` into the Gemini ecosystem. It treats the WhoisXML MCP Server as a callable tool, allowing your agent to act on domain data while maintaining context in BigQuery.

You'll get parsed and raw WHOIS data via `get_whois_record`. The agent handles this complexity, making it available for long-context reasoning within the Gemini models.

It's solid. By using `check_domain_availability` and `get_whois_record`, your agent can build full research reports on domain ownership and availability, all within the secure boundaries of Vertex AI.

Yes. The `verify_email` tool lets your agent check email validity directly from its prompt chain. This is critical when processing large lists of contacts that are already in BigQuery.

The server touches domains, IP addresses, emails, and WHOIS records. The `google-adk` keeps all these inputs and outputs managed within the cloud environment.

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