How to Use the Genderize MCP in Google ADK

Q: How do I expose Genderize tools to a Google ADK agent?

Use McpToolset with the MCP Server URL and pass it to your LlmAgent. The agent automatically registers estimategender and the regional tools.

Q: Can Google ADK run bulk lookups on Genderize?

Yes. Your agent uses the estimategendersbulk tool to send lists of names retrieved from BigQuery.

Q: Does Genderize support European regional matching in Google ADK?

Yes, using estimategenderuk, estimategenderfrance, and estimategenderspain. Your agent selects the appropriate tool based on user metadata.

Q: How do I verify the API status in my pipeline?

Your agent runs verifyapiconnection before starting a batch job. If the connection fails, the agent pauses the pipeline to prevent data gaps.

Feed name-based gender predictions directly into BigQuery pipelines using the Genderize MCP Server with Google ADK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Genderize MCP to Google ADK

Create your Vinkius account to connect Genderize 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.

GDPR Free for Subscribers

Setup Genderize with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Query local name databases with Google ADK

The `estimate_gender_us` tool narrows predictions to United States census distributions to match your regional CRM datasets. Your Google ADK agent pulls first names from BigQuery and runs them through this localized tool for targeted segment analysis. This setup lets Gemini models use their 1M+ token context to process large batches of names alongside their geographic context. The Google ADK agent matches the geographic metadata to the correct local Genderize tool.

Run bulk pipeline lookups using this MCP Server

High-throughput pipelines rely on `estimate_genders_bulk` to process multiple names in a single API request. Your Google ADK agent executes these bulk checks before writing enriched lead profiles back to your cloud database. By using this MCP Server, the Gemini agent avoids writing custom API integration code. The Google ADK agent discovers the bulk tool schema and maps the list of names directly from your enterprise data tables.

Localize predictions across European markets

International databases require `estimate_gender_france`, `estimate_gender_spain`, and `estimate_gender_uk` to handle regional naming variations. Your Google ADK agent identifies the country of origin from customer logs and invokes the corresponding database tool. This localized approach corrects for names that have different gender probabilities across borders. The Google ADK agent processes these records in parallel, feeding the structured outputs directly into Vertex AI pipelines.

Setup guide

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Genderize. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Genderize now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Genderize MCP in Google ADK

Use `McpToolset` with the MCP Server URL and pass it to your `LlmAgent`. The agent automatically registers `estimate_gender` and the regional tools.

Yes. Your agent uses the `estimate_genders_bulk` tool to send lists of names retrieved from BigQuery.

Yes, using `estimate_gender_uk`, `estimate_gender_france`, and `estimate_gender_spain`. Your agent selects the appropriate tool based on user metadata.

Your agent runs `verify_api_connection` before starting a batch job. If the connection fails, the agent pauses the pipeline to prevent data gaps.

Yes. Only first names are transmitted to the external API, and Vinkius runs the server inside a zero-trust sandbox. No personal identifiers or database keys are ever exposed.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript