Is an API Key required for Genderize.io?

No, you can use the service for free without an API key for up to 100 requests per day. For higher volume, you can obtain a key from genderize.io.

How accurate is the gender prediction?

The API returns a 'probability' score between 0.0 and 1.0. A score of 0.99 means the API is 99% certain of the associated gender based on its database.

Can I localise the results for a specific country?

Yes! Use the 'countryId' parameter with an ISO 3166-1 alpha-2 code (e.g., 'BR' for Brazil) to get results optimized for that specific region.

How many names can I check at once?

The 'estimate_genders_bulk' tool allows you to check up to 10 names in a single API request, which is efficient for processing small lists.

Genderize MCP Server for Google ADK 8 tools — connect in under 2 minutes

Name: Genderize
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 8 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Genderize as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="genderize_agent",
    instruction=(
        "You help users interact with Genderize "
        "using 8 available tools."
    ),
    tools=[mcp_tools],
)

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Genderize MCP Server

Connect your AI agent to the Genderize.io database to automate gender estimation through the Model Context Protocol (MCP). Genderize.io is a specialized API that provides statistical probabilities for the gender associated with any first name, backed by a database of over 114 million records. This MCP server enables you to estimate genders for single or multiple names, localized by country, directly through natural conversation.

Google ADK natively supports Genderize as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

Key Features

Gender Estimation — Predict whether a first name is associated with a male or female identity based on global data.
Statistical Probability — Retrieve certainty scores (0.0 to 1.0) and the total data count used for each prediction.
Country Localization — Localize results by providing ISO country codes (e.g., 'US', 'BR', 'GB') to improve accuracy for regional naming patterns.
Batch Processing — Estimate genders for up to 10 names in a single request to process lead lists faster.
Regional Helpers — Quickly check names for specific countries like the USA, Brazil, UK, Spain, and France using dedicated tools.
No-Auth Free Tier — Start using the service immediately with up to 100 free requests per day without an API key.
Scale with API Keys — Optionally provide an API key to access higher rate limits for large-scale data enrichment.

The Genderize MCP Server exposes 8 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Genderize to Google ADK via MCP

Follow these steps to integrate the Genderize MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 8 tools from Genderize via MCP

Why Use Google ADK with the Genderize MCP Server

Google ADK provides unique advantages when paired with Genderize through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Genderize

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Genderize tools with BigQuery, Vertex AI, and Cloud Functions

Genderize + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Genderize MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Genderize and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Genderize tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Genderize regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Genderize

Genderize MCP Tools for Google ADK (8)

These 8 tools become available when you connect Genderize to Google ADK via MCP:

estimate_gender

Predict gender by name

estimate_gender_brazil

Predict gender (Brazil)

estimate_gender_france

Predict gender (France)

estimate_gender_spain

Predict gender (Spain)

estimate_gender_uk

Predict gender (UK)

estimate_gender_us

Predict gender (USA)

estimate_genders_bulk

Predict multiple names

verify_api_connection

io API connectivity. Check connection

Example Prompts for Genderize in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Genderize immediately.

"Estimate the gender for the name 'Peter'."

"Predict the genders for these names: ['Alice', 'Bob', 'Charlie']."

"What is the predicted gender for 'Sasha' in Russia (RU)?"

Troubleshooting Genderize MCP Server with Google ADK

Common issues when connecting Genderize to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Genderize + Google ADK FAQ

Common questions about integrating Genderize MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.