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 AutoGen 8 tools — connect in under 2 minutes

Name: Genderize
Availability: InStock
Author: Vinkius

microsoft.github.io/autogen/docs/tools/mcp-tools

Built by Vinkius GDPR 8 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Genderize as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="genderize_agent",
            tools=tools,
            system_message=(
                "You help users with Genderize. "
                "8 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())

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* 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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Genderize tools. Connect 8 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

Follow these steps to integrate the Genderize MCP Server with AutoGen.

Install AutoGen

Run pip install "autogen-ext[mcp]"

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

Explore tools

The workbench discovers 8 tools from Genderize automatically

Why Use AutoGen with the Genderize MCP Server

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

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Genderize tools to solve complex tasks

Role-based architecture lets you assign Genderize tool access to specific agents. a data analyst queries while a reviewer validates

Human-in-the-loop support: agents can pause for human approval before executing sensitive Genderize tool calls

Code execution sandbox: AutoGen agents can write and run code that processes Genderize tool responses in an isolated environment

Genderize + AutoGen Use Cases

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

Collaborative analysis: one agent queries Genderize while another validates results and a third generates the final report

Automated review pipelines: a researcher agent fetches data from Genderize, a critic agent evaluates quality, and a writer produces the output

Interactive planning: agents negotiate task allocation using Genderize data to make informed decisions about resource distribution

Code generation with live data: an AutoGen coder agent writes scripts that process Genderize responses in a sandboxed execution environment

Genderize MCP Tools for AutoGen (8)

These 8 tools become available when you connect Genderize to AutoGen 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 AutoGen

Ready-to-use prompts you can give your AutoGen 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 AutoGen

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

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

Genderize + AutoGen FAQ

Common questions about integrating Genderize MCP Server with AutoGen.

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call Genderize tools during their conversation turns.

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.