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 VS Code Copilot 8 tools — connect in under 2 minutes

Name: Genderize
Availability: InStock
Author: Vinkius

code.visualstudio.com/docs/copilot/chat/mcp-servers

Built by Vinkius GDPR 8 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

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The modern way to manage MCP Servers — no config files, no terminal commands. Install Genderize and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·json

{
  "mcpServers": {
    "genderize": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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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.

GitHub Copilot Agent mode brings Genderize data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 8 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

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 VS Code Copilot 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 VS Code Copilot via MCP

Follow these steps to integrate the Genderize MCP Server with VS Code Copilot.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using Genderize

Ask Copilot: "Using Genderize, help me...". 8 tools available

Why Use VS Code Copilot with the Genderize MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Genderize through the Model Context Protocol.

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Genderize + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Genderize MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Genderize MCP Tools for VS Code Copilot (8)

These 8 tools become available when you connect Genderize to VS Code Copilot 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 VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot 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 VS Code Copilot

Common issues when connecting Genderize to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Genderize + VS Code Copilot FAQ

Common questions about integrating Genderize MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.