How to Use the Genderize MCP in Claude Code

Q: How do I connect Claude Code to the Genderize server?

Run claude mcp add --transport http genderize -- in your terminal. The name genderize is how you'll refer to it. Use claude mcp list to confirm it's connected.

Q: What's the best way to handle the output from Genderize in Claude Code?

The output is JSON, so pipe it to a tool like jq. This lets you easily extract the gender or probability fields, count results, or reformat the data for the next step in your script.

Q: Is there a way to check if the Genderize API is down using Claude Code?

Yes, use the verifyapiconnection tool. It returns a simple success or failure message, perfect for a quick check in a script before you run a large batch of names.

Pipe a list of first names to Claude Code and get back gender probabilities. A perfect, headless tool for your CI/CD pipelines and shell scripts.

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Connect Genderize MCP to Claude Code

Create your Vinkius account to connect Genderize to Claude Code 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 Genderize with Claude Code

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Process Bulk Data from the Command Line

The `estimate_genders_bulk` tool is made for the terminal. You can pipe a text file of names directly into Claude Code and get a clean JSON output. It's designed for scripting and headless environments where you need to enrich data without a GUI. Chain it with other command-line utilities like `jq` to parse the results or `tee` to save them to a file. This turns a multi-step API integration into a single, clean shell command.

Integrate into CI/CD and Cron Jobs

Automate data processing in your deployment pipelines. Use this MCP server in a GitHub Action or a Jenkins job to enrich user data as part of a larger workflow. For example, pull names from a database, pipe them through `estimate_gender`, and load the results into a warehouse. You can also use the `verify_api_connection` tool in a simple cron job. Have it run every hour to check the Genderize.io service status and trigger an alert if it fails. It's simple, scriptable monitoring.

Use the Right Tool for the Right Country

Your scripts can be smarter than a single endpoint. The server provides targeted tools like `estimate_gender_spain` and `estimate_gender_france`. A simple shell script can parse your input data and direct names to the correct tool based on a country code column. This lets you build more accurate data processing pipelines directly in the terminal. No need for complex application code to handle routing; it's all managed with simple tool calls through your AI agent.

Setup guide

Set up Genderize MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see genderize-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Genderize transactions." It will automatically discover and invoke the available Genderize tools.

Terminal

claude mcp add --transport http genderize-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Genderize MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

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

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.

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Common questions about Genderize MCP in Claude Code

Run `claude mcp add --transport http genderize -- ` in your terminal. The name `genderize` is how you'll refer to it. Use `claude mcp list` to confirm it's connected.

Absolutely. Since Claude Code is a CLI, you can install it in your runner and call the Genderize tools as part of any CI/CD workflow. It's ideal for headless data processing.

The output is JSON, so pipe it to a tool like `jq`. This lets you easily extract the `gender` or `probability` fields, count results, or reformat the data for the next step in your script.

Yes, use the `verify_api_connection` tool. It returns a simple success or failure message, perfect for a quick check in a script before you run a large batch of names.

The first names you pipe to Claude Code are the only data sent. The connection from your terminal or CI runner to the Vinkius MCP server is encrypted. The server instance handling your request is ephemeral and doesn't store your data.

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