Genderize MCP Server for Claude Code 8 tools — connect in under 2 minutes
Claude Code is Anthropic's agentic CLI for terminal-first development. Add Genderize as an MCP server in one command and Claude Code will discover every tool at runtime. ideal for automation pipelines, CI/CD integration, and headless workflows via Vinkius.
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Vinkius Desktop App
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.
# Your Vinkius token. get it at cloud.vinkius.com
claude mcp add genderize --transport http "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
* 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.
Claude Code registers Genderize as an MCP server in a single terminal command. Once connected, Claude Code discovers all 8 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where Genderize data drives decisions without human intervention.
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 Claude Code 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 Claude Code via MCP
Follow these steps to integrate the Genderize MCP Server with Claude Code.
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
Add the MCP Server
Run the command above in your terminal
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
Start using Genderize
Ask Claude: "Using Genderize, show me...". 8 tools are ready
Why Use Claude Code with the Genderize MCP Server
Claude Code provides unique advantages when paired with Genderize through the Model Context Protocol.
Single-command setup: `claude mcp add` registers the server instantly. no config files to edit or applications to restart
Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks
Claude Code runs headlessly, enabling unattended batch processing using Genderize tools in cron jobs or deployment scripts
Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features
Genderize + Claude Code Use Cases
Practical scenarios where Claude Code combined with the Genderize MCP Server delivers measurable value.
CI/CD integration: embed Genderize tool calls in your deployment pipeline to validate configurations or fetch secrets before shipping
Headless batch processing: schedule Claude Code to query Genderize nightly and generate reports without human intervention
Shell scripting: pipe Genderize outputs into other CLI tools for data transformation, filtering, and aggregation
Infrastructure monitoring: run Claude Code in a cron job to query Genderize status endpoints and alert on anomalies
Genderize MCP Tools for Claude Code (8)
These 8 tools become available when you connect Genderize to Claude Code 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 Claude Code
Ready-to-use prompts you can give your Claude Code 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 Claude Code
Common issues when connecting Genderize to Claude Code through the Vinkius, and how to resolve them.
Command not found: claude
npm install -g @anthropic-ai/claude-codeConnection timeout
Genderize + Claude Code FAQ
Common questions about integrating Genderize MCP Server with Claude Code.
How do I add an MCP server to Claude Code?
claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.Can Claude Code run MCP tools in headless mode?
How do I list all connected MCP servers?
claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.Connect Genderize with your favorite client
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Connect Genderize to Claude Code
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.