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anpekesen/namegender-mcp

by Various

Model Context Protocol server for the NameGender API: gender from names, emails and usernames, with probability, sample size and source on every answer.

MCP

anpekesen/namegender-mcp

Added 8 Oct 2026

#claude #gender #mcp #mcp-server #model-context-protocol #name

Overview

Model Context Protocol server that wraps the NameGender API to infer gender from names, emails, and usernames. Every result includes a probability score, sample size, and source. Written in JavaScript for MCP-compatible clients.

Best for

Best for
Developers who need quick name-based gender guesses inside MCP-compatible AI tools.

Use cases

  • Enrich CRM records with gender predictions
  • Resolve gender from user emails in chatbot flows
  • Add gender context to lead scoring pipelines

How to use

Install

claude mcp add namegender -e NAMEGENDER_API_KEY=ng_live_... -- npx -y namegender-mcp

Tools exposed

  • gender_from_name
  • gender_from_email
  • gender_from_username
  • gender_bulk
  • name_countries
  • account_status
  • NAMEGENDER_API_KEY
  • NAMEGENDER_BASE_URL

Tested with

Claude Desktop, Claude Code, Cursor

Example client config

{\n  "mcpServers": {\n    "namegender": {\n      "command": "npx",\n      "args": ["-y", "namegender-mcp"],\n      "env": { "NAMEGENDER_API_KEY": "ng_live_..." }\n    }\n  }\n}

Notes

Model Context Protocol server that wraps the NameGender API to infer gender from names, emails, and usernames. Every result includes a probability score, sample size, and source. Written in JavaScript for MCP-compatible clients.

0 stars on GitHub. Last updated 2026-09-21. Licensed MIT.

Use cases

  • Enrich CRM records with gender predictions
  • Resolve gender from user emails in chatbot flows
  • Add gender context to lead scoring pipelines

Pros

  • Works across names, emails, and usernames
  • Provides probability, sample size, and source for transparency
  • Simple MCP integration for JavaScript projects

Cons

  • No stars or community adoption yet
  • Depends on an external API, adding a third-party call
  • Name-based inference is not a reliable measure of gender identity

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Works across names, emails, and usernames
  • Provides probability, sample size, and source for transparency
  • Simple MCP integration for JavaScript projects

Cons

  • No stars or community adoption yet
  • Depends on an external API, adding a third-party call
  • Name-based inference is not a reliable measure of gender identity
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