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How to integrate Genderapi io MCP with Claude Agent SDK

Connect Claude Agent SDK to Genderapi io MCP. Determine gender from a customer email address, infer gender based on a given username, and more using natural language, with authentication handled for you.

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Genderapi io is an API that determines gender from names, emails, or usernames. Instantly enrich your data and personalize user experiences with accurate gender prediction.

5 Tools

Introduction

This guide walks you through connecting Genderapi io to the Claude Agent SDK using the Composio tool router. By the end, you'll have a working Genderapi io agent that can predict gender from first names, detect gender from emails and usernames, and check your usage stats through natural language commands.

This guide will help you understand how to give your Claude Agent SDK agent real control over a Genderapi io account through Composio's Genderapi io MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Genderapi io with

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TL;DR

Here's what you'll learn:
  • Get and set up your Claude/Anthropic and Composio API keys
  • Install the necessary dependencies
  • Initialize Composio and create a Tool Router session for Genderapi io
  • Configure an AI agent that can use Genderapi io as a tool
  • Run a live chat session where you can ask the agent to perform Genderapi io operations

What is Claude Agent SDK?

The Claude Agent SDK is Anthropic's official framework for building AI agents powered by Claude. It provides a streamlined interface for creating agents with MCP tool support and conversation management.

Key features include:

  • Native MCP Support: Built-in support for Model Context Protocol servers
  • Permission Modes: Control tool execution permissions
  • Streaming Responses: Real-time response streaming for interactive applications
  • Context Manager: Clean async context management for sessions

What is the Genderapi io MCP server, and what's possible with it?

The Genderapi io MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Genderapi io account. It provides structured and secure access to gender identification services, so your agent can perform actions like inferring gender from names, emails, or usernames, checking usage statistics, and validating API errors on your behalf.

  • Gender inference from first names: Your agent can determine the likely gender associated with a given first name, supporting localization for more accurate results.
  • Gender prediction from email addresses: Easily infer gender from a provided email address, enabling smart personalization workflows after obtaining proper consent.
  • Analyze usernames and full names for gender: Let your agent deduce gender from usernames, nicknames, or full names—even when only partial information is available.
  • Account usage and API credit monitoring: Check remaining GenderAPI.io credits and expiry dates so you never run out of quota unexpectedly.
  • Comprehensive error code listing: Retrieve and understand all possible API error codes to streamline debugging and ensure robust integrations.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Composio API Key and Claude/Anthropic API Key
  • Primary know-how of Claude Agents SDK
  • A Genderapi io account
  • Some knowledge of Python
2

Getting API Keys for Claude/Anthropic and Composio

Claude/Anthropic API Key
  • Go to the Anthropic Console and create an API key. You'll need credits to use the models.
  • Keep the API key safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

npm install @anthropic-ai/claude-agent-sdk @composio/core dotenv

Install the Composio SDK and the Claude Agents SDK.

What's happening:

  • @composio/core provides Composio integration for Anthropic
  • @anthropic-ai/claude-agent-sdk is the core agent framework
  • dotenv/config loads environment variables
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
ANTHROPIC_API_KEY=your_anthropic_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates with Composio
  • USER_ID identifies the user for session management
  • ANTHROPIC_API_KEY authenticates with Anthropic/Claude
5

Import dependencies

import 'dotenv/config';
import readline from 'node:readline';
import { Composio } from '@composio/core';
import { query, type Options } from "@anthropic-ai/claude-agent-sdk";

dotenv.config();
What's happening:
  • We're importing all necessary libraries including the Claude Agent SDK and Composio
  • The dotenv.config() function loads environment variables from your .env file
  • This setup prepares the foundation for connecting Claude with Genderapi io functionality
6

Create a Composio instance and Tool Router session

async function chat() {
  const { COMPOSIO_API_KEY, USER_ID } = process.env;
  if (!COMPOSIO_API_KEY || !USER_ID) {
    throw new Error('COMPOSIO_API_KEY and USER_ID required in .env');
  }

  const composio = new Composio({ apiKey: COMPOSIO_API_KEY });

  // Create Tool Router session for Genderapi io
  const session = await composio.create(USER_ID, {
    toolkits: ['genderapi_io'],
  });
  const mcpUrl = session?.mcp.url;
What's happening:
  • The function checks for the required COMPOSIO_API_KEY environment variable
  • We're creating a Composio instance using our API key
  • The create method creates a Tool Router session for Genderapi io
  • The returned url is the MCP server URL that your agent will use
7

Configure Claude Agent with MCP

const options: Options = {
  permissionMode: 'bypassPermissions',
  mcpServers: {
    composio: {
      type: 'http',
      url: mcpUrl,
      headers: { 'x-api-key': COMPOSIO_API_KEY }
    }
  },
  systemPrompt: 'You are a helpful assistant with access to Genderapi io tools via Composio.',
  maxTurns: 10,
};
What's happening:
  • We're configuring the Claude Agent options with the MCP server URL
  • permissionMode: 'bypassPermissions' allows the agent to execute operations without asking for permission each time
  • The system prompt instructs the agent that it has access to Genderapi io
  • maxTurns: 10 limits the conversation length to prevent excessive API usage
8

Create client and start chat loop

const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: '
  });

  console.log('\nChat started. Type "exit" to quit.\n');

  let isProcessing = false;

  async function ask(prompt: string) {
    isProcessing = true;
    rl.pause();

    process.stdout.write('Claude is thinking...');
    const stream = query({ prompt, options });

    let firstChunk = true;
    for await (const msg of stream) {
      const content = (msg as any).message?.content || (msg as any).content;
      if (Array.isArray(content)) {
        for (const block of content) {
          if (block.type === 'text' && block.text) {
            if (firstChunk) {
              process.stdout.write('\r\x1b[K');
              process.stdout.write('Claude: ');
              firstChunk = false;
            }
            process.stdout.write(block.text);
          }
        }
      }
    }
    process.stdout.write('\n\n');

    isProcessing = false;
    rl.resume();
    rl.prompt();
  }

  rl.on('line', async (line) => {
    if (isProcessing) return;

    const input = line.trim();
    if (input === 'exit') {
      rl.close();
      process.exit(0);
    }
    if (input) await ask(input);
    else rl.prompt();
  });

  await ask('What can you help me with?');
}
What's happening:
  • The readline interface is created to handle user input and output
  • The query function is used to send the user's input to the agent
  • The chat loop continues until the user types 'exit' or 'quit'
9

Run the application

try {
  await chat();
} catch (error) {
  console.error(error);
  process.exit(1);
}
What's happening:
  • The chat function is the entry point for the application
  • The try-catch block is used to handle any errors that occur

Complete Code

Here's the complete code to get you started with Genderapi io and Claude Agent SDK:

import 'dotenv/config';
import readline from 'node:readline';
import { Composio } from '@composio/core';
import { query, type Options } from "@anthropic-ai/claude-agent-sdk";

async function chat() {
  const { COMPOSIO_API_KEY, USER_ID } = process.env;
  if (!COMPOSIO_API_KEY || !USER_ID) {
    throw new Error('COMPOSIO_API_KEY and USER_ID required in .env');
  }

  const composio = new Composio({ apiKey: COMPOSIO_API_KEY });
  const session = await composio.create(USER_ID, {
    toolkits: ['genderapi_io']
  });
  const mcp_url = session?.mcp.url;

  const options: Options = {
    permissionMode: 'bypassPermissions',
    mcpServers: {
      composio: {
        type: 'http',
        url: mcp_url,
        headers: { 'x-api-key': COMPOSIO_API_KEY }
      }
    },
    systemPrompt: 'You are a helpful assistant with access to Genderapi io tools via Composio.',
    maxTurns: 10,
  };

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: '
  });

  console.log('\nChat started. Type "exit" to quit.\n');

  let isProcessing = false;

  async function ask(prompt: string) {
    isProcessing = true;
    rl.pause();

    process.stdout.write('Claude is thinking...');
    const stream = query({ prompt, options });

    let firstChunk = true;
    for await (const msg of stream) {
      const content = (msg as any).message?.content || (msg as any).content;
      if (Array.isArray(content)) {
        for (const block of content) {
          if (block.type === 'text' && block.text) {
            if (firstChunk) {
              process.stdout.write('\r\x1b[K');
              process.stdout.write('Claude: ');
              firstChunk = false;
            }
            process.stdout.write(block.text);
          }
        }
      }
    }
    process.stdout.write('\n\n');

    isProcessing = false;
    rl.resume();
    rl.prompt();
  }

  rl.on('line', async (line) => {
    if (isProcessing) return;

    const input = line.trim();
    if (input === 'exit') {
      rl.close();
      process.exit(0);
    }
    if (input) await ask(input);
    else rl.prompt();
  });

  await ask('What can you help me with?');
}

try {
  await chat();
} catch (error) {
  console.error(error);
  process.exit(1);
}

Conclusion

You've successfully built a Claude Agent SDK agent that can interact with Genderapi io through Composio's Tool Router.

Key features:

  • Native MCP support through Claude's agent framework
  • Streaming responses for real-time interaction
  • Permission bypass for smooth automated workflows
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.
TOOLS

Supported Tools

Every Genderapi io action and event your agent gets out of the box.

Gender API Get Statistics

Tool to retrieve account usage statistics from GenderAPI.

Query Gender by First Name

Tool to determine gender by querying first name.

Get Gender from Username

Tool to determine gender from a username or nickname.

List Gender API Error Codes

Return a static list of six error codes with HTTP statuses and descriptions for debugging or validating API responses.

Query gender by email address

Tool to determine gender from an email address.

FRAMEWORKS

How to build Genderapi io MCP Agent with another framework

Claude Code logo

Claude Code

Use Genderapi io MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Genderapi io MCP with Claude Cowork

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Genderapi io MCP with OpenAI Agents SDK

Grok Bot logo

Grok Bot

Use Genderapi io MCP with Grok Bot

Codex logo

Codex

Use Genderapi io MCP with Codex

OpenClaw logo

OpenClaw

Use Genderapi io MCP with OpenClaw

Hermes logo

Hermes

Use Genderapi io MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Genderapi io MCP with Atomic Agent

Google ADK logo

Google ADK

Use Genderapi io MCP with Google ADK

LangChain logo

LangChain

Use Genderapi io MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Genderapi io MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Genderapi io MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Genderapi io MCP with LlamaIndex

CrewAI logo

CrewAI

Use Genderapi io MCP with CrewAI

Pydantic AI logo

Pydantic AI

Use Genderapi io MCP with Pydantic AI

AutoGen logo

AutoGen

Use Genderapi io MCP with AutoGen

FAQ

Frequently asked questions

With a standalone Genderapi io MCP server, the agents and LLMs can only access a fixed set of Genderapi io tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Genderapi io and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Claude Agent SDK fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Genderapi io tools.

Yes, absolutely. You can configure which Genderapi io scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Genderapi io data and credentials are handled as safely as possible.

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