# How to integrate Genderapi io MCP with Claude Agent SDK

```json
{
  "title": "How to integrate Genderapi io MCP with Claude Agent SDK",
  "toolkit": "Genderapi io",
  "toolkit_slug": "genderapi_io",
  "framework": "Claude Agent SDK",
  "framework_slug": "claude-agents-sdk",
  "url": "https://composio.dev/toolkits/genderapi_io/framework/claude-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/genderapi_io/framework/claude-agents-sdk.md",
  "updated_at": "2026-05-12T10:12:41.925Z"
}
```

## 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 determine gender from a customer email address, infer gender based on a given username, get gender prediction for full names in a csv 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

- [OpenAI Agents SDK](https://composio.dev/toolkits/genderapi_io/framework/open-ai-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/genderapi_io/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/genderapi_io/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/genderapi_io/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/genderapi_io/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/genderapi_io/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/genderapi_io/framework/cli)
- [Google ADK](https://composio.dev/toolkits/genderapi_io/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/genderapi_io/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/genderapi_io/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/genderapi_io/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/genderapi_io/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/genderapi_io/framework/crew-ai)

## 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.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `GENDERAPI_IO_GENDERAPI_GET_STATS` | Gender API Get Statistics | Tool to retrieve account usage statistics from GenderAPI.io. Use when you need to check remaining API credits and expiry. |
| `GENDERAPI_IO_GENDER_API_QUERY_BY_FIRST_NAME` | Query Gender by First Name | Tool to determine gender by querying first name. Use when you need to infer likely gender for a given name with optional localization hints. |
| `GENDERAPI_IO_GET_GENDER_FROM_USERNAME` | Get Gender from Username | Tool to determine gender from a username or nickname. Use when you have an alias or handle and want to infer gender from that identifier. |
| `GENDERAPI_IO_LIST_ERROR_CODES` | List Gender API Error Codes | Tool to list all possible error codes returned by Gender API. Use when debugging or validating API responses. |
| `GENDERAPI_IO_QUERY_BY_EMAIL_ADDRESS` | Query gender by email address | Tool to determine gender from an email address. Use when you need to infer gender for personalization after obtaining proper consent. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Genderapi io MCP server is an implementation of the Model Context Protocol that connects your AI agent to Genderapi io. It provides structured and secure access so your agent can perform Genderapi io operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 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

### 1. Getting API Keys for Claude/Anthropic and Composio

Claude/Anthropic API Key
- Go to the [Anthropic Console](https://console.anthropic.com/settings/organization/api-keys) 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](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Navigate to your API settings and generate a new API key.
- Store this key securely as you'll need it for authentication.

### 2. Install dependencies

No description provided.
```python
pip install composio-anthropic claude-agent-sdk python-dotenv
```

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

### 3. Set up environment variables

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
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
ANTHROPIC_API_KEY=your_anthropic_api_key_here
```

### 4. Import dependencies

No description provided.
```python
import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions
import os
from composio import Composio
from dotenv import load_dotenv

load_dotenv()
```

```typescript
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();
```

### 5. Create a Composio instance and Tool Router session

No description provided.
```python
async def chat_with_remote_mcp():
    api_key = os.getenv("COMPOSIO_API_KEY")
    if not api_key:
        raise RuntimeError("COMPOSIO_API_KEY is not set")

    composio = Composio(api_key=api_key)

    # Create Tool Router session for Genderapi io
    mcp_server = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["genderapi_io"]
    )

    url = mcp_server.mcp.url

    if not url:
        raise ValueError("Session URL not found")
```

```typescript
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;
```

### 6. Configure Claude Agent with MCP

No description provided.
```python
# Configure remote MCP server for Claude
options = ClaudeAgentOptions(
    permission_mode="bypassPermissions",
    mcp_servers={
        "composio": {
            "type": "http",
            "url": url,
            "headers": {
                "x-api-key": os.getenv("COMPOSIO_API_KEY")
            }
        }
    },
    system_prompt="You are a helpful assistant with access to Genderapi io tools via Composio.",
    max_turns=10
)
```

```typescript
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,
};
```

### 7. Create client and start chat loop

No description provided.
```python
# Create client with context manager
async with ClaudeSDKClient(options=options) as client:
    print("\nChat started. Type 'exit' or 'quit' to end.\n")

    # Main chat loop
    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit"}:
            print("Goodbye!")
            break

        # Send query
        await client.query(user_input)

        # Receive and print response
        print("Claude: ", end="", flush=True)
        async for message in client.receive_response():
            if hasattr(message, "content"):
                for block in message.content:
                    if hasattr(block, "text"):
                        print(block.text, end="", flush=True)
        print()
```

```typescript
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?');
}
```

### 8. Run the application

No description provided.
```python
if __name__ == "__main__":
    asyncio.run(chat_with_remote_mcp())
```

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

## Complete Code

```python
import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions
import os
from composio import Composio
from dotenv import load_dotenv

load_dotenv()

async def chat_with_remote_mcp():
    api_key = os.getenv("COMPOSIO_API_KEY")
    if not api_key:
        raise RuntimeError("COMPOSIO_API_KEY is not set")

    composio = Composio(api_key=api_key)

    # Create Tool Router session for Genderapi io
    mcp_server = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["genderapi_io"]
    )

    url = mcp_server.mcp.url

    if not url:
        raise ValueError("Session URL not found")

    # Configure remote MCP server for Claude
    options = ClaudeAgentOptions(
        permission_mode="bypassPermissions",
        mcp_servers={
            "composio": {
                "type": "http",
                "url": url,
                "headers": {
                    "x-api-key": os.getenv("COMPOSIO_API_KEY")
                }
            }
        },
        system_prompt="You are a helpful assistant with access to Genderapi io tools via Composio.",
        max_turns=10
    )

    # Create client with context manager
    async with ClaudeSDKClient(options=options) as client:
        print("\nChat started. Type 'exit' or 'quit' to end.\n")

        # Main chat loop
        while True:
            user_input = input("You: ").strip()
            if user_input.lower() in {"exit", "quit"}:
                print("Goodbye!")
                break

            # Send query
            await client.query(user_input)

            # Receive and print response
            print("Claude: ", end="", flush=True)
            async for message in client.receive_response():
                if hasattr(message, "content"):
                    for block in message.content:
                        if hasattr(block, "text"):
                            print(block.text, end="", flush=True)
            print()

if __name__ == "__main__":
    asyncio.run(chat_with_remote_mcp())
```

```typescript
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.

## How to build Genderapi io MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/genderapi_io/framework/open-ai-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/genderapi_io/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/genderapi_io/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/genderapi_io/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/genderapi_io/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/genderapi_io/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/genderapi_io/framework/cli)
- [Google ADK](https://composio.dev/toolkits/genderapi_io/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/genderapi_io/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/genderapi_io/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/genderapi_io/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/genderapi_io/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/genderapi_io/framework/crew-ai)

## Related Toolkits

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- [Api sports](https://composio.dev/toolkits/api_sports) - Api sports is a comprehensive sports data platform covering 2,000+ competitions with live scores and 15+ years of stats. Instantly access up-to-date sports information for analysis, apps, or chatbots.
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- [Beaconchain](https://composio.dev/toolkits/beaconchain) - Beaconchain is a real-time analytics platform for Ethereum 2.0's Beacon Chain. It provides detailed insights into validators, blocks, and overall network performance.
- [Big data cloud](https://composio.dev/toolkits/big_data_cloud) - BigDataCloud provides APIs for geolocation, reverse geocoding, and address validation. Instantly access reliable location intelligence to enhance your applications and workflows.
- [Bigpicture io](https://composio.dev/toolkits/bigpicture_io) - BigPicture.io offers APIs for accessing detailed company and profile data. Instantly enrich your applications with up-to-date insights on 20M+ businesses.
- [Bitquery](https://composio.dev/toolkits/bitquery) - Bitquery is a blockchain data platform offering indexed, real-time, and historical data from 40+ blockchains via GraphQL APIs. Get unified, reliable access to complex on-chain data for analytics, trading, and research.
- [Brightdata](https://composio.dev/toolkits/brightdata) - Brightdata is a leading web data platform offering advanced scraping, SERP APIs, and anti-bot tools. It lets you collect public web data at scale, bypassing blocks and friction.
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- [Byteforms](https://composio.dev/toolkits/byteforms) - Byteforms is an all-in-one platform for creating forms, managing submissions, and integrating data. It streamlines workflows by centralizing form data collection and automation.
- [Cabinpanda](https://composio.dev/toolkits/cabinpanda) - Cabinpanda is a data collection platform for building and managing online forms. It helps streamline how you gather, organize, and analyze responses.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Genderapi io MCP?

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.

### Can I use Tool Router MCP with Claude Agent SDK?

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.

### Can I manage the permissions and scopes for Genderapi io while using Tool Router?

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.

### How safe is my data with Composio Tool Router?

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.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)