# How to integrate Twocaptcha MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Twocaptcha MCP with OpenAI Agents SDK",
  "toolkit": "Twocaptcha",
  "toolkit_slug": "twocaptcha",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/twocaptcha/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/twocaptcha/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:29:19.278Z"
}
```

## Introduction

This guide walks you through connecting Twocaptcha to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Twocaptcha agent that can solve image captcha for login automation, bypass recaptcha on registration form, solve hcaptcha for ticket booking bot through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Twocaptcha account through Composio's Twocaptcha MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Twocaptcha with

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

## TL;DR

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

## What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.
Key features include:
- Hosted MCP Tools: Connect to external services through hosted MCP endpoints
- SQLite Sessions: Persist conversation history across interactions
- Simple API: Clean interface with Agent, Runner, and tool configuration
- Streaming Support: Real-time response streaming for interactive applications

## What is the Twocaptcha MCP server, and what's possible with it?

The Twocaptcha MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Twocaptcha account. It provides structured and secure access to 2Captcha's automated CAPTCHA-solving services, so your agent can initiate, monitor, and manage CAPTCHA-solving tasks for a variety of applications on your behalf.
- Automated CAPTCHA solving: Instantly create new CAPTCHA-solving tasks for supported CAPTCHA types, letting your agent bypass complex verification challenges.
- CAPTCHA task management: Monitor the status of active CAPTCHA tasks and retrieve results as soon as they're solved.
- Flexible CAPTCHA parameter handling: Pass specific parameters and configuration options to handle different CAPTCHA types, including image, audio, and reCAPTCHA challenges.
- Integration with automation workflows: Seamlessly plug CAPTCHA-solving into larger automated processes, reducing manual intervention for form submissions, scraping, and more.
- Error detection and retry logic: Enable your agent to handle failed CAPTCHA attempts and automatically trigger retries or alternative logic as needed.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `TWOCAPTCHA_CREATE_TASK` | Create CAPTCHA Task | Creates a new CAPTCHA-solving task and returns a taskId for retrieving results. Supports multiple captcha types: reCAPTCHA v2/v3, hCaptcha, image recognition, and more. After creating a task, use the returned taskId with getTaskResult to retrieve the solution. Requires sufficient account balance to process tasks. |
| `TWOCAPTCHA_GET_BALANCE` | Get Account Balance | Tool to retrieve your 2Captcha account balance in USD. Use when you need to check available funds before creating captcha-solving tasks. |
| `TWOCAPTCHA_REPORT_INCORRECT` | Report Incorrect CAPTCHA | Report that a CAPTCHA solution was declined by the target website. Use this action to provide feedback when a solved CAPTCHA is rejected, enabling 2Captcha to improve accuracy and potentially issue refunds for incorrectly solved tasks. |
| `TWOCAPTCHA_REPORT_INCORRECT_IMAGE_CAPTCHA` | Report Incorrect Image Captcha | Report that an image captcha solution was incorrect. Alias for reportIncorrect method. Use this when you receive an incorrect captcha solution from 2Captcha to report the issue. Made for compatibility with certain software libraries. Successful reports may result in refunds. |
| `TWOCAPTCHA_TEST_REQUEST` | Test Request Parameters | Debug method to verify how the API parses request parameters. Use when troubleshooting integration issues or validating parameter formats. |

## Supported Triggers

None listed.

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

The Twocaptcha MCP server is an implementation of the Model Context Protocol that connects your AI agent to Twocaptcha. It provides structured and secure access so your agent can perform Twocaptcha 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 OpenAI API Key
- Primary know-how of OpenAI Agents SDK
- A live Twocaptcha project
- Some knowledge of Python or Typescript

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider.
- 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).
- Go to Settings and copy your API key.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

```typescript
npm install @composio/openai-agents @openai/agents dotenv
```

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

What's happening:
- You're importing all necessary libraries.
- The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Twocaptcha.
```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
```

### 5. Set up the Composio instance

No description provided.
```python
load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
```

```typescript
dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
```

### 6. Create a Tool Router session

What is happening:
- You give the Tool Router the user id and the toolkits you want available. Here, it is only twocaptcha.
- The router checks the user's Twocaptcha connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Twocaptcha.
- This approach keeps things lightweight and lets the agent request Twocaptcha tools only when needed during the conversation.
```python
# Create a Twocaptcha Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["twocaptcha"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Twocaptcha
const session = await composio.create(userId as string, {
  toolkits: ['twocaptcha'],
});
const mcpUrl = session.mcp.url;
```

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Twocaptcha. "
        "Help users perform Twocaptcha operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
```

```typescript
// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Twocaptcha. Help users perform Twocaptcha operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
```

### 8. Start chat loop and handle conversation

No description provided.
```python
print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

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

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

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

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["twocaptcha"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Twocaptcha. "
        "Help users perform Twocaptcha operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

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

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['twocaptcha'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Twocaptcha. Help users perform Twocaptcha operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

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

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});
```

## Conclusion

This was a starter code for integrating Twocaptcha MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Twocaptcha.
Key features:
- Hosted MCP tool integration through Composio's Tool Router
- SQLite session persistence for conversation history
- Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

## How to build Twocaptcha MCP Agent with another framework

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

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- [Appveyor](https://composio.dev/toolkits/appveyor) - AppVeyor is a cloud-based continuous integration service for building, testing, and deploying applications. It helps developers automate and streamline their software delivery pipelines.
- [Backendless](https://composio.dev/toolkits/backendless) - Backendless is a backend-as-a-service platform for mobile and web apps, offering database, file storage, user authentication, and APIs. It helps developers ship scalable applications faster without managing server infrastructure.
- [Baserow](https://composio.dev/toolkits/baserow) - Baserow is an open-source no-code database platform for building collaborative data apps. It makes it easy for teams to organize data and automate workflows without writing code.
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## Frequently Asked Questions

### What are the differences in Tool Router MCP and Twocaptcha MCP?

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

### Can I use Tool Router MCP with OpenAI Agents SDK?

Yes, you can. OpenAI Agents 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 Twocaptcha tools.

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

Yes, absolutely. You can configure which Twocaptcha 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 Twocaptcha data and credentials are handled as safely as possible.

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