# How to integrate Fraudlabs pro MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Fraudlabs pro MCP with OpenAI Agents SDK",
  "toolkit": "Fraudlabs pro",
  "toolkit_slug": "fraudlabs_pro",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/fraudlabs_pro/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/fraudlabs_pro/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:12:16.845Z"
}
```

## Introduction

This guide walks you through connecting Fraudlabs pro to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Fraudlabs pro agent that can screen this new order for fraud risk, send sms otp to verify customer phone, get analysis result for order 123456 through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Fraudlabs pro account through Composio's Fraudlabs pro MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Fraudlabs pro with

- [Claude Agent SDK](https://composio.dev/toolkits/fraudlabs_pro/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/fraudlabs_pro/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/fraudlabs_pro/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/fraudlabs_pro/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/fraudlabs_pro/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/fraudlabs_pro/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/fraudlabs_pro/framework/cli)
- [Google ADK](https://composio.dev/toolkits/fraudlabs_pro/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/fraudlabs_pro/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/fraudlabs_pro/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/fraudlabs_pro/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/fraudlabs_pro/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/fraudlabs_pro/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 Fraudlabs pro
- Configure an AI agent that can use Fraudlabs pro as a tool
- Run a live chat session where you can ask the agent to perform Fraudlabs pro 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 Fraudlabs pro MCP server, and what's possible with it?

The Fraudlabs pro MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Fraudlabs Pro account. It provides structured and secure access to your fraud detection and order screening tools, so your agent can perform actions like screening transactions, sending SMS OTPs, retrieving fraud analysis results, and managing reseller subscriptions on your behalf.
- Real-time fraud screening for orders: Instantly have your agent assess the risk of new transactions before fulfillment to minimize chargebacks and detect suspicious activity.
- Automated SMS OTP verification: Directly send one-time passwords to customers via SMS and verify phone numbers for added transaction security.
- Retrieve and analyze fraud results: Quickly pull fraud analysis reports on previously screened orders for smarter decision-making and audit trails.
- Feedback and continuous learning: Submit order feedback—approved or rejected—to improve future fraud detection accuracy and adapt to evolving threats.
- Reseller account management: Automate account creation and manage subscription plans for resellers directly from your agent, streamlining onboarding and upgrades.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `FRAUDLABS_PRO_CREATE_ACCOUNT` | Create FraudLabs Pro Reseller Sub-Account | Creates a new FraudLabs Pro user account under a reseller account. Requires a Reseller API key (not a regular API key). Use this action to provision new sub-accounts for customers when operating as a FraudLabs Pro reseller. Returns account credentials (username and password) upon successful creation. Prerequisites: - Must have a FraudLabs Pro Reseller account (apply at https://www.fraudlabspro.com/reseller/program) - Requires valid Reseller API key (different from standard FraudLabs Pro API key) - All required fields must contain valid data matching FraudLabs Pro validation rules Important: - Phone numbers should contain only digits (no +, -, spaces, or parentheses) - Country must be valid ISO 3166-1 alpha-2 code (e.g., US, GB, CA) - Industry must be a valid ID from 1-14 |
| `FRAUDLABS_PRO_FLP_FEEDBACK_ORDER` | FLP Feedback Order | Submit fraud screening feedback to improve FraudLabs Pro's machine learning model. Use this after reviewing a screened order to mark it as approved, rejected, or blacklisted. This feedback trains the algorithm to better detect fraud patterns in future transactions. |
| `FRAUDLABS_PRO_FLP_SCREEN_ORDER` | FraudLabs Pro Screen Order | Tool to screen orders for fraud. Use when you need to assess transaction risk before fulfillment. |
| `FRAUDLABS_PRO_GET_ORDER_RESULT2` | Get FraudLabs Pro Order Result (v2) | Tool to retrieve an existing transaction from FraudLabs Pro fraud detection system using the v2 API. This API is only available for paid plans. |
| `FRAUDLABS_PRO_GET_SMS_VERIFICATION_RESULT` | Get SMS Verification Result | Verify an OTP (one-time password) received via SMS. Returns 'Y' if the OTP is valid, 'N' if invalid or expired. Must be called after using Send SMS Verification to obtain a transaction ID. |
| `FRAUDLABS_PRO_SEND_SMS_VERIFICATION` | Send SMS OTP Verification | Sends an SMS message containing a one-time password (OTP) to verify a user's phone number. The API generates a random 6-digit OTP, replaces the placeholder in your message template, and sends the SMS to the recipient. Returns a transaction ID that you must use with the Get SMS Verification Result action to verify the OTP the user enters. Testing: Use phone number '+11' for sandbox testing (no credits deducted). For verification testing with sandbox number, use OTP '123456'. |
| `FRAUDLABS_PRO_SUBSCRIBE_PLAN` | Subscribe Reseller Plan | Tool to subscribe a reseller account to a specific plan. Use after obtaining a reseller API key and selecting a plan. Example: Subscribe user "john_doe" to the MICRO plan. |
| `FRAUDLABS_PRO_WEBHOOK_ORDER_STATUS_CHANGED` | Test Order Status Changed Webhook Delivery | Tool to send a test webhook payload to the provided callback URL for FraudLabs Pro order status change notifications. This helps validate your endpoint behavior. Important: FraudLabs Pro webhook registration must be configured manually via dashboard. |

## Supported Triggers

None listed.

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

The Fraudlabs pro MCP server is an implementation of the Model Context Protocol that connects your AI agent to Fraudlabs pro. It provides structured and secure access so your agent can perform Fraudlabs pro 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 Fraudlabs pro 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 Fraudlabs pro.
```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 fraudlabs_pro.
- The router checks the user's Fraudlabs pro connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Fraudlabs pro.
- This approach keeps things lightweight and lets the agent request Fraudlabs pro tools only when needed during the conversation.
```python
# Create a Fraudlabs pro Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["fraudlabs_pro"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Fraudlabs pro
const session = await composio.create(userId as string, {
  toolkits: ['fraudlabs_pro'],
});
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 Fraudlabs pro. "
        "Help users perform Fraudlabs pro 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 Fraudlabs pro. Help users perform Fraudlabs pro 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=["fraudlabs_pro"]
)
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 Fraudlabs pro. "
        "Help users perform Fraudlabs pro 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: ['fraudlabs_pro'],
  });
  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 Fraudlabs pro. Help users perform Fraudlabs pro 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 Fraudlabs pro MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Fraudlabs pro.
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 Fraudlabs pro MCP Agent with another framework

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

## Related Toolkits

- [Addresszen](https://composio.dev/toolkits/addresszen) - Addresszen is a real-time address autocomplete and verification service. It helps capture accurate, deliverable addresses with instant suggestions and validation.
- [Asin data api](https://composio.dev/toolkits/asin_data_api) - Asin data api gives you detailed, real-time product data from Amazon, including price, rank, and reviews. Perfect for e-commerce pros and data-driven marketers who need instant marketplace insights.
- [Baselinker](https://composio.dev/toolkits/baselinker) - BaseLinker is an all-in-one e-commerce management platform connecting stores, marketplaces, carriers, and more. It streamlines order processing, inventory control, and automates your sales operations.
- [Bestbuy](https://composio.dev/toolkits/bestbuy) - Best Buy is a leading retailer offering APIs for product, store, and recommendation data. Instantly access up-to-date retail insights for smarter shopping and decision-making.
- [Btcpay server](https://composio.dev/toolkits/btcpay_server) - BTCPay Server is a free, open-source, self-hosted Bitcoin payment processor. It lets merchants accept Bitcoin payments directly, cutting out middlemen and boosting privacy.
- [Cdr platform](https://composio.dev/toolkits/cdr_platform) - Cdr platform is an API for purchasing carbon dioxide removal services. It enables businesses to offset emissions by accessing verified carbon removal projects.
- [Cloudcart](https://composio.dev/toolkits/cloudcart) - CloudCart is an e-commerce platform for building and managing online stores. It helps businesses streamline product listings, orders, and customer engagement.
- [Countdown api](https://composio.dev/toolkits/countdown_api) - Countdown API gives you real-time, structured eBay product data, reviews, and seller feedback. Perfect for powering price monitoring, product research, or marketplace analytics workflows.
- [Dpd2](https://composio.dev/toolkits/dpd2) - Dpd2 is a robust email management platform for handling, sorting, and automating email workflows. Streamline your communications and boost productivity with advanced sorting, labeling, and response tools.
- [Finerworks](https://composio.dev/toolkits/finerworks) - FinerWorks is an online platform for fine art and photo printing services. Artists and photographers use it to order custom prints and manage print inventory efficiently.
- [Fingertip](https://composio.dev/toolkits/fingertip) - Fingertip is a business management platform for selling, booking, and customer engagement—all from a single link. It helps businesses streamline operations and connect with customers across social channels.
- [Gift up](https://composio.dev/toolkits/gift_up) - Gift Up! is a digital platform for selling, managing, and redeeming gift cards online. It streamlines promotions and gift card transactions for businesses and their customers.
- [Goody](https://composio.dev/toolkits/goody) - Goody is a gifting platform that lets users send gifts and physical products without handling logistics. It streamlines gifting by managing delivery, fulfillment, and recipient experience.
- [Gumroad](https://composio.dev/toolkits/gumroad) - Gumroad is a platform for selling digital products, physical goods, and memberships with a simple checkout and marketing tools. It streamlines creator payouts and helps you grow your audience effortlessly.
- [Instacart](https://composio.dev/toolkits/instacart) - Instacart is an online grocery delivery and pickup service platform. It lets you discover local retailers and create shoppable lists and recipes with ease.
- [Junglescout](https://composio.dev/toolkits/junglescout) - Junglescout is an Amazon product research and analytics platform for sellers. It delivers sales estimates, competitive insights, and optimization tools to boost your Amazon business.
- [Ko fi](https://composio.dev/toolkits/ko_fi) - Ko-fi is a platform that lets creators receive donations, memberships, and sales from fans. It helps creators monetize their work and grow their audience with minimal friction.
- [Lemon squeezy](https://composio.dev/toolkits/lemon_squeezy) - Lemon Squeezy is a payments and subscription platform built for software companies. It makes managing payments, taxes, and customer subscriptions effortless.
- [Loyverse](https://composio.dev/toolkits/loyverse) - Loyverse is a point-of-sale (POS) platform for small businesses, offering tools for sales, inventory, and customer loyalty. It helps streamline retail operations and boost customer engagement.
- [Memberstack](https://composio.dev/toolkits/memberstack) - Memberstack lets you add user authentication, payments, and member management to your website—no backend code required. Easily manage your site's members and subscriptions from a single platform.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Fraudlabs pro MCP?

With a standalone Fraudlabs pro MCP server, the agents and LLMs can only access a fixed set of Fraudlabs pro tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Fraudlabs pro 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 Fraudlabs pro tools.

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

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

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