# How to integrate Data247 MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Data247 MCP with OpenAI Agents SDK",
  "toolkit": "Data247",
  "toolkit_slug": "data247",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/data247/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/data247/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-03-29T06:29:36.841Z"
}
```

## Introduction

This guide walks you through connecting Data247 to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Data247 agent that can validate an email address for accuracy, find carrier for a phone number, enrich contact record with address details through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Data247 account through Composio's Data247 MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Data247 with

- [Claude Agent SDK](https://composio.dev/toolkits/data247/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/data247/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/data247/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/data247/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/data247/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/data247/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/data247/framework/cli)
- [Google ADK](https://composio.dev/toolkits/data247/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/data247/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/data247/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/data247/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/data247/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/data247/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 Data247
- Configure an AI agent that can use Data247 as a tool
- Run a live chat session where you can ask the agent to perform Data247 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 Data247 MCP server, and what's possible with it?

The Data247 MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Data247 account. It provides structured and secure access so your agent can perform Data247 operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `DATA247_APPEND_EMAIL` | Append Email by Name and Address | Tool to find email addresses associated with name and postal address. Use when you need to discover the email address for a contact given their name and residential or business address. |
| `DATA247_APPEND_GENDER` | Append Gender by First Name | Tool to determine a person's probable gender based on their first (given) name. Use when you need to infer gender from a first name with confidence percentage. |
| `DATA247_APPEND_NAME` | Append Name (CNAM Lookup) | Tool to get CNAM (Caller Name Delivery) data for a phone number. Use when you need to find the registered owner name associated with a phone number from carrier-grade telco data. |
| `DATA247_APPEND_PHONE` | Append Phone to Contact | Tool to append phone numbers to contact records using name and address. Use when you need to find phone numbers (business or residential) associated with a person's name and address. Returns primary phone with type classification and additional phone numbers if available. |
| `DATA247_APPEND_PROPERTY_DATA` | Append Property Data | Tool to retrieve comprehensive property data including home stats, ownership information, financials and foreclosure data. Use when you need detailed property information for any US address. |
| `DATA247_APPEND_REVERSE_EMAIL_LOOKUP` | Append Reverse Email Lookup | Tool to perform reverse email lookup and retrieve contact information. Use when you need to find the name, phone, and address associated with an email address. Returns personal identifiers, contact details, and address components. |
| `DATA247_APPEND_REVERSE_PHONE_LOOKUP` | Append Reverse Phone Lookup | Tool to perform reverse phone lookup and retrieve name and address information. Use when you need to find the contact details associated with a phone number. Returns personal identifiers, address components, and demographic data. |
| `DATA247_APPEND_REVERSE_ZIPCODE_LOOKUP` | Append Reverse Zipcode Lookup | Tool to get formatted address components from a zipcode. Use when you need to retrieve city, state, county, congressional district, timezone, and other location data for a given 5 or 9 digit zipcode. |
| `DATA247_APPEND_ZIP_4_TO_ADDRESS` | Append ZIP+4 to Address | Tool to append ZIP+4 postal codes to addresses and standardize address information. Use when you need to obtain complete 9-digit zipcodes for accurate mail delivery or address validation. |
| `DATA247_CHECK_ACCOUNT_BALANCE` | Check Account Balance | Tool to check Data247 account balance and remaining credits. Use when you need to verify available credits before making API requests. |
| `DATA247_GET_CARRIER_TYPE_FOR_PHONE_NUMBER` | Get Carrier Type for Phone Number | Tool to determine carrier type for USA and Canadian phone numbers. Use when you need to identify if a phone number is a Mobile, Landline, or VOIP line. Returns the carrier type classification for the queried phone number. |
| `DATA247_GET_USA_CARRIER_AND_SMS_MMS_GATEWAY_INFO` | Get USA Carrier and SMS/MMS Gateway Info | Tool to get carrier information, wireless status, and SMS/MMS gateway addresses for USA phone numbers. Use when you need to obtain carrier name, determine if a number is wireless, or retrieve email-to-SMS and email-to-MMS gateway addresses for sending messages to a phone number. |
| `DATA247_CHECK_PHONE_NUMBER_FOR_FRAUD_SPAM` | Check Phone Number for Fraud/SPAM | Tool to check if a phone number is on SPAM callers list. Use when you need to verify if a phone number has been reported as spam or fraud. Returns spam risk level (Low, Medium, or High) and reason for the classification. |
| `DATA247_ADD_PHONE_TO_DO_NOT_CALL_LIST` | Add Phone to Do-Not-Call List | Tool to add phone numbers to your internal do-not-call (DNC) list. Use when you need to mark phone numbers that should not be contacted. Returns confirmation with action status 'ADDED' for successfully added numbers. |
| `DATA247_CHECK_PHONE_NUMBER_AGAINST_DNC_LISTS` | Check Phone Number Against DNC Lists | Tool to check if a phone number exists in Federal or internal Do-Not-Call list. Use when you need to verify if a phone number is safe to dial or if it's on a DNC list. Returns status indicating whether phone is OK-TO-DIAL, FEDERAL DNC, INTERNAL DNC, or UNAUTHORIZED. |
| `DATA247_REMOVE_PHONE_FROM_DO_NOT_CALL_LIST` | Remove Phone from Do-Not-Call List | Tool to remove phone numbers from your internal do-not-call (DNC) list. Use when you need to unmark phone numbers that were previously marked as do-not-call. Returns confirmation with action status 'REMOVED' for successfully removed numbers. |
| `DATA247_LOCATE_IP_ADDRESS_GET_GEOLOCATION_DATA` | Locate IP Address - Get Geolocation Data | Tool to get geolocation data for IPv4 addresses including city, state, country, and coordinates. Use when you need to determine the geographic location of an IP address worldwide. |
| `DATA247_GET_CARRIER_AND_GATEWAY_INFO_TEXT_SERVICE` | Get Carrier and Gateway Info (Text@ Service) | Tool to get carrier information, wireless status, and email-to-SMS/MMS gateway addresses for USA and Canadian phone numbers using the Text@ service. Use when you need to obtain carrier name, determine if a number is wireless, or retrieve email gateway addresses for sending SMS/MMS messages to a phone number. |
| `DATA247_VERIFY_USER_IDENTITY_TRUST_SCORE` | Verify User Identity Trust Score | Tool to verify user signup legitimacy and detect account creation fraud. Use when you need to check if a new user signup is from a legitimate user or a fraud attempt. Returns a trust score (1-100) and match statistics from cross-referencing user data with Data247's resources. Higher scores indicate legitimate signups; lower scores suggest potential fraud. Providing more user data parameters enables better fraud detection accuracy. |
| `DATA247_VERIFY_EMAIL_ADDRESS` | Verify Email Address | Tool to verify email address format and mailbox existence. Use when you need to validate that an email address is properly formatted and has a working mailbox. Also identifies free accounts and disposable email addresses. |
| `DATA247_VERIFY_PHONE_NUMBER_ACTIVE_STATUS` | Verify Phone Number Active Status | Tool to verify if a phone number is in-service and accepts inbound calls. Use when you need to validate phone number active status with confidence level. Returns whether the phone is active (YES/NO) and verification confidence (HIGH/LOW). Available in 100+ countries excluding USA/Canada. |
| `DATA247_VERIFY_USA_POSTAL_ADDRESS` | Verify USA Postal Address | Tool to verify and correct USA postal addresses to USPS standards. Use when you need to validate an address and get corrected components including street, city, state, ZIP, and detailed location data. Returns whether the address is valid and provides USPS-standardized address components. |

## Supported Triggers

None listed.

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

The Data247 MCP server is an implementation of the Model Context Protocol that connects your AI agent to Data247. It provides structured and secure access so your agent can perform Data247 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 Data247 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 Data247.
```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 data247.
- The router checks the user's Data247 connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Data247.
- This approach keeps things lightweight and lets the agent request Data247 tools only when needed during the conversation.
```python
# Create a Data247 Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["data247"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Data247
const session = await composio.create(userId as string, {
  toolkits: ['data247'],
});
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 Data247. "
        "Help users perform Data247 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 Data247. Help users perform Data247 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=["data247"]
)
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 Data247. "
        "Help users perform Data247 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: ['data247'],
  });
  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 Data247. Help users perform Data247 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 Data247 MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Data247.
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 Data247 MCP Agent with another framework

- [Claude Agent SDK](https://composio.dev/toolkits/data247/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/data247/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/data247/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/data247/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/data247/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/data247/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/data247/framework/cli)
- [Google ADK](https://composio.dev/toolkits/data247/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/data247/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/data247/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/data247/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/data247/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/data247/framework/crew-ai)

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- [Api ninjas](https://composio.dev/toolkits/api_ninjas) - Api ninjas offers 120+ public APIs spanning categories like weather, finance, sports, and more. Developers use it to supercharge apps with real-time data and actionable endpoints.
- [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.
- [Apify](https://composio.dev/toolkits/apify) - Apify is a cloud platform for building, deploying, and managing web scraping and automation tools called Actors. It lets you automate data extraction and workflow tasks at scale—no infrastructure headaches.
- [Autom](https://composio.dev/toolkits/autom) - Autom is a lightning-fast search engine results data platform for Google, Bing, and Brave. Developers use it to access fresh, low-latency SERP data on demand.
- [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.
- [Builtwith](https://composio.dev/toolkits/builtwith) - BuiltWith is a web technology profiler that uncovers the technologies powering any website. Gain actionable insights into analytics, hosting, and content management stacks for smarter research and lead generation.
- [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.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Data247 MCP?

With a standalone Data247 MCP server, the agents and LLMs can only access a fixed set of Data247 tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Data247 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 Data247 tools.

### Can I manage the permissions and scopes for Data247 while using Tool Router?

Yes, absolutely. You can configure which Data247 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 Data247 data and credentials are handled as safely as possible.

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