# How to integrate Data247 MCP with CrewAI

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

## Introduction

This guide walks you through connecting Data247 to CrewAI 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 CrewAI 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

- [OpenAI Agents SDK](https://composio.dev/toolkits/data247/framework/open-ai-agents-sdk)
- [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)

## TL;DR

Here's what you'll learn:
- Get a Composio API key and configure your Data247 connection
- Set up CrewAI with an MCP enabled agent
- Create a Tool Router session or standalone MCP server for Data247
- Build a conversational loop where your agent can execute Data247 operations

## What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.
Key features include:
- Agent Roles: Define specialized agents with specific goals and backstories
- Task Management: Create tasks with clear descriptions and expected outputs
- Crew Orchestration: Combine agents and tasks into collaborative workflows
- MCP Integration: Connect to external tools through Model Context Protocol

## 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:
- Python 3.9 or higher
- A Composio account and API key
- A Data247 connection authorized in Composio
- An OpenAI API key for the CrewAI LLM
- Basic familiarity with Python

### 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).
- 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

**What's happening:**
- composio connects your agent to Data247 via MCP
- crewai provides Agent, Task, Crew, and LLM primitives
- crewai-tools[mcp] includes MCP helpers
- python-dotenv loads environment variables from .env
```bash
pip install composio crewai crewai-tools[mcp] python-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 scopes the session to your account
- OPENAI_API_KEY lets CrewAI use your chosen OpenAI model
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

**What's happening:**
- CrewAI classes define agents and tasks, and run the workflow
- MCPServerHTTP connects the agent to an MCP endpoint
- Composio will give you a short lived Data247 MCP URL
```python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
```

### 5. Create a Composio Tool Router session for Data247

**What's happening:**
- You create a Data247 only session through Composio
- Composio returns an MCP HTTP URL that exposes Data247 tools
```python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["data247"])

url = session.mcp.url
```

### 6. Initialize the MCP Server

**What's Happening:**
- Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
- MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
- Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
- Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
- Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.
```python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
```

### 7. Create a CLI Chatloop and define the Crew

**What's Happening:**
- Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
- Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
- Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
- Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
- Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
- Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.
```python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
```

## Complete Code

```python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["data247"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

    while True:
        user_input = input("You: ").strip()

        if user_input.lower() in ["exit", "quit", "bye"]:
            print("\nGoodbye!")
            break

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")
```

## Conclusion

You now have a CrewAI agent connected to Data247 through Composio's Tool Router. The agent can perform Data247 operations through natural language commands.
Next steps:
- Add role-specific instructions to customize agent behavior
- Plug in more toolkits for multi-app workflows
- Chain tasks for complex multi-step operations

## How to build Data247 MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/data247/framework/open-ai-agents-sdk)
- [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)

## Related Toolkits

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- [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.
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- [Anonyflow](https://composio.dev/toolkits/anonyflow) - Anonyflow is a service for encryption-based data anonymization and secure data sharing. It helps organizations meet GDPR, CCPA, and HIPAA data privacy compliance requirements.
- [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 CrewAI?

Yes, you can. CrewAI 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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