# How to integrate Data247 MCP with LangChain

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

## Introduction

This guide walks you through connecting Data247 to LangChain 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 LangChain 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)
- [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
- Connect your Data247 project to Composio
- Create a Tool Router MCP session for Data247
- Initialize an MCP client and retrieve Data247 tools
- Build a LangChain agent that can interact with Data247
- Set up an interactive chat interface for testing

## What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.
Key features include:
- Agent Framework: Build agents that can use tools and make decisions
- MCP Integration: Connect to external services through Model Context Protocol adapters
- Memory Management: Maintain conversation history across interactions
- Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

## 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

No description provided.

### 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

No description provided.
```python
pip install composio-langchain langchain-mcp-adapters langchain python-dotenv
```

```typescript
npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates your requests to Composio's API
- COMPOSIO_USER_ID identifies the user for session management
- OPENAI_API_KEY enables access to OpenAI's language models
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

No description provided.
```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()
```

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
```

### 5. Initialize Composio client

What's happening:
- We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
- Creating a Composio instance that will manage our connection to Data247 tools
- Validating that COMPOSIO_USER_ID is also set before proceeding
```python
async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))

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

```typescript
const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
```

### 6. Create a Tool Router session

What's happening:
- We're creating a Tool Router session that gives your agent access to Data247 tools
- The create method takes the user ID and specifies which toolkits should be available
- The returned session.mcp.url is the MCP server URL that your agent will use
- This approach allows the agent to dynamically load and use Data247 tools as needed
```python
# Create Tool Router session for Data247
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['data247']
)

url = session.mcp.url
```

```typescript
const session = await composio.create(
    userId as string,
    {
        toolkits: ['data247']
    }
);

const url = session.mcp.url;
```

### 7. Configure the agent with the MCP URL

No description provided.
```python
client = MultiServerMCPClient({
    "data247-agent": {
        "transport": "streamable_http",
        "url": session.mcp.url,
        "headers": {
            "x-api-key": os.getenv("COMPOSIO_API_KEY")
        }
    }
})

tools = await client.get_tools()

agent = create_agent("gpt-5", tools)
```

```typescript
const client = new MultiServerMCPClient({
    "data247-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
```

### 8. Set up interactive chat interface

No description provided.
```python
conversation_history = []

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Data247 related question or task to the agent.\n")

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

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

    if not user_input:
        continue

    conversation_history.append({"role": "user", "content": user_input})
    print("\nAgent is thinking...\n")

    response = await agent.ainvoke({"messages": conversation_history})
    conversation_history = response['messages']
    final_response = response['messages'][-1].content
    print(f"Agent: {final_response}\n")
```

```typescript
let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any Data247 related question or task to the agent.\n");

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

rl.prompt();

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

    if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
        console.log("\nGoodbye!");
        rl.close();
        process.exit(0);
    }

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

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

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

### 9. Run the application

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

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

## Complete Code

```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()

async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    
    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
    
    session = composio.create(
        user_id=os.getenv("COMPOSIO_USER_ID"),
        toolkits=['data247']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "data247-agent": {
            "transport": "streamable_http",
            "url": url,
            "headers": {
                "x-api-key": os.getenv("COMPOSIO_API_KEY")
            }
        }
    })
    
    tools = await client.get_tools()
  
    agent = create_agent("gpt-5", tools)
    
    conversation_history = []
    
    print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
    print("Ask any Data247 related question or task to the agent.\n")
    
    while True:
        user_input = input("You: ").strip()
        
        if user_input.lower() in ['exit', 'quit', 'bye']:
            print("\nGoodbye!")
            break
        
        if not user_input:
            continue
        
        conversation_history.append({"role": "user", "content": user_input})
        print("\nAgent is thinking...\n")
        
        response = await agent.ainvoke({"messages": conversation_history})
        conversation_history = response['messages']
        final_response = response['messages'][-1].content
        print(f"Agent: {final_response}\n")

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

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

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

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['data247']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "data247-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Data247 related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    rl.prompt();

    rl.on('line', async (userInput: string) => {
        const trimmedInput = userInput.trim();
        
        if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
            console.log("\nGoodbye!");
            rl.close();
            process.exit(0);
        }
        
        if (!trimmedInput) {
            rl.prompt();
            return;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\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

You've successfully built a LangChain agent that can interact with Data247 through Composio's Tool Router.
Key features of this implementation:
- Dynamic tool loading through Composio's Tool Router
- Conversation history maintenance for context-aware responses
- Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.

## 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)
- [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 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.
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- [Beaconchain](https://composio.dev/toolkits/beaconchain) - Beaconchain is a real-time analytics platform for Ethereum 2.0's Beacon Chain. It provides detailed insights into validators, blocks, and overall network performance.
- [Big data cloud](https://composio.dev/toolkits/big_data_cloud) - BigDataCloud provides APIs for geolocation, reverse geocoding, and address validation. Instantly access reliable location intelligence to enhance your applications and workflows.
- [Bigpicture io](https://composio.dev/toolkits/bigpicture_io) - BigPicture.io offers APIs for accessing detailed company and profile data. Instantly enrich your applications with up-to-date insights on 20M+ businesses.
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- [Brightdata](https://composio.dev/toolkits/brightdata) - Brightdata is a leading web data platform offering advanced scraping, SERP APIs, and anti-bot tools. It lets you collect public web data at scale, bypassing blocks and friction.
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## 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 LangChain?

Yes, you can. LangChain 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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