# How to integrate Data247 MCP with Pydantic AI ```json { "title": "How to integrate Data247 MCP with Pydantic AI", "toolkit": "Data247", "toolkit_slug": "data247", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/data247/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/data247/framework/pydantic-ai.md", "updated_at": "2026-03-29T06:29:36.841Z" } ``` ## Introduction This guide walks you through connecting Data247 to Pydantic AI 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 Pydantic AI 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) - [CrewAI](https://composio.dev/toolkits/data247/framework/crew-ai) ## TL;DR Here's what you'll learn: - How to set up your Composio API key and User ID - How to create a Composio Tool Router session for Data247 - How to attach an MCP Server to a Pydantic AI agent - How to stream responses and maintain chat history - How to build a simple REPL-style chat interface to test your Data247 workflows ## What is Pydantic AI? Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications. Key features include: - Type Safety: Built on Pydantic for automatic data validation - MCP Support: Native support for Model Context Protocol servers - Streaming: Built-in support for streaming responses - Async First: Designed for async/await patterns ## 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 with an active API key - Basic familiarity with Python and async programming ### 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 Install the required libraries. What's happening: - composio connects your agent to external SaaS tools like Data247 - pydantic-ai lets you create structured AI agents with tool support - python-dotenv loads your environment variables securely from a .env file ```bash pip install composio pydantic-ai python-dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates your agent to Composio's API - USER_ID associates your session with your account for secure tool access - OPENAI_API_KEY to access OpenAI LLMs ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key ``` ### 4. Import dependencies What's happening: - We load environment variables and import required modules - Composio manages connections to Data247 - MCPServerStreamableHTTP connects to the Data247 MCP server endpoint - Agent from Pydantic AI lets you define and run the AI assistant ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from pydantic_ai import Agent from pydantic_ai.mcp import MCPServerStreamableHTTP load_dotenv() ``` ### 5. 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 ```python async def main(): api_key = os.getenv("COMPOSIO_API_KEY") user_id = os.getenv("USER_ID") if not api_key or not user_id: raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment") # Create a Composio Tool Router session for Data247 composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["data247"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") ``` ### 6. Initialize the Pydantic AI Agent What's happening: - The MCP client connects to the Data247 endpoint - The agent uses GPT-5 to interpret user commands and perform Data247 operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent data247_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[data247_mcp], instructions=( "You are a Data247 assistant. Use Data247 tools to help users " "with their requests. Ask clarifying questions when needed." ), ) ``` ### 7. Build the chat interface What's happening: - The agent reads input from the terminal and streams its response - Data247 API calls happen automatically under the hood - The model keeps conversation history to maintain context across turns ```python # Simple REPL with message history history = [] print("Chat started! Type 'exit' or 'quit' to end.\n") print("Try asking the agent to help you with Data247.\n") while True: user_input = input("You: ").strip() if user_input.lower() in {"exit", "quit", "bye"}: print("\nGoodbye!") break if not user_input: continue print("\nAgent is thinking...\n", flush=True) async with agent.run_stream(user_input, message_history=history) as stream_result: collected_text = "" async for chunk in stream_result.stream_output(): text_piece = None if isinstance(chunk, str): text_piece = chunk elif hasattr(chunk, "delta") and isinstance(chunk.delta, str): text_piece = chunk.delta elif hasattr(chunk, "text"): text_piece = chunk.text if text_piece: collected_text += text_piece result = stream_result print(f"Agent: {collected_text}\n") history = result.all_messages() ``` ### 8. Run the application What's happening: - The asyncio loop launches the agent and keeps it running until you exit ```python if __name__ == "__main__": asyncio.run(main()) ``` ## Complete Code ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from pydantic_ai import Agent from pydantic_ai.mcp import MCPServerStreamableHTTP load_dotenv() async def main(): api_key = os.getenv("COMPOSIO_API_KEY") user_id = os.getenv("USER_ID") if not api_key or not user_id: raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment") # Create a Composio Tool Router session for Data247 composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["data247"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") # Attach the MCP server to a Pydantic AI Agent data247_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[data247_mcp], instructions=( "You are a Data247 assistant. Use Data247 tools to help users " "with their requests. Ask clarifying questions when needed." ), ) # Simple REPL with message history history = [] print("Chat started! Type 'exit' or 'quit' to end.\n") print("Try asking the agent to help you with Data247.\n") while True: user_input = input("You: ").strip() if user_input.lower() in {"exit", "quit", "bye"}: print("\nGoodbye!") break if not user_input: continue print("\nAgent is thinking...\n", flush=True) async with agent.run_stream(user_input, message_history=history) as stream_result: collected_text = "" async for chunk in stream_result.stream_output(): text_piece = None if isinstance(chunk, str): text_piece = chunk elif hasattr(chunk, "delta") and isinstance(chunk.delta, str): text_piece = chunk.delta elif hasattr(chunk, "text"): text_piece = chunk.text if text_piece: collected_text += text_piece result = stream_result print(f"Agent: {collected_text}\n") history = result.all_messages() if __name__ == "__main__": asyncio.run(main()) ``` ## Conclusion You've built a Pydantic AI agent that can interact with Data247 through Composio's Tool Router. With this setup, your agent can perform real Data247 actions through natural language. You can extend this further by: - Adding other toolkits like Gmail, HubSpot, or Salesforce - Building a web-based chat interface around this agent - Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Data247 for workflow automation) This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations. ## 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) - [CrewAI](https://composio.dev/toolkits/data247/framework/crew-ai) ## Related Toolkits - [Excel](https://composio.dev/toolkits/excel) - Microsoft Excel is a robust spreadsheet application for organizing, analyzing, and visualizing data. 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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 Pydantic AI? Yes, you can. Pydantic AI 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. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)