# How to integrate Ip2whois MCP with Pydantic AI ```json { "title": "How to integrate Ip2whois MCP with Pydantic AI", "toolkit": "Ip2whois", "toolkit_slug": "ip2whois", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/ip2whois/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/ip2whois/framework/pydantic-ai.md", "updated_at": "2026-05-12T10:16:16.736Z" } ``` ## Introduction This guide walks you through connecting Ip2whois to Pydantic AI using the Composio tool router. By the end, you'll have a working Ip2whois agent that can get whois info for example.com, find domains hosted on 8.8.8.8, check domain expiration date for mysite.org through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Ip2whois account through Composio's Ip2whois MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Ip2whois with - [OpenAI Agents SDK](https://composio.dev/toolkits/ip2whois/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/ip2whois/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/ip2whois/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/ip2whois/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/ip2whois/framework/codex) - [OpenClaw](https://composio.dev/toolkits/ip2whois/framework/openclaw) - [Hermes](https://composio.dev/toolkits/ip2whois/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/ip2whois/framework/cli) - [Google ADK](https://composio.dev/toolkits/ip2whois/framework/google-adk) - [LangChain](https://composio.dev/toolkits/ip2whois/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/ip2whois/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/ip2whois/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/ip2whois/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/ip2whois/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 Ip2whois - 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 Ip2whois 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 Ip2whois MCP server, and what's possible with it? The Ip2whois MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Ip2whois account. It provides structured and secure access to domain and IP WHOIS data, so your agent can perform actions like retrieving domain registration info, checking domain ages, viewing registrant contacts, and discovering domains hosted on specific IPs. - Comprehensive domain WHOIS lookup: Instantly fetch key details about any domain, including creation and expiration dates, registrar information, and domain age. - Registrant contact information retrieval: Let your agent pull up contact info for domain owners, admins, and technical contacts as needed. - Nameserver and DNS data access: Easily get the nameservers associated with a domain for network or security audits. - Hosted domains discovery by IP: Find all domains currently hosted on a particular IP address, helping with investigation or infrastructure mapping. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `IP2WHOIS_DOMAIN_LOOKUP` | IP2WHOIS Domain Lookup | Retrieves WHOIS registration data for any domain. Returns registrar info, registration/expiration dates, domain age, nameservers, and contact details (registrant, admin, tech, billing). Use to investigate domain ownership, check availability, verify legitimacy, or research competitors. Note: Some data may be redacted due to WHOIS privacy protection. | | `IP2WHOIS_HOSTED_DOMAINS_LOOKUP` | Hosted Domains Lookup | Tool to retrieve hosted domains for a given IP address. Use this after validating the IP. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Ip2whois MCP server is an implementation of the Model Context Protocol that connects your AI agent to Ip2whois. It provides structured and secure access so your agent can perform Ip2whois 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 Ip2whois - 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 Ip2whois - MCPServerStreamableHTTP connects to the Ip2whois 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 Ip2whois 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 Ip2whois composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["ip2whois"], ) 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 Ip2whois endpoint - The agent uses GPT-5 to interpret user commands and perform Ip2whois operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent ip2whois_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[ip2whois_mcp], instructions=( "You are a Ip2whois assistant. Use Ip2whois 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 - Ip2whois 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 Ip2whois.\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 Ip2whois composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["ip2whois"], ) 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 ip2whois_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[ip2whois_mcp], instructions=( "You are a Ip2whois assistant. Use Ip2whois 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 Ip2whois.\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 Ip2whois through Composio's Tool Router. With this setup, your agent can perform real Ip2whois 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 + Ip2whois 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 Ip2whois MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/ip2whois/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/ip2whois/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/ip2whois/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/ip2whois/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/ip2whois/framework/codex) - [OpenClaw](https://composio.dev/toolkits/ip2whois/framework/openclaw) - [Hermes](https://composio.dev/toolkits/ip2whois/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/ip2whois/framework/cli) - [Google ADK](https://composio.dev/toolkits/ip2whois/framework/google-adk) - [LangChain](https://composio.dev/toolkits/ip2whois/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/ip2whois/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/ip2whois/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/ip2whois/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/ip2whois/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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It helps streamline how you gather, organize, and analyze responses. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Ip2whois MCP? With a standalone Ip2whois MCP server, the agents and LLMs can only access a fixed set of Ip2whois tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Ip2whois 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 Ip2whois tools. ### Can I manage the permissions and scopes for Ip2whois while using Tool Router? Yes, absolutely. You can configure which Ip2whois 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 Ip2whois data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)