# How to integrate Ip2proxy MCP with Pydantic AI ```json { "title": "How to integrate Ip2proxy MCP with Pydantic AI", "toolkit": "Ip2proxy", "toolkit_slug": "ip2proxy", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/ip2proxy/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/ip2proxy/framework/pydantic-ai.md", "updated_at": "2026-05-12T10:16:14.709Z" } ``` ## Introduction This guide walks you through connecting Ip2proxy to Pydantic AI using the Composio tool router. By the end, you'll have a working Ip2proxy agent that can check if this ip is a vpn, detect tor usage for given ip, identify proxy servers in user logins through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Ip2proxy account through Composio's Ip2proxy MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Ip2proxy with - [OpenAI Agents SDK](https://composio.dev/toolkits/ip2proxy/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/ip2proxy/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/ip2proxy/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/ip2proxy/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/ip2proxy/framework/codex) - [OpenClaw](https://composio.dev/toolkits/ip2proxy/framework/openclaw) - [Hermes](https://composio.dev/toolkits/ip2proxy/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/ip2proxy/framework/cli) - [Google ADK](https://composio.dev/toolkits/ip2proxy/framework/google-adk) - [LangChain](https://composio.dev/toolkits/ip2proxy/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/ip2proxy/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/ip2proxy/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/ip2proxy/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/ip2proxy/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 Ip2proxy - 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 Ip2proxy 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 Ip2proxy MCP server, and what's possible with it? The Ip2proxy MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Ip2proxy account. It provides structured and secure access to IP proxy detection services, so your agent can identify proxy usage, detect VPNs, spot TOR nodes, and flag suspicious IPs on your behalf. - Instant proxy status checks: Your agent can determine if any given IP address is associated with an anonymous proxy, VPN, or TOR exit node. - Automated threat intelligence: Effortlessly screen and flag risky IPs to prevent fraudulent access, spam, or abuse. - Real-time user verification: Let your agent verify incoming IP addresses on sign-up or login to detect suspicious users in real time. - Enhanced bot and crawler detection: Identify search engine robots and residential proxies to tailor user experiences or block unwanted traffic. - Security workflow automation: Integrate proxy checks into your security flows for smarter, faster decision-making about user and traffic legitimacy. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `IP2PROXY_CHECK_PROXY` | Check Proxy Status of an IP | Tool to check if an IP address is a proxy. Use after obtaining an IP to detect proxy, VPN, or Tor status. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Ip2proxy MCP server is an implementation of the Model Context Protocol that connects your AI agent to Ip2proxy. It provides structured and secure access so your agent can perform Ip2proxy 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 Ip2proxy - 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 Ip2proxy - MCPServerStreamableHTTP connects to the Ip2proxy 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 Ip2proxy 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 Ip2proxy composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["ip2proxy"], ) 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 Ip2proxy endpoint - The agent uses GPT-5 to interpret user commands and perform Ip2proxy operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent ip2proxy_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[ip2proxy_mcp], instructions=( "You are a Ip2proxy assistant. Use Ip2proxy 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 - Ip2proxy 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 Ip2proxy.\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 Ip2proxy composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["ip2proxy"], ) 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 ip2proxy_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[ip2proxy_mcp], instructions=( "You are a Ip2proxy assistant. Use Ip2proxy 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 Ip2proxy.\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 Ip2proxy through Composio's Tool Router. With this setup, your agent can perform real Ip2proxy 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 + Ip2proxy 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 Ip2proxy MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/ip2proxy/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/ip2proxy/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/ip2proxy/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/ip2proxy/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/ip2proxy/framework/codex) - [OpenClaw](https://composio.dev/toolkits/ip2proxy/framework/openclaw) - [Hermes](https://composio.dev/toolkits/ip2proxy/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/ip2proxy/framework/cli) - [Google ADK](https://composio.dev/toolkits/ip2proxy/framework/google-adk) - [LangChain](https://composio.dev/toolkits/ip2proxy/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/ip2proxy/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/ip2proxy/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/ip2proxy/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/ip2proxy/framework/crew-ai) ## Related Toolkits - [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable. - [Google Calendar](https://composio.dev/toolkits/googlecalendar) - Google Calendar is a time management service for scheduling meetings, events, and reminders. It streamlines personal and team organization with integrated notifications and sharing options. - [Google Drive](https://composio.dev/toolkits/googledrive) - Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices. - [Outlook](https://composio.dev/toolkits/outlook) - Outlook is Microsoft's email and calendaring platform for unified communications and scheduling. It helps users stay organized with powerful email, contacts, and calendar management. - [Twitter](https://composio.dev/toolkits/twitter) - Twitter is a social media platform for sharing real-time updates, conversations, and news. Stay connected, informed, and engaged with communities worldwide. - [Google Sheets](https://composio.dev/toolkits/googlesheets) - Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly. - [Supabase](https://composio.dev/toolkits/supabase) - Supabase is an open-source backend platform offering scalable Postgres databases, authentication, storage, and real-time APIs. It lets developers build modern apps without managing infrastructure. - [Composio](https://composio.dev/toolkits/composio) - Composio is an integration platform that connects AI agents with hundreds of business tools. It streamlines authentication and lets you trigger actions across services—no custom code needed. - [Notion](https://composio.dev/toolkits/notion) - Notion is a collaborative workspace for notes, docs, wikis, and tasks. It streamlines team knowledge, project tracking, and workflow customization in one place. - [Slack](https://composio.dev/toolkits/slack) - Slack is a channel-based messaging platform for teams and organizations. It helps people collaborate in real time, share files, and connect all their tools in one place. - [Airtable](https://composio.dev/toolkits/airtable) - Airtable combines the flexibility of spreadsheets with the power of a database for easy project and data management. Teams use Airtable to organize, track, and collaborate with custom views and automations. - [Google Docs](https://composio.dev/toolkits/googledocs) - Google Docs is a cloud-based word processor that enables document creation and real-time collaboration. Its seamless sharing and version history make team editing and content management a breeze. - [Google Super](https://composio.dev/toolkits/googlesuper) - Google Super is an all-in-one suite combining Gmail, Drive, Calendar, Sheets, Analytics, and more. It gives you a unified platform to manage your digital life, boosting productivity and organization. - [Hubspot](https://composio.dev/toolkits/hubspot) - HubSpot is an all-in-one marketing, sales, and customer service platform. It lets teams nurture leads, automate outreach, and track every customer interaction in one place. - [Codeinterpreter](https://composio.dev/toolkits/codeinterpreter) - Codeinterpreter is a Python-based coding environment with built-in data analysis and visualization. It lets you instantly run scripts, plot results, and prototype solutions inside supported platforms. - [Gong](https://composio.dev/toolkits/gong) - Gong is a platform for video meetings, call recording, and team collaboration. It helps teams capture conversations, analyze calls, and turn insights into action. - [Asana](https://composio.dev/toolkits/asana) - Asana is a collaborative work management platform for teams to organize and track projects. It streamlines teamwork, boosts productivity, and keeps everyone aligned on goals. - [Ashby](https://composio.dev/toolkits/ashby) - Ashby is an applicant tracking system that handles job postings, candidate management, and hiring analytics. - [Pipedrive](https://composio.dev/toolkits/pipedrive) - Pipedrive is a sales management platform offering pipeline visualization, lead tracking, and workflow automation. It helps sales teams keep deals moving forward efficiently and never miss a follow-up. - [Google Tasks](https://composio.dev/toolkits/googletasks) - Google Tasks is a to-do list and task management tool integrated into Gmail and Google Calendar. It helps you organize, track, and complete tasks across your Google ecosystem. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Ip2proxy MCP? With a standalone Ip2proxy MCP server, the agents and LLMs can only access a fixed set of Ip2proxy tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Ip2proxy 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 Ip2proxy tools. ### Can I manage the permissions and scopes for Ip2proxy while using Tool Router? Yes, absolutely. You can configure which Ip2proxy 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 Ip2proxy data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)