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How to integrate Ipinfo io MCP with Pydantic AI

Connect Pydantic AI to Ipinfo io MCP. Get geolocation details for this ip address, check if this ip is using a vpn or proxy, and more using natural language, with authentication handled for you.

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Api Key

Ipinfo.io is an API service offering detailed IP address geolocation and network data. Instantly enrich user or device data with accurate location, privacy, and network insights.

27 Tools

Introduction

This guide walks you through connecting Ipinfo io to Pydantic AI using the Composio tool router. By the end, you'll have a working Ipinfo io agent that can geolocate IP addresses, identify companies and carriers, detect VPNs and proxies, run batch lookups, and find abuse contacts through natural language commands.

This guide will help you understand how to give your Pydantic AI agent real control over a Ipinfo io account through Composio's Ipinfo io MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Ipinfo io with

Claude CodeClaude CoworkOpenAI Agents SDKClaude Agent SDKCodexOpenClawHermesAtomic AgentGoogle ADKLangChainVercel AI SDKMastra AILlamaIndexCrewAIAutoGen

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 Ipinfo io
  • 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 Ipinfo io 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 Ipinfo io MCP server, and what's possible with it?

The Ipinfo io MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Ipinfo io account. It provides structured and secure access to IP address intelligence, so your agent can perform actions like geolocating IPs, retrieving company and carrier details, detecting privacy risks, and fetching abuse contacts automatically.

  • Bulk IP address lookups: Perform high-volume geolocation or information retrieval for up to 1,000 IPs or URLs in a single request for audits, analytics, or security reviews.
  • Comprehensive IP geolocation and details: Instantly fetch precise geolocation, ASN, and network data for any IP address—including your own—helping with network diagnostics and user profiling.
  • Company and carrier information retrieval: Ask your agent to identify the organization or mobile carrier behind an IP address for enhanced business intelligence or fraud analysis.
  • Abuse contact identification: Quickly retrieve the correct abuse reporting contact for any IP, streamlining incident response or reporting suspicious activity.
  • Privacy and anonymization detection: Let your agent check if an IP is using VPNs, proxies, Tor, or hosting services to identify anonymized or risky traffic for extra security and compliance.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
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
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard 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.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Ipinfo io
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

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
5

Import dependencies

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()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Ipinfo io
  • MCPServerStreamableHTTP connects to the Ipinfo io MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant
6

Create a Tool Router Session

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 Ipinfo io
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["ipinfo_io"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
What's happening:
  • We're creating a Tool Router session that gives your agent access to Ipinfo io 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
7

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
ipinfo_io_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[ipinfo_io_mcp],
    instructions=(
        "You are a Ipinfo io assistant. Use Ipinfo io tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Ipinfo io endpoint
  • The agent uses GPT-5 to interpret user commands and perform Ipinfo io operations
  • The instructions field defines the agent's role and behavior
8

Build the chat interface

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 Ipinfo io.\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()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Ipinfo io API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns
9

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

Here's the complete code to get you started with Ipinfo io and Pydantic AI:

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 Ipinfo io
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["ipinfo_io"],
    )
    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
    ipinfo_io_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[ipinfo_io_mcp],
        instructions=(
            "You are a Ipinfo io assistant. Use Ipinfo io 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 Ipinfo io.\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 Ipinfo io through Composio's Tool Router. With this setup, your agent can perform real Ipinfo io 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 + Ipinfo io for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.
TOOLS

Supported Tools

Every Ipinfo io action and event your agent gets out of the box.

Batch Lite Lookup

Perform bulk Lite IP lookups for up to 1000 IPs in a single request.

Batch IP Lookup

Perform batch IP lookups to retrieve geolocation and ASN information for multiple IPs in a single request.

Get Abuse Contact

Retrieve abuse contact or basic organization information for an IP address.

Get IP Carrier Info

Retrieve mobile carrier information for an IP address, including carrier name, MCC and MNC when available.

Get City by IP

Retrieve the city name for a specific IP address.

Get Company Info for an IP

Retrieve company information for an IPv4 or IPv6 address, including name, domain and type.

Get Core Field by Me

Retrieve a supported field about the current IP, such as city, country, hostname, or the combined AS organization field, instead of the complete IP profile.

Get Country by IP

Retrieve the two-letter ISO 3166 country code for an IP address.

Get Current IP

Retrieve the current public/external IP address.

Get Current IP Information

Retrieve information about the caller's current IP address without specifying an IP.

Get Current Location

Retrieve geographic coordinates for the current IP address.

Get Current Region

Retrieve the region/state for the caller's current IP address.

Get Geo by IP

Get geolocation and basic IP details for an IPv4 or IPv6 address.

Get Hostname by IP

Retrieve the hostname (reverse DNS) for an IP address.

Get IP by IP

Retrieve the IP address for a specified IP as plain text.

Get IP Information

Retrieve geolocation and ASN information for an IP address.

Get Comprehensive IP Information

Retrieve available IP information for a specified IPv4 or IPv6 address.

Get Lite Field By IP

Retrieve a specific field from lightweight IP information.

Get Location by IP

Retrieve geographic coordinates (latitude, longitude) for an IP address.

Get Organization by IP

Retrieve ASN and organization name for an IP address as plain text.

Get Plus Field for Current IP

Retrieve a selected IPinfo Plus field for the calling IP address, such as geographic, autonomous system, mobile carrier, or privacy information.

Get Postal Code by IP

Retrieve the postal/zip code for an IP address.

Get IP Privacy Details

Retrieve VPN, proxy, Tor, relay and hosting privacy flags for an IP address.

Get Region by IP

Retrieve the region/state for a specified IP address.

Get Timezone by IP

Retrieve the IANA timezone for a given IP address.

Get Token Information

Retrieve API service request limit information by access token.

Map IP Addresses

Create an IPinfo map visualization from a list of IP addresses.

FRAMEWORKS

How to build Ipinfo io MCP Agent with another framework

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Claude Code

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Claude Cowork

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OpenAI Agents SDK logo

OpenAI Agents SDK

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Claude Agent SDK logo

Claude Agent SDK

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Codex logo

Codex

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OpenClaw logo

OpenClaw

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Hermes logo

Hermes

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Atomic Agent logo

Atomic Agent

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Google ADK logo

Google ADK

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LangChain logo

LangChain

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Vercel AI SDK logo

Vercel AI SDK

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Mastra AI logo

Mastra AI

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LlamaIndex logo

LlamaIndex

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CrewAI logo

CrewAI

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AutoGen logo

AutoGen

Use Ipinfo io MCP with AutoGen

FAQ

Frequently asked questions

With a standalone Ipinfo io MCP server, the agents and LLMs can only access a fixed set of Ipinfo io tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Ipinfo io and many other apps based on the task at hand, all through a single MCP endpoint.

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 Ipinfo io tools.

Yes, absolutely. You can configure which Ipinfo io 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.

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 Ipinfo io data and credentials are handled as safely as possible.

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