How to integrate Ipinfo io MCP with CrewAI

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Introduction

This guide walks you through connecting Ipinfo io to CrewAI using the Composio tool router. By the end, you'll have a working Ipinfo io agent that can get geolocation details for this ip address, check if this ip is using a vpn or proxy, find the company behind this ip address, retrieve abuse contact info for suspicious ip through natural language commands.

This guide will help you understand how to give your CrewAI 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.

TL;DR

Here's what you'll learn:
  • Get a Composio API key and configure your Ipinfo io connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for Ipinfo io
  • Build a conversational loop where your agent can execute Ipinfo io operations

What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.

Key features include:

  • Agent Roles: Define specialized agents with specific goals and backstories
  • Task Management: Create tasks with clear descriptions and expected outputs
  • Crew Orchestration: Combine agents and tasks into collaborative workflows
  • MCP Integration: Connect to external tools through Model Context Protocol

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.

Supported Tools & Triggers

Tools
Batch Lite LookupTool to perform bulk Lite IP lookups.
Batch IP LookupTool to perform batch IP lookups.
Get Abuse ContactTool to retrieve abuse contact information for a specific IP address.
Get IP Carrier InfoTool to get carrier information for a given IP address.
Get Company Info for an IPTool to retrieve company info for a specific IP.
Get IP InformationTool to retrieve detailed information about an IP address.
Get IP Privacy DetailsTool to retrieve privacy-related flags (VPN, proxy, Tor, relay, hosting) for an IP address.

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

What is Tool Router?

Composio's Tool Router 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 Tool Router

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

How the Tool Router works

The Tool Router 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

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A Ipinfo io connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python

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.

Install dependencies

bash
pip install composio crewai crewai-tools python-dotenv
What's happening:
  • composio connects your agent to Ipinfo io via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools includes MCP helpers
  • python-dotenv loads environment variables from .env

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_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates with Composio
  • USER_ID scopes the session to your account
  • OPENAI_API_KEY lets CrewAI use your chosen OpenAI model

Import dependencies

python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter  # optional import if you plan to adapt tools
from composio import Composio
from dotenv import load_dotenv
import os
from crewai.mcp import MCPServerHTTP

load_dotenv()
What's happening:
  • CrewAI classes define agents and tasks, and run the workflow
  • MCPServerHTTP connects the agent to an MCP endpoint
  • Composio will give you a short lived Ipinfo io MCP URL

Create a Composio Tool Router session for Ipinfo io

python
composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
session = composio.create(
    user_id=os.getenv("USER_ID"),
    toolkits=["ipinfo_io"],
)
url = session.mcp.url
What's happening:
  • You create a Ipinfo io only session through Composio
  • Composio returns an MCP HTTP URL that exposes Ipinfo io tools

Configure the LLM

python
llm = LLM(
    model="gpt-5-mini",
    api_key=os.getenv("OPENAI_API_KEY"),
)
What's happening:
  • CrewAI will call this LLM for planning and responses
  • You can swap in a different model if needed

Attach the MCP server and create the agent

python
toolkit_agent = Agent(
    role="Ipinfo io Assistant",
    goal="Help users interact with Ipinfo io through natural language commands",
    backstory=(
        "You are an expert assistant with access to Ipinfo io tools. "
        "You can perform various Ipinfo io operations on behalf of the user."
    ),
    mcps=[
        MCPServerHTTP(
            url=url,
            streamable=True,
            cache_tools_list=True,
            headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")},
        ),
    ],
    llm=llm,
    verbose=True,
    max_iter=10,
)
What's happening:
  • MCPServerHTTP connects the agent to the Ipinfo io MCP endpoint
  • cache_tools_list saves a tools catalog for faster subsequent runs
  • verbose helps you see what the agent is doing

Add a REPL loop with Task and Crew

python
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to perform Ipinfo io operations.\n")

conversation_context = ""

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

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

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Based on the conversation history:\n{conversation_context}\n\n"
            f"Current user request: {user_input}\n\n"
            f"Please help the user with their Ipinfo io related request."
        ),
        expected_output="A helpful response addressing the user's request",
        agent=toolkit_agent,
    )

    crew = Crew(
        agents=[toolkit_agent],
        tasks=[task],
        verbose=False,
    )

    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
What's happening:
  • You build a simple chat loop and keep a running context
  • Each user turn becomes a Task handled by the same agent
  • Crew executes the task and returns a response

Run the application

python
if __name__ == "__main__":
    main()
What's happening:
  • Standard Python entry point so you can run python crewai_ipinfo_io_agent.py

Complete Code

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

python
# file: crewai_ipinfo_io_agent.py
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter  # optional
from composio import Composio
from dotenv import load_dotenv
import os
from crewai.mcp import MCPServerHTTP

load_dotenv()

def main():
    # Initialize Composio and create a Ipinfo io session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["ipinfo_io"],
    )
    url = session.mcp.url

    # Configure LLM
    llm = LLM(
        model="gpt-5-mini",
        api_key=os.getenv("OPENAI_API_KEY"),
    )

    # Create Ipinfo io assistant agent
    toolkit_agent = Agent(
        role="Ipinfo io Assistant",
        goal="Help users interact with Ipinfo io through natural language commands",
        backstory=(
            "You are an expert assistant with access to Ipinfo io tools. "
            "You can perform various Ipinfo io operations on behalf of the user."
        ),
        mcps=[
            MCPServerHTTP(
                url=url,
                streamable=True,
                cache_tools_list=True,
                headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")},
            ),
        ],
        llm=llm,
        verbose=True,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
    print("Try asking the agent to perform Ipinfo io operations.\n")

    conversation_context = ""

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

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

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Based on the conversation history:\n{conversation_context}\n\n"
                f"Current user request: {user_input}\n\n"
                f"Please help the user with their Ipinfo io related request."
            ),
            expected_output="A helpful response addressing the user's request",
            agent=toolkit_agent,
        )

        crew = Crew(
            agents=[toolkit_agent],
            tasks=[task],
            verbose=False,
        )

        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")

if __name__ == "__main__":
    main()

Conclusion

You now have a CrewAI agent connected to Ipinfo io through Composio's Tool Router. The agent can perform Ipinfo io operations through natural language commands. Next steps:
  • Add role-specific instructions to customize agent behavior
  • Plug in more toolkits for multi-app workflows
  • Chain tasks for complex multi-step operations

How to build Ipinfo io MCP Agent with another framework

OpenAI Agents SDK

OpenAI Agents SDK

Use Ipinfo io MCP with OpenAI Agents SDK

Claude Agent SDK

Claude Agent SDK

Use Ipinfo io MCP with Claude Agent SDK

Google ADK

Google ADK

Use Ipinfo io MCP with Google ADK

LangChain

LangChain

Use Ipinfo io MCP with LangChain

Vercel AI SDK

Vercel AI SDK

Use Ipinfo io MCP with Vercel AI SDK

Mastra AI

Mastra AI

Use Ipinfo io MCP with Mastra AI

LlamaIndex

LlamaIndex

Use Ipinfo io MCP with LlamaIndex

FAQ

What are the differences in Tool Router MCP and Ipinfo io MCP?

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.

Can I use Tool Router MCP with CrewAI?

Yes, you can. CrewAI 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.

Can I manage the permissions and scopes for Ipinfo io while using Tool Router?

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.

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

Used by agents from

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HubSpot
Agent.ai
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Context
ASU
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai

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