# How to integrate Ip2location MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Ip2location MCP with OpenAI Agents SDK",
  "toolkit": "Ip2location",
  "toolkit_slug": "ip2location",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/ip2location/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/ip2location/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:16:10.653Z"
}
```

## Introduction

This guide walks you through connecting Ip2location to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Ip2location agent that can get geolocation for these ip addresses, check if this ip is using a vpn, find domains hosted on this ip through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Ip2location account through Composio's Ip2location MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Ip2location with

- [Claude Agent SDK](https://composio.dev/toolkits/ip2location/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/ip2location/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/ip2location/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/ip2location/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/ip2location/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/ip2location/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/ip2location/framework/cli)
- [Google ADK](https://composio.dev/toolkits/ip2location/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/ip2location/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/ip2location/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/ip2location/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/ip2location/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/ip2location/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Install the necessary dependencies
- Initialize Composio and create a Tool Router session for Ip2location
- Configure an AI agent that can use Ip2location as a tool
- Run a live chat session where you can ask the agent to perform Ip2location operations

## What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.
Key features include:
- Hosted MCP Tools: Connect to external services through hosted MCP endpoints
- SQLite Sessions: Persist conversation history across interactions
- Simple API: Clean interface with Agent, Runner, and tool configuration
- Streaming Support: Real-time response streaming for interactive applications

## What is the Ip2location MCP server, and what's possible with it?

The Ip2location MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Ip2location account. It provides structured and secure access to advanced IP geolocation data, so your agent can perform actions like looking up IP locations, detecting proxies, running bulk lookups, and retrieving WHOIS information on your behalf.
- Precise IP geolocation lookup: Instantly retrieve country, city, ISP, latitude, longitude, and more for any IPv4 or IPv6 address.
- Bulk IP address processing: Run batch geolocation queries for up to 1000 IPs at once, making large-scale analysis quick and easy.
- Proxy, VPN, and TOR detection: Determine whether an IP address is using anonymizing services to help with fraud prevention or security checks.
- Domain and WHOIS data retrieval: Fetch WHOIS details for domains and list all hosted domains on a given IP to enrich investigations or audits.
- Geographic distance calculation: Calculate the physical distance between two IP addresses to support analytics, compliance, or security use cases.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `IP2LOCATION_BULK_IP_GEOLOCATION` | Bulk IP Geolocation | Retrieve geolocation information for multiple IP addresses in a single request. Supports batch processing of 1-1000 IPv4 or IPv6 addresses with flexible output formats (JSON or CSV) and customizable field selection. Returns comprehensive data including country, region, city, coordinates, timezone, ASN, and proxy detection. Note: Automatically falls back to individual lookups if bulk endpoint is unavailable. |
| `IP2LOCATION_CHECK_CREDITS` | Check IP2Location API Credits | Tool to check remaining IP2Location API credits. Use after setting up authentication to monitor usage. |
| `IP2LOCATION_DISTANCE` | IP2Location Distance Calculator | Calculate the great-circle distance between two IP addresses based on their geographic locations. This tool looks up the geolocation (latitude/longitude) for each IP address and calculates the shortest distance between them over the Earth's surface using the Haversine formula. Supports both IPv4 and IPv6 addresses. Returns the distance in kilometers along with the coordinates of both IPs. Use when you need to determine geographic separation between two IP addresses, such as for latency estimation, geographic analysis, or network optimization. |
| `IP2LOCATION_GET_HOSTED_DOMAINS` | IP2WHOIS Hosted Domains Lookup | Retrieves a list of domain names hosted on a specific IP address (IPv4 or IPv6). Use this tool when you need to: - Discover which domains are hosted on a particular IP - Investigate shared hosting environments - Analyze domain-to-IP relationships The API supports pagination for IPs with many hosted domains. |
| `IP2LOCATION_GET_IP_GEOLOCATION` | IP2Location Get IP Geolocation | Tool to retrieve geolocation data for an IP address. Use when detailed IP location info is needed. |
| `IP2LOCATION_GET_PROXY_DETECTION` | IP2Proxy: Get Proxy Detection | Tool to detect if an IP is a proxy, VPN, or TOR exit node. Use when verifying anonymizing services. |
| `IP2LOCATION_IP2_WHOIS_DOMAIN_WHOIS` | IP2WHOIS Domain WHOIS Lookup | Tool to retrieve WHOIS information for a domain. Use when you need domain registration details. |
| `IP2LOCATION_LIST_IPS` | IP2Location List IPs | Tool to list a curated set of test IPv4 and IPv6 addresses. Use when sample IPs are needed for IP2Location or IP2Proxy lookups during development or testing. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Ip2location MCP server is an implementation of the Model Context Protocol that connects your AI agent to Ip2location. It provides structured and secure access so your agent can perform Ip2location 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:
- Composio API Key and OpenAI API Key
- Primary know-how of OpenAI Agents SDK
- A live Ip2location project
- Some knowledge of Python or Typescript

### 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).
- Go to Settings and copy your API key.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

```typescript
npm install @composio/openai-agents @openai/agents dotenv
```

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

What's happening:
- You're importing all necessary libraries.
- The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Ip2location.
```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
```

### 5. Set up the Composio instance

No description provided.
```python
load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
```

```typescript
dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
```

### 6. Create a Tool Router session

What is happening:
- You give the Tool Router the user id and the toolkits you want available. Here, it is only ip2location.
- The router checks the user's Ip2location connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Ip2location.
- This approach keeps things lightweight and lets the agent request Ip2location tools only when needed during the conversation.
```python
# Create a Ip2location Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["ip2location"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Ip2location
const session = await composio.create(userId as string, {
  toolkits: ['ip2location'],
});
const mcpUrl = session.mcp.url;
```

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Ip2location. "
        "Help users perform Ip2location operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
```

```typescript
// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Ip2location. Help users perform Ip2location operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
```

### 8. Start chat loop and handle conversation

No description provided.
```python
print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["ip2location"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Ip2location. "
        "Help users perform Ip2location operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['ip2location'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Ip2location. Help users perform Ip2location operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});
```

## Conclusion

This was a starter code for integrating Ip2location MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Ip2location.
Key features:
- Hosted MCP tool integration through Composio's Tool Router
- SQLite session persistence for conversation history
- Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

## How to build Ip2location MCP Agent with another framework

- [Claude Agent SDK](https://composio.dev/toolkits/ip2location/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/ip2location/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/ip2location/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/ip2location/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/ip2location/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/ip2location/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/ip2location/framework/cli)
- [Google ADK](https://composio.dev/toolkits/ip2location/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/ip2location/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/ip2location/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/ip2location/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/ip2location/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/ip2location/framework/crew-ai)

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## Frequently Asked Questions

### What are the differences in Tool Router MCP and Ip2location MCP?

With a standalone Ip2location MCP server, the agents and LLMs can only access a fixed set of Ip2location tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Ip2location and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK 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 Ip2location tools.

### Can I manage the permissions and scopes for Ip2location while using Tool Router?

Yes, absolutely. You can configure which Ip2location 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 Ip2location data and credentials are handled as safely as possible.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)