# How to integrate Addressfinder MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Addressfinder MCP with OpenAI Agents SDK",
  "toolkit": "Addressfinder",
  "toolkit_slug": "addressfinder",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/addressfinder/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/addressfinder/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-03-29T06:21:55.064Z"
}
```

## Introduction

This guide walks you through connecting Addressfinder to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Addressfinder agent that can verify if 221b baker st is a real address, enrich contact with validated phone number, check if john@example.com is deliverable through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Addressfinder account through Composio's Addressfinder MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Addressfinder with

- [Claude Agent SDK](https://composio.dev/toolkits/addressfinder/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/addressfinder/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/addressfinder/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/addressfinder/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/addressfinder/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/addressfinder/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/addressfinder/framework/cli)
- [Google ADK](https://composio.dev/toolkits/addressfinder/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/addressfinder/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/addressfinder/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/addressfinder/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/addressfinder/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/addressfinder/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 Addressfinder
- Configure an AI agent that can use Addressfinder as a tool
- Run a live chat session where you can ask the agent to perform Addressfinder 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 Addressfinder MCP server, and what's possible with it?

The Addressfinder MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Addressfinder account. It provides structured and secure access so your agent can perform Addressfinder operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `ADDRESSFINDER_AU_ADDRESS_AUTOCOMPLETE_API` | AU Address Autocomplete | Tool to perform interactive search of Australian addresses from the AddressFinder database. Use when you need to search for and autocomplete Australian addresses based on partial input. |
| `ADDRESSFINDER_AU_ADDRESS_METADATA` | Get AU Address Metadata | Tool to retrieve full metadata for an Australian address selected from the Address Autocomplete API. Use when you need complete address details including GPS coordinates and census data. |
| `ADDRESSFINDER_AU_ADDRESS_VERIFICATION` | AU Address Verification | Tool to verify Australian addresses against PAF/GNAF databases. Use when you need to validate or standardize an Australian address and retrieve associated metadata like coordinates, statistical identifiers, and GNAF data. |
| `ADDRESSFINDER_AU_LOCATION_AUTOCOMPLETE_API` | AU Location Autocomplete | Tool to perform interactive autocomplete search for Australian streets, suburbs, and states. Use when you need to find or suggest Australian locations based on partial input. |
| `ADDRESSFINDER_GET_AU_LOCATION_METADATA` | Get AU Location Metadata | Tool to retrieve comprehensive metadata for an Australian location (street, suburb, or state) selected from the Location Autocomplete API. Use when you need detailed information about a specific Australian location including coordinates, street details, suburb, state, and postcode. |
| `ADDRESSFINDER_EMAIL_VERIFICATION_API` | Email Verification API | Tool to verify email addresses including syntax validation, domain existence, and email account verification. Use when you need to validate an email address before sending messages or storing contact information. |
| `ADDRESSFINDER_INTERNATIONAL_ADDRESS_AUTOCOMPLETE` | International Address Autocomplete | Tool to search for international addresses using autocomplete functionality. Use when users need to find and select addresses in supported countries (AU, BE, CA, CZ, DK, FR, DE, IE, NZ, NL, PT, SG, ES, SE, GB, US). Returns address IDs that can be used with the Address Metadata API to retrieve full address details. |
| `ADDRESSFINDER_GET_INTERNATIONAL_ADDRESS_METADATA` | Get International Address Metadata | Tool to retrieve full metadata for an international address selected from the Address Autocomplete API. Use when you need complete address details including street metadata and optional GPS coordinates for addresses outside your primary region. |
| `ADDRESSFINDER_NZ_ADDRESS_AUTOCOMPLETE` | NZ Address Autocomplete | Tool to perform interactive search for New Zealand addresses. Use when you need to find closely matching NZ addresses based on partial address input. The tool searches the Addressfinder database and returns matching addresses which can then be selected by the user. Works with the Address Metadata API to retrieve associated address data using the pxid identifier. |
| `ADDRESSFINDER_GET_NZ_ADDRESS_METADATA` | Get NZ Address Metadata | Tool to retrieve full metadata for a NZ address including coordinates, census data, and postal details. Use after selecting an address from the Address Autocomplete API to get complete address information. |
| `ADDRESSFINDER_NZ_ADDRESS_REVERSE_GEOCODE` | NZ Address Reverse Geocode | Tool to reverse geocode NZ addresses from GPS coordinates. Use when you need to find the nearest addresses to a given longitude and latitude. Returns addresses ordered by distance. |
| `ADDRESSFINDER_NZ_ADDRESS_VERIFICATION` | NZ Address Verification | Tool to verify New Zealand addresses against the Addressfinder database. Use when you need to validate and enrich NZ addresses, correct spelling mistakes, or retrieve detailed address metadata including coordinates and postal information. |
| `ADDRESSFINDER_NZ_LOCATION_AUTOCOMPLETE` | NZ Location Autocomplete | Tool to perform interactive search for New Zealand streets, suburbs, cities, and regions. Use when you need to find or autocomplete location names in New Zealand. Returns closely matching locations with unique identifiers for further metadata lookups. |
| `ADDRESSFINDER_GET_NZ_LOCATION_METADATA` | Get NZ Location Metadata | Tool to retrieve full metadata for a New Zealand location selected from the Location Autocomplete API. Use when you need detailed information including coordinates and LINZ address data for a specific location. |
| `ADDRESSFINDER_NZ_POI_AUTOCOMPLETE` | NZ POI Autocomplete | Tool to perform interactive search for points of interest in New Zealand. Use when you need to find POIs like hospitals, cafes, or schools based on partial name matching. |
| `ADDRESSFINDER_GET_NZ_POI_METADATA` | Get NZ POI Metadata | Tool to retrieve comprehensive metadata for New Zealand points of interest including coordinates and address details. Use when you need full POI information after selecting from autocomplete API. |
| `ADDRESSFINDER_PHONE_VERIFICATION_API` | Phone Verification API | Tool to verify phone numbers through syntax, range checks, and network verification. Use when you need to validate a phone number's format, line type, and connection status. Returns verified number details including line type, connection status, and formatted representations. |

## Supported Triggers

None listed.

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

The Addressfinder MCP server is an implementation of the Model Context Protocol that connects your AI agent to Addressfinder. It provides structured and secure access so your agent can perform Addressfinder 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 Addressfinder 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 Addressfinder.
```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 addressfinder.
- The router checks the user's Addressfinder connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Addressfinder.
- This approach keeps things lightweight and lets the agent request Addressfinder tools only when needed during the conversation.
```python
# Create a Addressfinder Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["addressfinder"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Addressfinder
const session = await composio.create(userId as string, {
  toolkits: ['addressfinder'],
});
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 Addressfinder. "
        "Help users perform Addressfinder 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 Addressfinder. Help users perform Addressfinder 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=["addressfinder"]
)
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 Addressfinder. "
        "Help users perform Addressfinder 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: ['addressfinder'],
  });
  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 Addressfinder. Help users perform Addressfinder 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 Addressfinder MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Addressfinder.
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 Addressfinder MCP Agent with another framework

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

## Related Toolkits

- [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.
- [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.
- [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.
- [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.
- [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.
- [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.
- [Linear](https://composio.dev/toolkits/linear) - Linear is a modern issue tracking and project planning tool for fast-moving teams. It helps streamline workflows, organize projects, and boost productivity.
- [Salesforce](https://composio.dev/toolkits/salesforce) - Salesforce is a leading CRM platform that helps businesses manage sales, service, and marketing. It centralizes customer data, enabling teams to drive growth and build strong relationships.
- [Jira](https://composio.dev/toolkits/jira) - Jira is Atlassian’s platform for bug tracking, issue tracking, and agile project management. It helps teams organize work, prioritize tasks, and deliver projects efficiently.
- [Clickup](https://composio.dev/toolkits/clickup) - ClickUp is an all-in-one productivity platform for managing tasks, docs, goals, and team collaboration. It streamlines project workflows so teams can work smarter and stay organized in one place.
- [Excel](https://composio.dev/toolkits/excel) - Microsoft Excel is a robust spreadsheet application for organizing, analyzing, and visualizing data. It's the go-to tool for calculations, reporting, and flexible data management.
- [Monday](https://composio.dev/toolkits/monday) - Monday.com is a customizable work management platform for project planning and collaboration. It helps teams organize tasks, automate workflows, and track progress in real time.
- [Apollo](https://composio.dev/toolkits/apollo) - Apollo is a CRM and lead generation platform that helps businesses discover contacts and manage sales pipelines. Use it to streamline customer outreach and track your deals from one place.
- [Attio](https://composio.dev/toolkits/attio) - Attio is a customizable CRM and workspace for managing your team's relationships and workflows. It helps teams organize contacts, automate tasks, and collaborate more efficiently.
- [21risk](https://composio.dev/toolkits/_21risk) - 21RISK is a web app built for easy checklist, audit, and compliance management. It streamlines risk processes so teams can focus on what matters.
- [Abstract](https://composio.dev/toolkits/abstract) - Abstract provides a suite of APIs for automating data validation and enrichment tasks. It helps developers streamline workflows and ensure data quality with minimal effort.
- [Acculynx](https://composio.dev/toolkits/acculynx) - AccuLynx is a cloud-based roofing business management software for contractors. It streamlines project tracking, lead management, and document sharing.
- [Affinity](https://composio.dev/toolkits/affinity) - Affinity is a relationship intelligence CRM that helps private capital investors find, manage, and close more deals. It streamlines deal flow and surfaces key connections to help you win opportunities.
- [Agencyzoom](https://composio.dev/toolkits/agencyzoom) - AgencyZoom is a sales and performance platform built for P&C insurance agencies. It helps agents boost sales, retain clients, and analyze producer results in one place.

## Frequently Asked Questions

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

With a standalone Addressfinder MCP server, the agents and LLMs can only access a fixed set of Addressfinder tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Addressfinder 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 Addressfinder tools.

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

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

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