# How to integrate Addressfinder MCP with LangChain

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

## Introduction

This guide walks you through connecting Addressfinder to LangChain 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 LangChain 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

- [OpenAI Agents SDK](https://composio.dev/toolkits/addressfinder/framework/open-ai-agents-sdk)
- [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)
- [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
- Connect your Addressfinder project to Composio
- Create a Tool Router MCP session for Addressfinder
- Initialize an MCP client and retrieve Addressfinder tools
- Build a LangChain agent that can interact with Addressfinder
- Set up an interactive chat interface for testing

## What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.
Key features include:
- Agent Framework: Build agents that can use tools and make decisions
- MCP Integration: Connect to external services through Model Context Protocol adapters
- Memory Management: Maintain conversation history across interactions
- Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

## 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

No description provided.

### 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

No description provided.
```python
pip install composio-langchain langchain-mcp-adapters langchain python-dotenv
```

```typescript
npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv
```

### 3. Set up environment variables

Create a .env file in your project root.
What's happening:
- COMPOSIO_API_KEY authenticates your requests to Composio's API
- COMPOSIO_USER_ID identifies the user for session management
- OPENAI_API_KEY enables access to OpenAI's language models
```bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_user_id_here
OPENAI_API_KEY=your_openai_api_key_here
```

### 4. Import dependencies

No description provided.
```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()
```

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
```

### 5. Initialize Composio client

What's happening:
- We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
- Creating a Composio instance that will manage our connection to Addressfinder tools
- Validating that COMPOSIO_USER_ID is also set before proceeding
```python
async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))

    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
```

```typescript
const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
```

### 6. Create a Tool Router session

What's happening:
- We're creating a Tool Router session that gives your agent access to Addressfinder 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
- This approach allows the agent to dynamically load and use Addressfinder tools as needed
```python
# Create Tool Router session for Addressfinder
session = composio.create(
    user_id=os.getenv("COMPOSIO_USER_ID"),
    toolkits=['addressfinder']
)

url = session.mcp.url
```

```typescript
const session = await composio.create(
    userId as string,
    {
        toolkits: ['addressfinder']
    }
);

const url = session.mcp.url;
```

### 7. Configure the agent with the MCP URL

No description provided.
```python
client = MultiServerMCPClient({
    "addressfinder-agent": {
        "transport": "streamable_http",
        "url": session.mcp.url,
        "headers": {
            "x-api-key": os.getenv("COMPOSIO_API_KEY")
        }
    }
})

tools = await client.get_tools()

agent = create_agent("gpt-5", tools)
```

```typescript
const client = new MultiServerMCPClient({
    "addressfinder-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
```

### 8. Set up interactive chat interface

No description provided.
```python
conversation_history = []

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Addressfinder related question or task to the agent.\n")

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

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

    if not user_input:
        continue

    conversation_history.append({"role": "user", "content": user_input})
    print("\nAgent is thinking...\n")

    response = await agent.ainvoke({"messages": conversation_history})
    conversation_history = response['messages']
    final_response = response['messages'][-1].content
    print(f"Agent: {final_response}\n")
```

```typescript
let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any Addressfinder related question or task to the agent.\n");

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

rl.prompt();

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

    if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
        console.log("\nGoodbye!");
        rl.close();
        process.exit(0);
    }

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

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

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

### 9. Run the application

No description provided.
```python
if __name__ == "__main__":
    asyncio.run(main())
```

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

## Complete Code

```python
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain.agents import create_agent
from dotenv import load_dotenv
from composio import Composio
import asyncio
import os

load_dotenv()

async def main():
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    
    if not os.getenv("COMPOSIO_API_KEY"):
        raise ValueError("COMPOSIO_API_KEY is not set")
    if not os.getenv("COMPOSIO_USER_ID"):
        raise ValueError("COMPOSIO_USER_ID is not set")
    
    session = composio.create(
        user_id=os.getenv("COMPOSIO_USER_ID"),
        toolkits=['addressfinder']
    )

    url = session.mcp.url
    
    client = MultiServerMCPClient({
        "addressfinder-agent": {
            "transport": "streamable_http",
            "url": url,
            "headers": {
                "x-api-key": os.getenv("COMPOSIO_API_KEY")
            }
        }
    })
    
    tools = await client.get_tools()
  
    agent = create_agent("gpt-5", tools)
    
    conversation_history = []
    
    print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
    print("Ask any Addressfinder related question or task to the agent.\n")
    
    while True:
        user_input = input("You: ").strip()
        
        if user_input.lower() in ['exit', 'quit', 'bye']:
            print("\nGoodbye!")
            break
        
        if not user_input:
            continue
        
        conversation_history.append({"role": "user", "content": user_input})
        print("\nAgent is thinking...\n")
        
        response = await agent.ainvoke({"messages": conversation_history})
        conversation_history = response['messages']
        final_response = response['messages'][-1].content
        print(f"Agent: {final_response}\n")

if __name__ == "__main__":
    asyncio.run(main())
```

```typescript
import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

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

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['addressfinder']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "addressfinder-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Addressfinder related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    rl.prompt();

    rl.on('line', async (userInput: string) => {
        const trimmedInput = userInput.trim();
        
        if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
            console.log("\nGoodbye!");
            rl.close();
            process.exit(0);
        }
        
        if (!trimmedInput) {
            rl.prompt();
            return;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\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

You've successfully built a LangChain agent that can interact with Addressfinder through Composio's Tool Router.
Key features of this implementation:
- Dynamic tool loading through Composio's Tool Router
- Conversation history maintenance for context-aware responses
- Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.

## How to build Addressfinder MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/addressfinder/framework/open-ai-agents-sdk)
- [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)
- [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 LangChain?

Yes, you can. LangChain 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)