# How to integrate Zerobounce MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Zerobounce MCP with OpenAI Agents SDK",
  "toolkit": "Zerobounce",
  "toolkit_slug": "zerobounce",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/zerobounce/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/zerobounce/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-06T08:34:42.363Z"
}
```

## Introduction

This guide walks you through connecting Zerobounce to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Zerobounce agent that can validate a list of 100 new signups, score this email for lead quality, check deliverability of mark@gmail.com through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Zerobounce account through Composio's Zerobounce MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Zerobounce with

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

The Zerobounce MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Zerobounce account. It provides structured and secure access to your email validation and deliverability tools, so your agent can perform actions like validating emails, scoring leads, managing bulk jobs, and analyzing engagement—all automatically.
- Real-time email validation: Instantly check if email addresses are valid, risky, or undeliverable before sending campaigns or updating your lists.
- Bulk validation and processing: Upload files and process hundreds of emails or domains at once, with tools for tracking job status and retrieving results.
- AI-powered lead scoring: Score individual email addresses using Zerobounce AI to assess lead quality and prioritize outreach.
- Domain and pattern analysis: Identify common email address formats for any domain or run bulk domain searches to optimize your contact strategies.
- Allowlist and blocklist management: Easily update your allow and block lists to fine-tune which addresses pass or fail validation, keeping your lists clean and secure.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `ZEROBOUNCE_ACTIVITY_DATA` | Get Activity Data | Tool to get activity data (opens, clicks, etc.) for a given email. use after confirming the email address to gauge engagement recency. |
| `ZEROBOUNCE_AI_SCORING_SINGLE` | AI Scoring Single Email | Tool to score a single email address using zerobounce ai. use when you need real-time email lead quality feedback before outreach. example prompt: "score the email mark@gmail.com." |
| `ZEROBOUNCE_ALLOW_BLOCK_LIST` | Allow or Block List | Tool to manage allowlist and blocklist for email validation. use when you need to programmatically add or modify custom filters before validating emails. |
| `ZEROBOUNCE_BATCH_VALIDATE_EMAILS` | Batch Validate Emails | Tool to validate a batch of email addresses in real time. use when you need to validate up to 200 emails at once with optional activity data. |
| `ZEROBOUNCE_DELETE_FILE` | Delete file | Tool to delete a file that was submitted for bulk validation. use when file status is 'complete'. |
| `ZEROBOUNCE_DOMAIN_SEARCH_FILE_STATUS` | Domain Search File Status | Tool to get the processing status of a file submitted for bulk domain search. use after submitting the file to poll status. |
| `ZEROBOUNCE_DOMAIN_SEARCH_GET_FILE` | Domain Search Get File | Tool to download the results file for a completed bulk domain search job. use when you have the file id and the job is complete. |
| `ZEROBOUNCE_DOMAIN_SEARCH_SEND_FILE` | Domain Search Send File | Tool to upload a file for bulk domain search. use when you have many domains in a csv/txt and need to lookup their details in bulk. |
| `ZEROBOUNCE_DOMAIN_SEARCH_SINGLE` | Domain Search Single | Tool to identify common email address formats for a given domain. use when you need to guess email patterns for a company based on its domain. |
| `ZEROBOUNCE_EMAIL_FINDER_DELETE_FILE` | Delete Email Finder File | Tool to delete a file that was submitted for bulk email finding. use when the file processing status is 'complete' and you need to remove it. |
| `ZEROBOUNCE_EMAIL_FINDER_FILE_STATUS` | Email Finder File Status | Tool to get the processing status of a file submitted for bulk email finding. use when you need to poll the progress of a bulk email-finder file upload. |
| `ZEROBOUNCE_EMAIL_FINDER_SEND_FILE` | Email Finder Send File | Tool to upload a file for bulk email finding. use when you have lists of names and domains to find emails in bulk via csv/txt upload. |
| `ZEROBOUNCE_EMAIL_FINDER_SINGLE` | Email Finder Single | Tool to find an email address for a given person and domain. use when you need to locate a professional email from a person's name and company domain. use after confirming domain or company info. |
| `ZEROBOUNCE_GET_API_USAGE` | Get API Usage | Tool to retrieve api usage statistics for a given period. use when you need usage metrics between two dates. |
| `ZEROBOUNCE_GET_CREDIT_BALANCE` | Get Credit Balance | Tool to retrieve your current zerobounce email validation credit balance. use when you need to monitor remaining credits to avoid service interruptions. |
| `ZEROBOUNCE_LIST_EVALUATOR` | List Evaluator | Tool to evaluate the quality of an email list. use when you have a list of emails and need a quick health check before full validation. |
| `ZEROBOUNCE_SEND_FILE` | Send File | Tool to upload a file for bulk email validation. use when you need to validate large lists of emails via csv or txt file. |
| `ZEROBOUNCE_VALIDATE_EMAIL` | Validate Email | Tool to validate a single email address in real time. use when you need to confirm deliverability and domain details before sending emails. |

## Supported Triggers

None listed.

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

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

mcp_url = session.mcp.url
```

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

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

## Related Toolkits

- [Reddit](https://composio.dev/toolkits/reddit) - Reddit is a social news platform with thriving user-driven communities (subreddits). It's the go-to place for discussion, content sharing, and viral marketing.
- [Facebook](https://composio.dev/toolkits/facebook) - Facebook is a social media and advertising platform for businesses and creators. It helps you connect, share, and manage content across your public Facebook Pages.
- [Linkedin](https://composio.dev/toolkits/linkedin) - LinkedIn is a professional networking platform for connecting, sharing content, and engaging with business opportunities. It's the go-to place for building your professional brand and unlocking new career connections.
- [Active campaign](https://composio.dev/toolkits/active_campaign) - ActiveCampaign is a marketing automation and CRM platform for managing email campaigns, sales pipelines, and customer segmentation. It helps businesses engage customers and drive growth through smart automation and targeted outreach.
- [ActiveTrail](https://composio.dev/toolkits/active_trail) - ActiveTrail is a user-friendly email marketing and automation platform. It helps you reach subscribers and automate campaigns with ease.
- [Ahrefs](https://composio.dev/toolkits/ahrefs) - Ahrefs is an SEO and marketing platform for site audits, keyword research, and competitor insights. It helps you improve search rankings and drive organic traffic.
- [Amcards](https://composio.dev/toolkits/amcards) - AMCards lets you create and mail personalized greeting cards online. Build stronger customer relationships with easy, automated card campaigns.
- [Beamer](https://composio.dev/toolkits/beamer) - Beamer is a news and changelog platform for in-app announcements and feature updates. It helps companies boost user engagement by sharing news where users are most active.
- [Benchmark email](https://composio.dev/toolkits/benchmark_email) - Benchmark Email is a platform for creating, sending, and tracking email campaigns. It's built to help you engage audiences and analyze results—all in one place.
- [Bigmailer](https://composio.dev/toolkits/bigmailer) - BigMailer is an email marketing platform for managing multiple brands with white-labeling and automation. It helps teams streamline campaigns and simplify integration with Amazon SES.
- [Brandfetch](https://composio.dev/toolkits/brandfetch) - Brandfetch is an API that delivers company logos, colors, and visual branding assets. It helps marketers and developers keep brand visuals consistent everywhere.
- [Brevo](https://composio.dev/toolkits/brevo) - Brevo is an all-in-one email and SMS marketing platform for transactional messaging, automation, and CRM. It helps businesses engage customers and streamline communications through powerful campaign tools.
- [Campayn](https://composio.dev/toolkits/campayn) - Campayn is an email marketing platform for creating, sending, and managing campaigns. It helps businesses engage contacts and grow audiences with easy-to-use tools.
- [Cardly](https://composio.dev/toolkits/cardly) - Cardly is a platform for creating and sending personalized direct mail to customers. It helps businesses break through the digital clutter by getting real engagement via physical mailboxes.
- [ClickSend](https://composio.dev/toolkits/clicksend) - ClickSend is a cloud-based SMS and email marketing platform for businesses. It streamlines communication by enabling quick message delivery and contact management.
- [Crustdata](https://composio.dev/toolkits/crustdata) - CrustData is an AI-powered data intelligence platform for real-time company and people data. It helps B2B sales teams, AI SDRs, and investors react to live business signals.
- [Curated](https://composio.dev/toolkits/curated) - Curated is a platform for collecting, curating, and publishing newsletters. It streamlines content aggregation and distribution for creators and teams.
- [Customerio](https://composio.dev/toolkits/customerio) - Customer.io is a customer engagement platform for targeted messaging across email, SMS, and push. Easily automate, segment, and track communications with your audience.
- [Cutt ly](https://composio.dev/toolkits/cutt_ly) - Cutt.ly is a URL shortening service for managing and analyzing links. Streamline your workflows with quick, trackable, and branded short URLs.
- [Demio](https://composio.dev/toolkits/demio) - Demio is webinar software built for marketers, offering both live and automated sessions with interactive features. It helps teams engage audiences and optimize lead generation through detailed analytics.

## Frequently Asked Questions

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

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

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

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

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