# How to integrate Neverbounce MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Neverbounce MCP with OpenAI Agents SDK",
  "toolkit": "Neverbounce",
  "toolkit_slug": "neverbounce",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/neverbounce/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/neverbounce/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:20:05.703Z"
}
```

## Introduction

This guide walks you through connecting Neverbounce to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Neverbounce agent that can verify a list of emails for bounces, download csv results from last bulk job, check your current neverbounce credit balance through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Neverbounce account through Composio's Neverbounce MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Neverbounce with

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

The Neverbounce MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Neverbounce account. It provides structured and secure access to your email verification tools, so your agent can perform actions like bulk verifying lists, checking job statuses, downloading results, and managing your account seamlessly.
- Instant email verification and validation: Quickly verify email addresses for validity to reduce bounce rates and improve deliverability right from your agent.
- Bulk email job management: Create, start, and track bulk verification jobs for entire email lists, letting your agent handle large-scale email hygiene automatically.
- Automated job result retrieval: Download or fetch completed job results as CSVs or paginated data, making it easy to integrate verified emails into your workflows.
- Account usage and credit tracking: Let your agent monitor account stats, credits, and usage so you always know your verification capacity and performance.
- Secure job and data deletion: Direct your agent to permanently delete outdated or unnecessary jobs, ensuring your data remains clean and compliant.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `NEVERBOUNCE_ACCOUNT_INFO` | Get Account Info | Tool to get account information including credits, job counts, and usage statistics. Use when retrieving NeverBounce account summary after authentication. |
| `NEVERBOUNCE_CONFIRM_POE` | Confirm Proof of Email | Tool to confirm proof of email ownership (POE) from the JavaScript widget. Use when verifying server-side that a user confirmed their email through the widget. |
| `NEVERBOUNCE_JOBS_CREATE` | Create NeverBounce Bulk Verification Job | Tool to create a new bulk verification job with parsing, sampling, and callback options. Use for asynchronous list verification with advanced control. |
| `NEVERBOUNCE_JOBS_DELETE` | Delete NeverBounce Job | Tool to permanently delete a job and its results. Use when you need to irreversibly remove a bulk verification job. This delete is irreversible. |
| `NEVERBOUNCE_JOBS_DOWNLOAD_GET` | Download Job Results (GET) | Tool to download job results as a CSV file via GET. Use after job completion to retrieve segmented or enriched CSV output. |
| `NEVERBOUNCE_JOBS_RESULTS` | Retrieve Job Results | Tool to retrieve paginated results for a completed job, including original data and verification outcomes. Use after confirming job completion; avoid aggressive polling as repeated calls before completion risk rate limit errors. |
| `NEVERBOUNCE_JOBS_START` | Start NeverBounce Job | Tool to start a parsed job when auto_start is disabled. Use when you need to manually initiate a job that was created with auto_start=false. |
| `NEVERBOUNCE_JOBS_STATUS` | Get bulk job status | Tool to get the status and progress of a bulk verification job. Use when |
| `NEVERBOUNCE_PARSE_JOB` | Parse NeverBounce Job | Tool to parse a job created with auto_parse disabled. Use when you need to manually parse a job. Cannot reparse once parsed. |
| `NEVERBOUNCE_SEARCH_JOBS` | Search bulk verification jobs | Tool to search and list bulk verification jobs in your account with pagination and filtering. Use when retrieving jobs by id, filename, or status, or when listing all jobs with pagination. |
| `NEVERBOUNCE_SINGLE_CHECK` | NeverBounce Single Check | Tool to verify a single email address and gather additional information. Use when you need real-time validation at the point of entry. |
| `NEVERBOUNCE_WIDGET_SEND_EVENT` | JS Widget Send Event | Tool to send widget form events via the JS widget API. Use when reporting form.load or form.completion events after user interactions with your form. |

## Supported Triggers

None listed.

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

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

mcp_url = session.mcp.url
```

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

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

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- [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 Neverbounce MCP?

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

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

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

---
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