# How to integrate Listclean MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Listclean MCP with OpenAI Agents SDK",
  "toolkit": "Listclean",
  "toolkit_slug": "listclean",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/listclean/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/listclean/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:17:46.266Z"
}
```

## Introduction

This guide walks you through connecting Listclean to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Listclean agent that can verify if this email address is valid, check how many email credits i have left, create a csv for bulk email verification through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Listclean account through Composio's Listclean MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Listclean with

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

The Listclean MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Listclean account. It provides structured and secure access to your email verification tools, so your agent can perform actions like verifying emails, managing bulk verification lists, checking credits, and retrieving account info on your behalf.
- Single email verification: Instantly check if an email address is valid, deliverable, or disposable—perfect for real-time signups or contact forms.
- Bulk email list processing: Have your agent generate and upload CSV files of email addresses for large-scale verification and list cleaning.
- Account credit monitoring: Easily monitor your remaining verification credits so your automations never hit a surprise limit.
- Profile data retrieval: Let your agent fetch and review your Listclean account profile details for audits or reporting purposes.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `LISTCLEAN_CREATE_BULK_VERIFICATION_LIST` | Create Bulk Verification List | Tool to create a CSV file with provided email addresses for bulk verification. Use when you need to generate a file for bulk upload through LISTCLEAN_UPLOAD_LIST. |
| `LISTCLEAN_DELETE_LIST` | Delete List | Tool to permanently delete a single list from the account. Use when you need to remove a list that is no longer needed. |
| `LISTCLEAN_DOWNLOAD_CSV` | Download List Results as CSV | Tool to download list results as a CSV file. Use when you need to retrieve verification results filtered by email type (clean, dirty, or unknown). |
| `LISTCLEAN_DOWNLOAD_JSON` | Download List Results as JSON | Tool to download list results as JSON. Downloads emails filtered by type (clean, dirty, or unknown) in JSON format. Use after list verification is complete to retrieve filtered results. |
| `LISTCLEAN_GET_ACCOUNT_PROFILE` | Get Account Profile | Tool to retrieve the authenticated account's profile. Use after obtaining a valid auth token to fetch user account data. |
| `LISTCLEAN_GET_CREDITS` | Get Remaining Credits | Tool to retrieve remaining verification credits. Use when you need to check your available account credits before performing more email verifications. |
| `LISTCLEAN_GET_LIST` | Get List Information | Tool to retrieve detailed information for a specific list. Returns analytics with clean/dirty breakdown, cost details, and processing status. |
| `LISTCLEAN_GET_UPLOAD_STATUS` | Get Upload Status | Tool to retrieve the status of a specific upload. Returns upload status (inprocess, success, error), progress percentage, and chunk details. Use after initiating an upload to track its completion. |
| `LISTCLEAN_GET_VERIFICATION_LOGS` | Get Verification Logs | Tool to retrieve logs for all single email verifications. Returns history of email verifications with status, remarks, credits deducted, and timestamps. |
| `LISTCLEAN_LIST_ALL` | List All Verification Lists | Tool to retrieve all email verification lists. Returns all processed lists with complete analytics including clean/dirty counts, summary statistics, and cost information. |
| `LISTCLEAN_LIST_UPLOADS` | List CSV Uploads | Tool to retrieve the list of CSV uploads. Use when you need to check upload IDs, status, and progress for all CSV file uploads in your account. |
| `LISTCLEAN_START_UPLOAD` | Start Upload | Tool to start a CSV upload process for bulk email verification. Initializes chunked file upload and returns an upload_id for subsequent chunk uploads. Use when you need to upload large CSV files containing email addresses. |
| `LISTCLEAN_UPDATE_PROFILE` | Update Account Profile | Tool to update account profile details. Use when you need to modify user profile information such as name, address, contact details, company information, or billing details. |
| `LISTCLEAN_UPLOAD_CHUNK` | Upload Chunk | Tool to upload a chunk of a CSV file. Use when sending base64-encoded content with sequence number as part of chunked upload process, optionally with MD5 checksum for integrity verification. |
| `LISTCLEAN_VERIFY_BATCH` | Verify Batch of Emails | Tool to verify a batch of email addresses (max 3000 emails). Use when you need to verify multiple emails at once and get a list_id for tracking the batch verification request. |
| `LISTCLEAN_VERIFY_EMAIL` | Verify Email Address | Tool to verify an email's validity. Use when you need to ensure an address is deliverable and non-disposable, after collecting a user's email. |

## Supported Triggers

None listed.

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

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

mcp_url = session.mcp.url
```

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

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

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- [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 Listclean MCP?

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

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

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

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