# How to integrate Clearout MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Clearout MCP with OpenAI Agents SDK",
  "toolkit": "Clearout",
  "toolkit_slug": "clearout",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/clearout/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/clearout/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:06:22.092Z"
}
```

## Introduction

This guide walks you through connecting Clearout to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Clearout agent that can validate a list of emails for deliverability, check if this email is a business account, find the most likely domain for acme corp through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Clearout account through Composio's Clearout MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Clearout with

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

The Clearout MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Clearout account. It provides structured and secure access to email validation, prospecting, and enrichment tools, so your agent can perform actions like verifying email addresses, finding business contacts, checking domain details, and bulk-processing lists on your behalf.
- AI-powered email verification: Instantly validate single or bulk email addresses to ensure deliverability and reduce bounce rates.
- Email prospecting and enrichment: Find emails for people or companies, complete missing contact data, and verify if accounts are business or personal.
- Domain and company intelligence: Retrieve company domains from names, fetch MX records, or pull WHOIS information to understand your leads and their infrastructure.
- Disposable and catch-all detection: Check if an email is temporary or if a domain accepts all mail, helping you maintain list quality and avoid spam traps.
- Bulk job automation: Upload, process, monitor, cancel, and download results for large-scale email finding and verification tasks, all through your agent.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `CLEAROUT_AUTOCOMPLETE_COMPANY_TO_DOMAIN` | Autocomplete Company to Domain | Tool to autocomplete company names to probable domains with confidence scores. Use after obtaining a company name or URL to get suggestions. |
| `CLEAROUT_BUSINESS_ACCOUNT_VERIFY` | Business Account Verify | Tool to check if an email belongs to a business/work account. Use when validating corporate emails before onboarding. |
| `CLEAROUT_CATCH_ALL_VERIFY` | Catch-All Verify | Tool to check if an email domain is catch-all. Use after confirming email validity. |
| `CLEAROUT_DISPOSABLE_VERIFY` | Verify Disposable Email | Tool to check if an email is from a disposable provider. Use after acquiring an email address. |
| `CLEAROUT_DOMAIN_FIND_MX` | Find Domain MX Records | Tool to retrieve MX records for a domain in priority order. Use when you need to find a domain's mail servers (e.g., for email routing setup). |
| `CLEAROUT_DOMAIN_FIND_WHOIS` | Fetch Domain WHOIS Information | Tool to fetch WHOIS record for a domain. Use when you need WHOIS data for a domain. |
| `CLEAROUT_EMAIL_FINDER_BULK` | Bulk Email Finder | Tool to upload a CSV or XLSX contacts file for bulk email finding. Use when you need to find emails for a list of contacts in bulk. |
| `CLEAROUT_EMAIL_FINDER_BULK_CANCEL` | Cancel Bulk Email Finder Job | Tool to cancel a running bulk email finder job. Use when you need to stop an in-progress list scan before completion. |
| `CLEAROUT_EMAIL_FINDER_BULK_RESULT_DOWNLOAD` | Bulk Email Finder Result Download | Tool to generate a bulk email finder result download URL. Use after confirming bulk job completion to retrieve the result file link. |
| `CLEAROUT_EMAIL_VERIFY_BULK` | Bulk Email Verify | Tool to upload a CSV or XLSX file for bulk email verification. Use when you have a list of emails to verify in bulk. |
| `CLEAROUT_EMAIL_VERIFY_BULK_CANCEL` | Cancel Bulk Email Verification Job | Cancel an in-progress bulk email verification job. Use this to stop a running verification before it completes, saving credits for unprocessed emails. The job must be in a cancellable state (not already completed or cancelled). Returns error code 1029 if list doesn't exist, or error code 1116 if the list is not in a cancellable stage. |
| `CLEAROUT_EMAIL_VERIFY_BULK_PROGRESS_STATUS` | Bulk Email Verify Progress Status | Tool to retrieve progress for a bulk email verification job. Use after initiating a bulk verification to poll its state and percent complete. |
| `CLEAROUT_EMAIL_VERIFY_BULK_RESULT_DOWNLOAD` | Bulk Email Verify Result Download | Tool to obtain a temporary URL for bulk email verification results. Use after completing a bulk verification job to download the results file. |
| `CLEAROUT_EMAIL_VERIFY_GET_CREDITS` | Email Verify Get Credits | Tool to fetch available email verification credits. Use when checking remaining credits before performing email verifications. |
| `CLEAROUT_EMAIL_VERIFY_INSTANT` | Instant Email Verifier | Tool to instantly verify a single email address. Use when you need real-time validation before processing an email. |
| `CLEAROUT_FREE_ACCOUNT_VERIFY` | Verify Free Email Account | Tool to detect if an email is from a free email service provider. Use after confirming the email format. |
| `CLEAROUT_GIBBERISH_ACCOUNT_VERIFY` | Verify Gibberish Email | Tool to verify if an email address is gibberish. Use when filtering out nonsensical or invalid-looking emails. |
| `CLEAROUT_REVERSE_LOOKUP_FIND_COMPANY_VIA_DOMAIN` | Reverse Lookup Company by Domain | Find company information (name, logo, LinkedIn URL, address) by looking up its domain name. Returns company profile data if found, or an error with code 5025 if no profile exists for the domain. |
| `CLEAROUT_REVERSE_LOOKUP_FIND_PERSON_VIA_EMAIL` | Reverse Lookup Person by Email | Tool to retrieve a person’s profile from an email address. Use when you want to enrich a valid email with associated person details. |
| `CLEAROUT_REVERSE_LOOKUP_FIND_PERSON_VIA_LINKED_IN` | Find Person via LinkedIn URL | Tool to discover person information via a LinkedIn profile URL. Use when you need to retrieve person’s profile details from a LinkedIn URL. |
| `CLEAROUT_ROLE_ACCOUNT_VERIFY` | Role Account Verifier | Tool to determine if an email is a role-based account. Use when identifying group mailboxes (e.g., support@) before sending targeted communications. |

## Supported Triggers

None listed.

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

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

mcp_url = session.mcp.url
```

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

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

## Related Toolkits

- [Aeroleads](https://composio.dev/toolkits/aeroleads) - Aeroleads is a B2B lead generation platform for finding business emails and phone numbers. Grow your sales pipeline faster with powerful prospecting tools.
- [Autobound](https://composio.dev/toolkits/autobound) - Autobound is an AI-powered sales engagement platform that crafts hyper-personalized outreach and insights. It helps sales teams boost response rates and close more deals through tailored content and recommendations.
- [Better proposals](https://composio.dev/toolkits/better_proposals) - Better Proposals is a web-based tool for crafting and sending professional proposals. It helps teams impress clients and close deals faster with slick, easy-to-use templates.
- [Bidsketch](https://composio.dev/toolkits/bidsketch) - Bidsketch is a proposal software that helps businesses create professional proposals quickly and efficiently. It streamlines the proposal process, saving time while boosting client win rates.
- [Bolna](https://composio.dev/toolkits/bolna) - Bolna is an AI platform for building conversational voice agents. It helps businesses automate support and streamline interactions through natural, voice-powered conversations.
- [Botsonic](https://composio.dev/toolkits/botsonic) - Botsonic is a no-code AI chatbot builder for easily creating and deploying chatbots to your website. It empowers businesses to offer conversational experiences without writing code.
- [Botstar](https://composio.dev/toolkits/botstar) - BotStar is a comprehensive chatbot platform for designing, developing, and training chatbots visually on Messenger and websites. It helps businesses automate conversations and customer interactions without coding.
- [Callerapi](https://composio.dev/toolkits/callerapi) - CallerAPI is a white-label caller identification platform for branded caller ID and fraud prevention. It helps businesses boost customer trust while stopping spam, fraud, and robocalls.
- [Callingly](https://composio.dev/toolkits/callingly) - Callingly is a lead response management platform that automates immediate call and text follow-ups with new leads. It helps sales teams boost response speed and close more deals by connecting seamlessly with CRMs and lead sources.
- [Callpage](https://composio.dev/toolkits/callpage) - Callpage is a lead capture platform that lets businesses instantly connect with website visitors via callback. It boosts lead generation and increases your sales conversion rates.
- [Clientary](https://composio.dev/toolkits/clientary) - Clientary is a platform for managing clients, invoices, projects, proposals, and more. It streamlines client work and saves you serious admin time.
- [Convolo ai](https://composio.dev/toolkits/convolo_ai) - Convolo ai is an AI-powered communications platform for sales teams. It accelerates lead response and improves conversion rates by automating calls and integrating workflows.
- [Delighted](https://composio.dev/toolkits/delighted) - Delighted is a customer feedback platform based on the Net Promoter System®. It helps you quickly gather, track, and act on customer sentiment.
- [Docsbot ai](https://composio.dev/toolkits/docsbot_ai) - Docsbot ai is a platform that lets you build custom AI chatbots trained on your documentation. It automates customer support and content generation, saving time and improving response quality.
- [Emelia](https://composio.dev/toolkits/emelia) - Emelia is an all-in-one B2B prospecting platform for cold-email, LinkedIn outreach, and prospect research. It streamlines outbound campaigns so you can find, engage, and warm up leads faster.
- [Findymail](https://composio.dev/toolkits/findymail) - Findymail is a B2B data provider offering verified email and phone contacts for sales prospecting. Enhance outreach with automated exports, email verification, and CRM enrichment.
- [Freshdesk](https://composio.dev/toolkits/freshdesk) - Freshdesk is customer support software with ticketing and automation tools. It helps teams streamline helpdesk operations for faster, better customer support.
- [Fullenrich](https://composio.dev/toolkits/fullenrich) - FullEnrich is a B2B contact enrichment platform that aggregates emails and phone numbers from 15+ data vendors. Instantly find and verify lead contact data to boost your outreach.
- [Gatherup](https://composio.dev/toolkits/gatherup) - GatherUp is a customer feedback and online review management platform. It helps businesses boost their reputation by streamlining how they collect and manage customer feedback.
- [Getprospect](https://composio.dev/toolkits/getprospect) - Getprospect is a business email discovery tool with LinkedIn integration. Use it to quickly find and verify professional email addresses.

## Frequently Asked Questions

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

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

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

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

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