# How to integrate Findymail MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Findymail MCP with OpenAI Agents SDK",
  "toolkit": "Findymail",
  "toolkit_slug": "findymail",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/findymail/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/findymail/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:11:28.700Z"
}
```

## Introduction

This guide walks you through connecting Findymail to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Findymail agent that can find verified email for john at acme.com, create a new contact list for leads, verify deliverability of this email address through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Findymail account through Composio's Findymail MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Findymail with

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

The Findymail MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Findymail account. It provides structured and secure access to verified B2B contact data, so your agent can create and manage contact lists, find and verify emails, and streamline your outreach workflow automatically.
- Automated contact list management: Let your agent create new contact lists, fetch all your lists, or delete lists as your prospecting needs change.
- Precise contact discovery: Ask your agent to find and retrieve emails for prospects based on full name and company domain, making it easier to build targeted outreach campaigns.
- Bulk contact retrieval: Direct your agent to list all contacts within a specific list, enabling quick access to leads for export or follow-up.
- Email deliverability verification: Have your agent check if an email address is valid and safe to use before sending that crucial first message.
- Seamless CRM enrichment: Use verified contact details to automatically enrich your CRM, helping you keep data accurate and actionable for your sales team.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `FINDYMAIL_ADD_EXCLUDED_DOMAIN` | Add Excluded Domain | Tool to add domains to an exclusion list in Findymail. Use when you need to prevent email searches or verification for specific domains. |
| `FINDYMAIL_CREATE_EXCLUSION_LIST` | Create Exclusion List | Tool to create a new exclusion list for Intellimatch searches. Use when you need to filter out specific companies or contacts from search results. |
| `FINDYMAIL_CREATE_LIST` | Create Contact List | Tool to create a new contact list. Use when you need to organize contacts into a named list before adding them. |
| `FINDYMAIL_DELETE_EXCLUSION_LIST` | Delete Exclusion List | Tool to permanently delete an exclusion list by its ID. Use when you need to remove an exclusion list from Intellimatch. This action is irreversible. |
| `FINDYMAIL_DELETE_LIST` | Delete Contact List | Permanently deletes a contact list by its ID. This action is irreversible and will also remove all contacts in the list. Returns 404 if the list does not exist. |
| `FINDYMAIL_FIND_EMAIL_BY_NAME` | Find Email by Name | Tool to find someone's email using their full name and company domain. Use when you have a person's name and domain and need their email address. Supports asynchronous search via webhook_url. |
| `FINDYMAIL_GET_CONTACT_LISTS` | Get Contact Lists | Tool to retrieve all contact lists. Use when you need an overview of your existing Findymail lists. |
| `FINDYMAIL_GET_CREDITS` | Get Credits | Tool to check available API credits for your Findymail account. Use when you need to verify remaining credits before performing operations. |
| `FINDYMAIL_GET_CREDITS_SUMMARY` | Get Credits Summary | Tool to retrieve credits usage summary report for the authenticated account. Use when you need to check credits consumption over time. |
| `FINDYMAIL_GET_CREDITS_TEAM_SUMMARY` | Get Credits Team Summary | Tool to retrieve team credits usage summary report. Use when you need an overview of credit consumption across team members. |
| `FINDYMAIL_GET_EXCLUSION_LIST` | Get Exclusion List | Tool to retrieve a specific exclusion list by ID. Use when you need details about a particular exclusion list. |
| `FINDYMAIL_GET_INTELLIMATCH_DATA` | Get Intellimatch Data | Tool to retrieve data from an Intellimatch search. Use after initiating a search with POST /api/intellimatch/search and confirming completion with GET /api/intellimatch/status. |
| `FINDYMAIL_GET_INTELLIMATCH_STATUS` | Get Intellimatch Status | Tool to check the status of an Intellimatch search job. Use when you need to verify if an Intellimatch search has completed after initiating it. |
| `FINDYMAIL_LIST_CONTACTS` | List Contacts | Tool to retrieve contacts from a specified list (paginated). Use after selecting a list to fetch its contacts. |
| `FINDYMAIL_LIST_EXCLUDED_DOMAINS` | List Excluded Domains | Tool to retrieve domains excluded from Intellimatch searches. Use when you need to view the current domain exclusion list. |
| `FINDYMAIL_LIST_EXCLUSION_LISTS` | List Exclusion Lists | Tool to retrieve all exclusion lists for managing excluded websites from Intellimatch searches. Use when you need to view configured website exclusions. |
| `FINDYMAIL_REMOVE_EXCLUDED_DOMAIN` | Remove Excluded Domain | Tool to remove domains from the exclusion list. Use when you need to stop excluding specific domains from email search results. |
| `FINDYMAIL_SEARCH_INTELLIMATCH` | Search Intellimatch | Tool to find companies and contacts using natural language queries. Use when you need to build targeted lead lists automatically by describing your ideal customer profile in plain language. |
| `FINDYMAIL_UPDATE_EXCLUSION_LIST` | Update Exclusion List | Tool to update an existing exclusion list. Use when you need to rename or modify an exclusion list's properties. |
| `FINDYMAIL_UPDATE_LIST` | Update Contact List | Tool to update an existing contact list. Use when you need to rename a list or change its sharing settings. |
| `FINDYMAIL_VERIFY_EMAIL` | Verify Email | Tool to verify the deliverability of an email address. Use when you need to confirm an email can receive messages before outreach. |

## Supported Triggers

None listed.

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

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

mcp_url = session.mcp.url
```

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

- [Claude Agent SDK](https://composio.dev/toolkits/findymail/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/findymail/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/findymail/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/findymail/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/findymail/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/findymail/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/findymail/framework/cli)
- [Google ADK](https://composio.dev/toolkits/findymail/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/findymail/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/findymail/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/findymail/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/findymail/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/findymail/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.
- [Clearout](https://composio.dev/toolkits/clearout) - Clearout is an AI-powered service for verifying, finding, and enriching email addresses. It boosts deliverability and helps you discover high-quality leads effortlessly.
- [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.
- [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 Findymail MCP?

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

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

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

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