# How to integrate Unione MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Unione MCP with OpenAI Agents SDK",
  "toolkit": "Unione",
  "toolkit_slug": "unione",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/unione/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/unione/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-06T08:32:44.085Z"
}
```

## Introduction

This guide walks you through connecting Unione to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Unione agent that can check your current unione email balance, cancel a scheduled email by job id, list all sender domains and their status through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Unione account through Composio's Unione MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Unione with

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

The Unione MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Unione account. It provides structured and secure access to your Unione email delivery service, so your agent can send transactional or marketing emails, manage sending domains, monitor delivery events, check account balance, and automate email operations on your behalf.
- Automated email sending and scheduling: Have your agent send transactional or marketing emails and even schedule deliveries right from your Unione account.
- Domain verification and management: Easily manage sender domains, trigger domain verifications, and handle DNS/DKIM checks to keep your emails deliverable.
- Event monitoring and export: Let your agent fetch specific email events, retrieve delivery metrics, or export comprehensive email event logs for auditing and analytics.
- Account balance and plan checks: Quickly access your current email balance and subscription plan details, ensuring you stay within your sending limits.
- Email job and pricing insights: Retrieve detailed information about specific email jobs and get up-to-date pricing for cost management before sending campaigns.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `UNIONE_EMAIL_BALANCE` | UniOne Email Balance | Tool to retrieve current account balance. use when you need to check your email usage and limits before sending large campaigns. |
| `UNIONE_EMAIL_CANCEL` | Cancel Scheduled Email | Tool to cancel a scheduled transactional email by its job id. use when you need to stop a pending email send before it's dispatched. |
| `UNIONE_EMAIL_DOMAIN` | UniOne Email Domain Management | Tool to manage sender domains in unione. use when you need dns records for verification, trigger verification or dkim checks, list domains, or delete a domain. |
| `UNIONE_EMAIL_EVENT_GET` | Get Email Event | Tool to retrieve details of a specific email event by its id. use when you need event information for auditing or diagnostics. |
| `UNIONE_EMAIL_EVENT_TYPES` | UniOne Email Event Types | Tool to retrieve supported email event types. use when you need a list of possible event codes for filtering or analytics. |
| `UNIONE_EMAIL_GET` | Get Email Send Job | Tool to retrieve detailed information about a specific email send job. use when you need its delivery metrics and history. |
| `UNIONE_EMAIL_LIST` | UniOne Email List (Export) | Tool to export email events within a specified time frame. it creates an asynchronous event dump which can later be downloaded and parsed using unione event dump get. |
| `UNIONE_EMAIL_LOG` | UniOne Email Event Log | Tool to initiate an asynchronous export of email events (event dump). use when you need to export transactional email events for a specified time window. |
| `UNIONE_EMAIL_PLAN` | UniOne Email Plan | Tool to retrieve current subscription plan details. use when you need to check your project and account plan limits before sending bulk emails. |
| `UNIONE_EMAIL_PRICING` | UniOne Email Pricing | Tool to retrieve current email pricing. use when you need to check per-email cost rates before sending emails. |
| `UNIONE_EMAIL_QUOTA` | UniOne Email Quota | Tool to retrieve current email sending quota. use when you need to check your remaining quota before sending emails. |
| `UNIONE_EMAIL_RESEND` | Resend Sent Email | Tool to resend a previously sent email by its job id. use when you need to trigger a resend of an email that has already been sent and you have the original job id. |
| `UNIONE_EMAIL_RESUBSCRIBE` | UniOne Email Resubscribe | Tool to resubscribe a recipient who previously unsubscribed. use when you need to restore a user's subscription status after they opt in again. |
| `UNIONE_EMAIL_RESUME` | Resume Paused Email | Tool to resume a paused transactional email by its job id. use when you need to restart a paused pending email send. |
| `UNIONE_EMAIL_SCHEDULE` | UniOne Email Schedule | Tool to schedule a transactional email up to 24 hours ahead. use when you need to send an email at a specific future time. |
| `UNIONE_EMAIL_SMTP` | UniOne Email SMTP Configuration | Tool to retrieve smtp server details and credentials. use when you need to configure your mail client or library for smtp sending. |
| `UNIONE_EMAIL_STATISTICS` | UniOne Email Statistics | Tool to retrieve email sending statistics over a specified time range. this action uses unione's event-dump aggregate api under the hood to compute daily statistics. |
| `UNIONE_EMAIL_UNSUBSCRIBE` | UniOne Email Unsubscribe | Tool to unsubscribe an email from future emails. use when you need to stop all further transactional emails. |
| `UNIONE_EMAIL_VALIDATE` | Validate Email Address | Tool to validate an email address. use when you need deliverability diagnostics after compiling your recipient list. |
| `UNIONE_EMAIL_VALIDATE_BATCH` | Batch Email Validation | Tool to validate multiple email addresses in a batch. use when you need to verify deliverability for a list of emails at once. |
| `UNIONE_EMAIL_VALIDATE_RESEND` | Resend Email Validation Results | Tool to resend results of an email validation request. use when you need to retrieve validation results again by request id. |
| `UNIONE_EMAIL_VALIDATE_RESULT` | UniOne Email Validate Result | Tool to retrieve the detailed result of an email validation request. updated behavior: uses the official single email validation endpoint to synchronously obtain full diagnostics for the provided email address. |
| `UNIONE_EMAIL_VALIDATE_RETRY` | Retry Email Validation | Tool to retry an email validation request. updated to re-run validation via the official single validation endpoint using the provided email address. |
| `UNIONE_EMAIL_VALIDATE_STATUS` | UniOne Email Validate Status | Tool to retrieve the current status of an email validation request. use when you need to poll for completion status. |
| `UNIONE_EMAIL_WEBHOOK_TYPES` | UniOne Email Webhook Types | Tool to retrieve supported email webhook event types. use when configuring your webhook callbacks. |
| `UNIONE_EVENT_DUMP_CREATE` | Create Event Dump | Tool to create an asynchronous csv event dump. use when you need to export transactional email events for a specified time window. |
| `UNIONE_EVENT_DUMP_LIST` | UniOne Event Dump List | Tool to retrieve the full list of event dumps. use when you need to view all existing event-dump tasks. |
| `UNIONE_SCHEDULE_EMAIL` | Schedule Email | Tool to schedule a transactional email up to 24 hours ahead. use when you need to send an email at a specific future time. |
| `UNIONE_SUPPRESSION_LIST` | Suppression List | Tool to return the suppression list since a given date. use when auditing bounced, unsubscribed, or blocked recipients. |
| `UNIONE_TAG_DELETE` | Delete Tag | Tool to delete a specific tag. use when you have confirmed the tag id you wish to remove. |
| `UNIONE_TAG_LIST` | UniOne Tag List | Tool to retrieve all user-defined tags. use when you need to fetch the full list of tags after authentication. |
| `UNIONE_TEMPLATE_LIST` | UniOne Template List | Tool to list email templates. use when you need to retrieve available templates for transactional emails. |
| `UNIONE_TEMPLATE_SET` | Set Template | Tool to set or update an email template. use when you need to create or modify transactional email templates before sending messages. |
| `UNIONE_UNIONE_EMAIL_VALIDATE_DELETE` | Delete Email Validation Request | Tool to delete an email validation request. use when a validation job should be canceled by its id. |
| `UNIONE_UNIONE_EVENT_DUMP_GET` | Get Event Dump | Tool to retrieve the contents of a specific event dump. use when you have the dump identifier (from event-dump/create) and need its status and download urls. |
| `UNIONE_WEBHOOK_SET` | Set Webhook | Tool to set or edit a webhook event notification handler. use when you need to configure your webhook for event callbacks. |

## Supported Triggers

None listed.

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

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

mcp_url = session.mcp.url
```

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

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

## Related Toolkits

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

## Frequently Asked Questions

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

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

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

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

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