# How to integrate Mailsoftly MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Mailsoftly MCP with OpenAI Agents SDK",
  "toolkit": "Mailsoftly",
  "toolkit_slug": "mailsoftly",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/mailsoftly/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/mailsoftly/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:18:23.464Z"
}
```

## Introduction

This guide walks you through connecting Mailsoftly to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Mailsoftly agent that can verify if your mailsoftly api key is valid, check our company profile details on mailsoftly, confirm mailsoftly account credentials before sending campaign through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Mailsoftly account through Composio's Mailsoftly MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Mailsoftly with

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

The Mailsoftly MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Mailsoftly account. It provides structured and secure access to your email marketing platform, so your agent can validate credentials, access firm information, and streamline campaign setup for you.
- API key authentication validation: Have your agent confirm your API key is working and securely connected before taking further actions.
- Retrieve firm details: Instantly pull details about your Mailsoftly organization to verify account information or tailor campaign strategies.
- Credential troubleshooting automation: Let your agent proactively diagnose and report authentication issues, making onboarding and integration smoother.
- Foundational checks for workflow automation: Use the agent to verify Mailsoftly connection status as the first step in building automated campaign flows.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `MAILSOFTLY_ADD_CONTACT_TO_CONTACT_LIST` | Add Contact to Contact List | Tool to add an existing contact to a specific contact list. Use when you need to add a contact to a contact list in Mailsoftly. |
| `MAILSOFTLY_ADD_CUSTOM_FIELD_TO_CONTACT` | Add Custom Field to Contact | Tool to add a custom field value to an existing contact. Use when you need to store additional custom data on a contact record. |
| `MAILSOFTLY_ASSIGN_TAGS_TO_CONTACT` | Assign Tags to Contact | Tool to assign multiple tags to an existing contact at once. Skips tags if they are already assigned to the contact. Use when you need to categorize or label a contact with one or more tags in Mailsoftly. |
| `MAILSOFTLY_AUTHENTICATE_FIRM` | Authenticate Firm | Tool to validate the API key and retrieve firm details. Use when confirming credentials before making other Mailsoftly API calls. |
| `MAILSOFTLY_CREATE_CONTACT` | Create Contact | Tool to create a new contact for the authenticated firm with email, first name, and last name. Use when adding new contacts to the firm's contact list. |
| `MAILSOFTLY_CREATE_CONTACT_LIST` | Create Contact List | Tool to create a new contact list for the authenticated firm. Use when organizing contacts into separate lists for targeted campaigns. |
| `MAILSOFTLY_CREATE_EMAILS` | Create Email Drafts | Tool to create one or more email drafts in Mailsoftly. Use when drafting emails for campaigns or communications. If contact_list_id is not provided, the system automatically creates a contact list from the provided recipients. |
| `MAILSOFTLY_CREATE_OR_UPDATE_CONTACT` | Create or Update Contact | Tool to create a new contact or update an existing contact in Mailsoftly. Use when you need to add a new contact to the system or update an existing contact's information. If contact_id is provided, the existing contact will be updated; otherwise, a new contact will be created. |
| `MAILSOFTLY_GET_CONTACT` | Get Contact | Tool to retrieve a specific contact by ID from Mailsoftly. Use when you need to fetch details about a specific contact. You can choose between basic or detailed view using the type parameter. |
| `MAILSOFTLY_GET_CONTACT_FIELDS` | Get Contact Fields | Tool to fetch all contact fields available for a firm, excluding hidden columns. Use when you need to retrieve the list of available contact field names and their data types. |
| `MAILSOFTLY_GET_CONTACT_LIST` | Get Contact List | Tool to retrieve details of a specific contact list by ID. Use when you need to fetch information about a contact list including its name and contact count. |
| `MAILSOFTLY_GET_CONTACT_LIST_CONTACTS` | Get Contact List Contacts | Tool to retrieve all contacts within a specific contact list. Use when you need to fetch the members of a particular contact list. |
| `MAILSOFTLY_GET_CONTACT_LISTS` | Get Contact Lists | Tool to retrieve all contact lists for the authenticated firm. Use when you need to view all available contact lists and their details. |
| `MAILSOFTLY_GET_CONTACTS` | Get Contacts | Tool to retrieve all contacts associated with a firm. Use when you need to fetch the complete list of contacts from Mailsoftly. |
| `MAILSOFTLY_GET_CUSTOM_FIELDS` | Get Custom Fields | Tool to retrieve all custom fields defined for the authenticated firm. Use when you need to understand what custom field options are available for contacts in Mailsoftly. |
| `MAILSOFTLY_GET_EMAIL_STATUS` | Get Email Status | Tool to fetch the status of a specific email draft by its ID. Use when checking if a draft is ready to send or to get its current status. |
| `MAILSOFTLY_GET_TAGS` | Get Tags | Tool to retrieve all tags associated with the authenticated firm. Use when you need to list available tags for organizing contacts or campaigns. |
| `MAILSOFTLY_SEARCH_CONTACTS` | Search Contacts | Tool to search for contacts matching specified criteria in Mailsoftly. Use when you need to find contacts by email, first name, or last name. At least one search parameter should be provided for meaningful results. |
| `MAILSOFTLY_SEND_EMAIL` | Send Email | Tool to send an existing email draft that is marked as ready. Use when you need to send a prepared email draft via Mailsoftly. |
| `MAILSOFTLY_UPDATE_CONTACT` | Update Contact | Tool to update an existing contact's information in Mailsoftly. Use when you need to modify contact details such as name or email address. |

## Supported Triggers

None listed.

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

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

mcp_url = session.mcp.url
```

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

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

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

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

Yes, absolutely. You can configure which Mailsoftly 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 Mailsoftly 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)