# How to integrate Mailbluster MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Mailbluster MCP with OpenAI Agents SDK",
  "toolkit": "Mailbluster",
  "toolkit_slug": "mailbluster",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/mailbluster/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/mailbluster/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:18:05.428Z"
}
```

## Introduction

This guide walks you through connecting Mailbluster to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Mailbluster agent that can add new lead with email and name, list all products in your catalog, get details for recent order by id through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Mailbluster account through Composio's Mailbluster MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Mailbluster with

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

The Mailbluster MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Mailbluster account. It provides structured and secure access to your email marketing tools and data, so your agent can perform actions like creating leads, managing products, processing orders, and listing campaign resources on your behalf.
- Lead creation and management: Seamlessly add new leads to your Mailbluster campaigns with just an agent prompt, ensuring your audience list stays up to date.
- Product catalog management: Let your agent create, retrieve, list, or delete products in your Mailbluster catalog, making it easy to manage what you promote via email.
- Order processing and tracking: Automatically create, fetch, list, or delete orders, so you always have up-to-date insights into campaign transactions and purchases.
- Custom field discovery: Easily retrieve all custom fields defined in your Mailbluster account, helping your agent personalize emails or segment audiences with precision.
- Bulk resource listing: Quickly list all products or orders with advanced filtering, sorting, and pagination, empowering your agent to generate tailored campaign reports or summaries.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `MAILBLUSTER_CREATE_LEAD` | Create MailBluster Lead | Tool to create a new lead in MailBluster. Use after gathering the lead's email and optional data. |
| `MAILBLUSTER_CREATE_ORDER` | Create Order | Tool to create a new order in MailBluster. |
| `MAILBLUSTER_CREATE_PRODUCT` | Create Product | Tool to create a new product in MailBluster. Use when you have all product details ready to add it to your MailBluster catalog. Requires a unique product ID and name. |
| `MAILBLUSTER_DELETE_LEAD` | Delete MailBluster Lead | Tool to delete a lead by lead email hash. Use after confirming the lead hash (MD5 encrypted email address). |
| `MAILBLUSTER_DELETE_ORDER` | Delete Order | Tool to delete a specific order. Use after confirming the order ID to remove an order from Mailbluster. |
| `MAILBLUSTER_DELETE_PRODUCT` | Delete Mailbluster Product | Tool to delete a product. Use after confirming product existence. |
| `MAILBLUSTER_GET_LEAD` | Get Lead | Tool to retrieve a specific lead's information using their lead hash (MD5 encrypted email address). Use when you need to fetch lead details by their email hash. |
| `MAILBLUSTER_GET_ORDER` | Get Order | Tool to retrieve details of a specific order. Use when you have the order's ID. |
| `MAILBLUSTER_GET_PRODUCT` | Get Product | Tool to retrieve details of a specific product. Use when you have a valid product ID and need full product information. |
| `MAILBLUSTER_LIST_FIELDS` | List Fields | Tool to list all custom fields. Use when you need to retrieve all defined custom fields after authenticating with MailBluster. |
| `MAILBLUSTER_LIST_ORDERS` | List Orders | Tool to list all orders. Use when you need to retrieve orders with optional pagination, sorting, or searching after authenticating with Mailbluster. |
| `MAILBLUSTER_LIST_PRODUCTS` | List Products | Tool to list all products. Use when you need to retrieve products with optional pagination, sorting, or filtering. |
| `MAILBLUSTER_UPDATE_LEAD` | Update MailBluster Lead | Tool to update an existing lead's information in MailBluster. Use when you need to modify lead details, subscription status, or manage tags. |
| `MAILBLUSTER_UPDATE_ORDER` | Update Order | Tool to update an existing order's customer details, currency, price, and items in MailBluster. Use when you need to modify an order. |
| `MAILBLUSTER_UPDATE_PRODUCT` | MailBluster Update Product | Tool to update a product in MailBluster by its ID. Use after confirming the product ID to modify attributes. |

## Supported Triggers

None listed.

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

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

mcp_url = session.mcp.url
```

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

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

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## Frequently Asked Questions

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

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

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

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

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