# How to integrate Campayn MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Campayn MCP with OpenAI Agents SDK",
  "toolkit": "Campayn",
  "toolkit_slug": "campayn",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/campayn/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/campayn/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:04:58.498Z"
}
```

## Introduction

This guide walks you through connecting Campayn to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Campayn agent that can add new subscriber to weekly newsletter list, list all active contact lists in account, fetch details for your last sent campaign through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Campayn account through Composio's Campayn MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Campayn with

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

The Campayn MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Campayn account. It provides structured and secure access to your contact lists, email campaigns, and subscriber management, so your agent can handle tasks like creating contacts, managing lists, fetching messages, and maintaining your email marketing automation—all on your behalf.
- Effortless contact management: Easily add new contacts, update existing ones, or permanently delete subscribers from your Campayn lists through your agent.
- Automated list organization: Ask your agent to create, retrieve, or clean up contact lists, making it simple to segment and manage your audience.
- Campaign and message insights: Have your agent fetch the details of individual messages or retrieve all campaign messages to keep you up to date with your email marketing efforts.
- Streamlined webform management: Direct your agent to delete outdated or unnecessary webforms, keeping your lead capture workflow tidy and current.
- Bulk data retrieval: Let your agent pull all contacts in a specific list or fetch all available lists with a single command, saving you time and effort when working with large datasets.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `CAMPAYN_CREATE_CONTACT` | Create Contact | Tool to create a new contact in a specific list. Use when you need to add a contact after gathering details. |
| `CAMPAYN_DELETE_CONTACT` | Delete Contact | Tool to delete a specific contact. Use when you need to remove a contact permanently after confirming it should be deleted. Example: "Delete contact 123". |
| `CAMPAYN_DELETE_LIST` | Delete List | Tool to delete a specific contact list. Use when cleaning up unused lists after confirming they are no longer needed. Example: "Delete list 123". |
| `CAMPAYN_DELETE_WEBFORM` | Delete webform | Delete a specific webform from a contact list. Use this to permanently remove a webform that is no longer needed. Requires both the list_id and webform_id - use Get Webforms action first to find these values. Note: The API returns success even for non-existent webform IDs (idempotent delete behavior). |
| `CAMPAYN_GET_CONTACT` | Get Contact | Tool to retrieve a specific contact by ID. Use when you need to fetch full contact details after confirming the contact ID. |
| `CAMPAYN_GET_CONTACTS` | Get Contacts | Retrieves all contacts from a specific contact list in Campayn. Returns contact details including email, name, address, and confirmation status. Use 'Get Lists' action first to obtain the list_id. Supports optional filtering by contact name/email/company. |
| `CAMPAYN_GET_LISTS` | Get Lists | Tool to retrieve all contact lists. Use when you need to fetch available lists before performing list-specific actions. Example prompt: "List all my contact lists". |
| `CAMPAYN_GET_MESSAGE` | Get Message Statistics | Tool to retrieve engagement statistics for a specific email message by ID. Returns views, positive responses (clicks), and negative responses (unsubscribes/bounces). Use GET_MESSAGES first to get the list of available message IDs. |
| `CAMPAYN_GET_MESSAGES` | Get Messages | Tool to retrieve all email messages. Use when you need to list all messages visible to the authenticated user. |
| `CAMPAYN_GET_REPORTS` | Get Reports | Tool to retrieve report URLs and metadata for sent and scheduled emails. Use when you need to fetch email delivery data, optionally filtered by a date range (Unix timestamp in seconds, UTC). Note: scheduled emails will have report_url set to null. |
| `CAMPAYN_GET_WEBFORM` | Get Webform | Tool to retrieve details of a specific webform by ID. Use after confirming the webform ID when you need to fetch form details like title, type, HTML, and signup count. Example: "Get webform 1550". |
| `CAMPAYN_GET_WEBFORMS` | Get Webforms | Tool to retrieve all webforms for a specific contact list. Use when you need to list forms after confirming the list ID. Example prompt: "List all webforms in list 123". |
| `CAMPAYN_UNSUBSCRIBE_CONTACT` | Unsubscribe Contact | Tool to unsubscribe contacts from a list by contact id or email address. Use when you need to remove contacts from a mailing list. If id is provided, only that specific contact will be unsubscribed. If email is provided, all contacts on that list with that email will be unsubscribed. |
| `CAMPAYN_UPDATE_LIST` | Update List | Tool to update a contact list. Use after confirming list ID and desired changes. Example: Update list 123 name to 'Newsletter Subscribers'. |

## Supported Triggers

None listed.

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

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

mcp_url = session.mcp.url
```

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

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

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- [Doppler marketing automation](https://composio.dev/toolkits/doppler_marketing_automation) - Doppler marketing automation is a platform for creating, sending, and tracking email campaigns. It helps you automate marketing workflows and manage subscriber lists for better engagement.

## Frequently Asked Questions

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

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

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

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

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