How to integrate Botbaba MCP with OpenAI Agents SDK

Connect OpenAI Agents SDK to Botbaba MCP. Deploy new chatbot to whatsapp channel, update chatbot greeting message instantly, and more using natural language, with authentication handled for you.

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Api Key

Botbaba is a platform for building, managing, and deploying conversational AI chatbots across messaging channels. It streamlines chatbot automation, making it easier to integrate AI into customer interactions.

42 Tools

Introduction

This guide walks you through connecting Botbaba to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Botbaba agent that can send WhatsApp template messages, manage broadcasts and flows, update contacts and tags, edit message templates, and track message analytics through natural language commands.

This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Botbaba account through Composio's Botbaba MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

For exact tool slugs and parameter tables, see the tool catalog in the Composio docs.

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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 Botbaba
  • Configure an AI agent that can use Botbaba as a tool
  • Run a live chat session where you can ask the agent to perform Botbaba 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 Botbaba MCP server, and what's possible with it?

The Botbaba MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Botbaba account. It provides structured and secure access to your chatbot management platform, so your agent can perform actions like creating bots, updating conversation flows, managing integrations, deploying changes, and monitoring chatbot analytics on your behalf.

  • Bot creation and configuration: Instantly create new chatbots, set up welcome messages, and configure basic settings directly from your agent.
  • Conversational flow management: Update, organize, or refine conversation trees, intents, and responses for smarter, more natural chatbot interactions.
  • Integration with messaging platforms: Enable your agent to connect bots with channels like WhatsApp, Facebook Messenger, and web chat for seamless communication.
  • Real-time deployment and publishing: Push bot changes live or roll back updates—ensuring your chatbots stay current and relevant with minimal effort.
  • Analytics and performance monitoring: Automatically fetch usage statistics, analyze user engagement, and monitor bot performance to optimize conversational experiences.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Composio API Key and OpenAI API Key
  • Primary know-how of OpenAI Agents SDK
  • A live Botbaba project
  • Some knowledge of Python or Typescript
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard 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
3

Install dependencies

npm install @composio/openai-agents @openai/agents dotenv

Install the Composio SDK and the OpenAI Agents SDK.

4

Set up environment variables

bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com

Create a .env file and add your OpenAI and Composio API keys.

5

Import dependencies

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';
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 Botbaba.
6

Set up the Composio instance

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(),
});
What's happening:
  • dotenv.config() loads your .env file so COMPOSIO_API_KEY and USER_ID are available as environment variables.
  • Creating a Composio instance using the API Key and OpenAIAgentsProvider class.
7

Create a Tool Router session

// Create Tool Router session for Botbaba
const session = await composio.create(userId as string, {
  toolkits: ['botbaba'],
});
const mcpUrl = session.mcp.url;

What is happening:

  • You give the Tool Router the user id and the toolkits you want available. Here, it is only botbaba.
  • The router checks the user's Botbaba connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access Botbaba.
  • This approach keeps things lightweight and lets the agent request Botbaba tools only when needed during the conversation.
8

Configure the agent

// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Botbaba. Help users perform Botbaba operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
What's happening:
  • We're creating an Agent instance with a name, model (gpt-5), and clear instructions about its purpose.
  • The agent's instructions tell it that it can access Botbaba and help with queries, inserts, updates, authentication, and fetching database information.
  • The tools array includes a hostedMcpTool that connects to the MCP server URL we created earlier.
  • The headers object includes the Composio API key for secure authentication with the MCP server.
  • requireApproval: 'never' means the agent can execute Botbaba operations without asking for permission each time, making interactions smoother.
9

Start chat loop and handle conversation

// 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);
});
What's happening:
  • The program prints a session URL that you visit to authorize Botbaba.
  • After authorization, the chat begins.
  • Each message you type is processed by the agent using run().
  • The responses are printed to the console.
  • Typing exit, quit, or q cleanly ends the chat.

Complete Code

Here's the complete code to get you started with Botbaba and OpenAI Agents SDK:

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: ['botbaba'],
  });
  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 Botbaba. Help users perform Botbaba 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 Botbaba MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Botbaba.

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.
TOOLS

Supported Tools

Every Botbaba action and event your agent gets out of the box.

Shopify Cart Creation Simulator

Tool to simulate a Shopify cart creation webhook payload.

Cart Creation Shopify Webhook

Tool to receive Shopify Cart Creation webhooks.

Cart Update Shopify Webhook

Tool to forward Shopify cart update events to BotBaba.

Shopify Checkout Creation Webhook Receiver

Forward a Shopify checkout creation webhook payload to BotBaba.

Checkout Update Shopify Webhook

Tool to forward Shopify checkout/update events to Botbaba.

Delete a broadcast campaign

Tool to delete a broadcast campaign.

Delete Contact

Tool to delete a contact.

Delete a conversation flow

Tool to delete a conversation flow.

Delete Tag

Tool to delete a tag.

Delete Template

Tool to delete a message template.

Delete a webhook subscription

Tool to delete a webhook subscription.

Execute Bot Action

Request execution of a bot action or workflow, optionally for a specific conversation.

Execute Bot Action By User

Tool to execute a bot action for specific users.

Get Bot Widget Settings

Retrieve widget configuration settings for a bot by ID.

Get Broadcast

Retrieve details of a broadcast by ID.

Get BotBaba Contact

Fetch a BotBaba contact by ID, returning available normalized contact fields.

Get Contact Analytics

Aggregate contact interaction metrics from messages, along with tag and broadcast counts.

Get Filename from Path

Tool to extract the filename from a file path.

Get Flow

Retrieve a flow by ID, including by matching a returned list.

Get Message

Retrieve a specific message by ID to check its delivery status after sending.

Get Message Analytics

Retrieve analytics for a specific message to help assess its delivery and engagement.

Get Template

Tool to retrieve details of a specific template.

Get Webhook

Retrieve details of a Botbaba webhook by ID to inspect its configuration, for example when investigating event deliveries.

List Broadcasts

Tool to list all broadcast campaigns.

List Flows

Tool to list all conversation flows with their IDs and metadata.

List Tags

Tool to list all tags.

List Templates

Tool to retrieve a paginated list of templates.

List Webhook Event Types

List webhook event type identifiers to help choose events when creating or updating a Botbaba webhook.

List Webhooks

Tool to list all registered webhooks.

Receive Shopify Order Cancellation Webhook

Acknowledge a supplied Shopify orders/cancelled webhook payload by returning success; the action does not verify the signature or process the order.

Order Fulfillment Simulator

Tool to simulate a Shopify order fulfillment webhook payload.

Order Fulfillment Shopify Webhook

Acknowledge a supplied Shopify fulfillment webhook payload and extract its fulfillment ID, order ID and status.

Order Payment Shopify Webhook

Acknowledge a supplied Shopify order payment webhook payload and extract order and payment details.

Send WhatsApp Template Message

Send a WhatsApp template message via Botbaba using the full message JSON from the Template UI.

Shopify Checkout Creation Simulator

Tool to simulate a Shopify checkout creation webhook payload.

Shopify Checkout Update Simulator

Tool to simulate a Shopify checkout update webhook payload.

Update Contact

Tool to update an existing contact.

Update Tag

Tool to update an existing tag.

Update Template

Update an existing Botbaba message template by ID, specifying the name, content, type or placeholder definitions to change.

Update Webhook

Update an existing webhook by ID, changing its callback URL, subscribed events, or activation status.

Gupshup WhatsApp Webhook Event Simulator

Tool to simulate Gupshup WhatsApp webhook events.

Forward Gupshup Webhook Message

Tool to forward inbound WhatsApp webhook events from Gupshup to Botbaba.

FAQ

Frequently asked questions

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