How to integrate Dripcel MCP with OpenAI Agents SDK

This guide walks you through connecting Dripcel to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Dripcel agent that can send sms promotion to new signups, check current dripcel credit balance, list replies to last week's campaigns through natural language commands. This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Dripcel account through Composio's Dripcel MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Api Key

Dripcel is a cloud-based SMS marketing platform powered by AI and machine learning. It helps businesses automate and optimize customer text campaigns for higher engagement.

18 Tools

Introduction

This guide walks you through connecting Dripcel to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Dripcel agent that can send sms promotion to new signups, check current dripcel credit balance, list replies to last week's campaigns through natural language commands.

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

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

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

The Dripcel MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Dripcel account. It provides structured and secure access to your SMS marketing campaigns, contacts, and analytics, so your agent can perform actions like sending messages, managing contacts, retrieving campaign results, and optimizing compliance checks on your behalf.

  • Automated SMS sending and scheduling: Easily instruct your agent to send targeted SMS messages to customers or schedule campaign deliveries for maximum impact.
  • Contact and tag management: Have your agent add tags to contacts, create new contacts on the fly, or delete outdated ones to keep your audience list clean and organized.
  • Campaign and delivery analytics: Let your agent fetch real-time campaign lists, delivery statuses, and sales data to keep you informed and support data-driven decisions.
  • Reply and compliance monitoring: Direct your agent to search for message replies using flexible filters or check your contact list against compliance rules before launching campaigns.
  • Credit balance and resources tracking: Ask your agent to check your current credit balance before sending messages or running large campaigns, ensuring uninterrupted operations.

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 Dripcel 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 Dripcel.
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 Dripcel
const session = await composio.create(userId as string, {
  toolkits: ['dripcel'],
});
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 dripcel.
  • The router checks the user's Dripcel connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access Dripcel.
  • This approach keeps things lightweight and lets the agent request Dripcel 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 Dripcel. Help users perform Dripcel 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 Dripcel 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 Dripcel 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 Dripcel.
  • 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 Dripcel 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: ['dripcel'],
  });
  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 Dripcel. Help users perform Dripcel 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 Dripcel MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Dripcel.

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 Dripcel action and event your agent gets out of the box.

Create Contacts in Bulk

Tool to upload a list of new contacts to Dripcel in bulk.

Delete Contact

Tool to delete a contact by their cell number.

Delete Tag

Tool to delete a tag by its ID.

Get current credit balance

Retrieves the current credit balance for your Dripcel organization account.

Get Dripcel Campaigns

Retrieves a list of campaigns from Dripcel.

Get contact by cell number

Tool to retrieve a single contact by their cell number (MSISDN).

Get Deliveries

Tool to retrieve SMS/email delivery records from Dripcel.

Get email templates

Retrieves all email templates from your Dripcel account.

Get sales

Tool to retrieve a list of all sales.

List all tags

Tool to retrieve all tags in your Dripcel organization.

Opt out contact from campaigns

Tool to opt out a contact from multiple campaigns at once.

Check SMS Compliance

Check if phone numbers are allowed to receive SMS messages based on opt-out status and campaign targeting rules.

Search replies based on filters

Search for SMS/message replies with flexible filtering by ID, campaign, phone number, reply type, message content, or date range.

Add tags to a contact

Add one or more tags to a contact identified by phone number.

Search send logs

Search for SMS send logs with flexible filtering by ID, phone number, campaign, delivery, message content (regex), or date range.

Send Bulk Email

Tool to send bulk emails to multiple recipients using a template.

Send SMS

Tool to send a single SMS to a contact.

Upsert Contacts

Tool to upload contacts in bulk, creating new contacts or updating existing ones.

FAQ

Frequently asked questions

With a standalone Dripcel MCP server, the agents and LLMs can only access a fixed set of Dripcel tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Dripcel and many other apps based on the task at hand, all through a single MCP endpoint.

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 Dripcel tools.

Yes, absolutely. You can configure which Dripcel 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.

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 Dripcel data and credentials are handled as safely as possible.

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