How to integrate Blooio MCP with OpenAI Agents SDK

This guide walks you through connecting Blooio to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Blooio agent that can review your chats, create contacts, tag contacts, manage groups, and check poll results through natural language commands. This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Blooio account through Composio's Blooio MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Blooio is a stable v2 API platform for messaging, chats, contacts, groups, phone numbers, and account analytics. It gives teams a clean way to build reliable communication workflows without stitching together fragile custom APIs.

26 Tools

Introduction

This guide walks you through connecting Blooio to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Blooio agent that can review your chats, create contacts, tag contacts, manage groups, and check poll results through natural language commands.

This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Blooio account through Composio's Blooio 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 Blooio
  • Configure an AI agent that can use Blooio as a tool
  • Run a live chat session where you can ask the agent to perform Blooio 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 Blooio MCP server, and what's possible with it?

The Blooio MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Blooio account. It provides structured and secure access to your messages, chats, contacts, groups, phone numbers, and account insights, so your agent can send messages, manage conversations, organize contacts, coordinate groups, and review account activity on your behalf.

  • Messaging and interactive polls: Have your agent send text, attachments, replies, or native iMessage polls, check delivery details, and review poll results.
  • Chat and reaction management: Let the agent find conversations, review message history, mark chats as read, and add or remove reactions from messages.
  • Contact organization: Direct your agent to create, find, update, or delete contacts, manage their tags, and check whether they can receive iMessage, SMS, or FaceTime.
  • Messaging group coordination: Instruct your agent to create, find, rename, or delete messaging groups and review their members.
  • Account and sender oversight: Have your agent review your organization, assigned devices, message usage, available sender numbers, and fleet risk summary.

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

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

Add Contact Tags

Add or reactivate one or more free-form tags on a contact.

Create Contact

Create a contact from an E.

Create Group

Create a messaging group, optionally linking an existing iMessage chat and recording its members; new contacts may be created for unknown members.

Delete Contact

Soft-delete one contact identified by E.

Delete Group

Soft-delete a group, remove its members, and exit its linked iMessage chat when one exists.

Get Account

Return the authenticated organization, assigned devices, and message usage without exposing the API-key identifier.

Get Chat

Return detailed counts, participant context, and latest-message metadata for one conversation.

Get Contact

Return one contact by E.

Get Contact Capabilities

Check whether a contact can receive iMessage, SMS, or FaceTime before choosing a communication path.

Get Group

Return one messaging group by its grp_ identifier.

Get Message

Return one message with content, reactions, delivery status, protocol, errors, and inline-reply context.

Get Poll Results

Return a poll's definition, option vote counts, and total votes.

Get Risk Summary

Return the cached fleet risk rollup.

List Chats

Search and page through conversations, ordered by recent activity or oldest activity.

List Contacts

Search and page through organization contacts by identifier or name.

List Group Members

Page through the members recorded for a messaging group.

List Groups

Search and page through messaging groups by name.

List Messages

Page through messages in one chat with direction, time-window, and ordering filters.

List Numbers

List sender phone numbers assigned to the connected API key and their availability state.

Mark Chat Read

Mark every message in a chat as read and irreversibly send an externally visible read receipt to the sender; the receipt cannot be unsent.

Remove Contact Tags

Soft-delete one or more exact tags from a contact sequentially; if a later removal fails, earlier removals remain applied.

Send Message

Irreversibly send one or multiple text, attachment, multipart, or inline-reply messages; multi-recipient sends may create or reuse an unnamed group and may incur messaging charges.

Send Poll

Irreversibly send an interactive native iMessage poll to a chat.

Set Message Reaction

Add or remove a classic tapback or emoji reaction on a specific or relative message in a chat.

Update Contact

Set or clear the display name of an existing contact.

Update Group

Rename a group and, when linked, synchronize the new name to its iMessage chat.

FAQ

Frequently asked questions

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

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

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